Elevation

Height above or below seal level, for example altitude, bathymetry, digital elevation models, slope, derived products, DEMs, TINs
Subtopics:
(none)

Results listed by similarity [list alphabetically]
Elevation Data Collected in 2010 from Sabine National Wildlife Refuge, Louisiana

Data release doi:10.5066/F7BR8QBH associated with this metadata record serves as an archive of elevation data collected in August 2010 from Sabine National Wildlife Refuge (SNWR), Louisiana (U.S. Geological Survey [USGS] Field Activity Number [FAN] 10SWL0

Elevation Data Collected in 2010 from Sabine National Wildlife Refuge, Louisiana

Data release doi:10.5066/F7BR8QBH associated with this metadata record serves as an archive of elevation data collected in August 2010 from Sabine National Wildlife Refuge (SNWR), Louisiana (U.S. Geological Survey [USGS] Field Activity Number [FAN] 10SWL0

Elevation point cloud from low-altitude aerial imagery from UAS flights over Black Beach, Falmouth, Massachusetts on 18 March 2017 (LAZ file)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Elevation point cloud from low-altitude aerial imagery from UAS flights over Black Beach, Falmouth, Massachusetts on 18 March 2017 (LAZ file)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Elevations surveyed at Black Beach, Falmouth, Massachusetts on 18 March 2016 (text file)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Elevations surveyed at Black Beach, Falmouth, Massachusetts on 18 March 2016 (text file)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Elevation of marsh units in Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia

Elevation distribution in the Assateague Island National Seashore (ASIS) salt marsh complex and Chincoteague Bay is given in terms of mean elevation of conceptual marsh units defined by Defne and Ganju (2018). The elevation data is based on the 1-meter re

Elevation of marsh units in Plum Island Estuary and Parker River salt marsh complex, Massachusetts

This data release provides elevation distribution in the Plum Island Estuary and Parker River (PIEPR) salt marsh complex. Elevation distribution was calculated in terms of mean elevation of conceptual marsh units defined by Defne and Ganju (2018). The ele

Elevation of the late Wisconsinan to early Holocene regressive unconformity (Ur) beneath Vineyard and western Nantucket Sounds, Massachusetts (Esri binary grid; UTM, Zone 19N, WGS 84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-b

Elevation of paleochannel unconformities underlying the inner shelf of Long Bay (Grid)

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Pre

Elevation of the regional transgressive unconformity underlying the inner shelf of Long Bay (Grid; transgr_grd)

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Pre

Elevation of the bedrock surface within the St. Clair River between Michigan and Ontario, Canada, 2008 (ESRI GRID, DSUELEV)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Digital elevation models (DEMs) of northern Monterey Bay, California, October 2014

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in October 2014. Bathymetry data were collected using two personal watercraft (PWCs), each eq

Digital elevation models (DEMs) of northern Monterey Bay, California, March 2015

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in March 2015. Bathymetry data were collected using two personal watercraft (PWCs), each equi

Digital elevation models (DEMs) of northern Monterey Bay, California, September and October 2015

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in September and October 2015. Bathymetry data were collected using two personal watercraft (

Digital elevation models (DEMs) of northern Monterey Bay, California, March 2016

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in March 2016. Bathymetry data were collected using two personal watercraft (PWCs), each equi

Digital elevation models (DEMs) of northern Monterey Bay, California, September and October 2016

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in September and October 2016. Bathymetry data were collected using a personal watercraft (PW

Digital elevation models (DEMs) of northern Monterey Bay, California, March 2017

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in March 2017. Bathymetry data were collected using two personal watercraft (PWCs), each equi

Digital elevation models (DEMs) of northern Monterey Bay, California, September 2017

This part of the data release presents digital elevation models (DEMs) derived from bathymetry and topography data of northern Monterey Bay, California collected in September 2017. Bathymetry data were collected using two personal watercraft (PWCs), each

Digital elevation model of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015

This product is a digital elevation model (DEM) for the Little Holland Tract in the Sacramento-San Joaquin River Delta, California based on U.S. Geological Survey (USGS)-collected elevation data, merged with existing topographic and bathymetric elevation

San Francisco Bay-Delta bathymetric/topographic digital elevation model(DEM)

A high-resolution (10-meter per pixel) digital elevation model (DEM) was created for the Sacramento-San Joaquin Delta using both bathymetry and topography data. This DEM is the result of collaborative efforts of the U.S. Geological Survey (USGS) and the C

Digital elevation model of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015

This product is a digital elevation model (DEM) for the Little Holland Tract in the Sacramento-San Joaquin River Delta, California based on U.S. Geological Survey (USGS)-collected elevation data, merged with existing topographic and bathymetric elevation

Hydro-flattened Elevation Area Outlines for DEMs of the North-Central California Coast (Hydro_flattened_water.shp)

A GIS polygon shapefile outlining the extent of small lakes or ponds within the terrain that were assigned a hydo-flattened elevation during lidar post-processing. DEM elevations within these small areas reflect water surface elevations, not bathymetric

A seamless, high-resolution, coastal digital elevation model (DEM) for Southern California

A seamless, three-meter digital elevation model (DEM) was constructed for the entire Southern California coastal zone, extending 473 km from Point Conception to the Mexican border. The goal was to integrate the most recent, high-resolution datasets availa

Digital elevation models (DEMs) of the Elwha River delta, Washington, September 2010

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in September 2010. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sedim

Digital elevation models (DEMs) of the Elwha River delta, Washington, August 2011

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in August 2011. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment

Digital elevation models (DEMs) of the Elwha River delta, Washington, May 2011

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in May 2011. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, r

Digital elevation models (DEMs) of the Elwha River delta, Washington, August 2012

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in August 2012. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment

Digital elevation models (DEMs) of the Elwha River delta, Washington, May 2012

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in May 2012. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, r

Digital elevation models (DEMs) of the Elwha River delta, Washington, March 2013

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in March 2013. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment,

Digital elevation models (DEMs) of the Elwha River delta, Washington, September 2013

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in September 2013. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sedim

Digital elevation models (DEMs) of the Elwha River delta, Washington, April 2014

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in April 2014. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment,

Digital elevation models (DEMs) of the Elwha River delta, Washington, September 2014

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in September 2014. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sedim

Digital elevation models (DEMs) of the Elwha River delta, Washington, January 2015

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in January 2015. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sedimen

Digital elevation models (DEMs) of the Elwha River delta, Washington, July 2015

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in July 2015. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment,

Digital elevation models (DEMs) of the Elwha River delta, Washington, February 2016

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in February 2016. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sedime

Digital elevation models (DEMs) of the Elwha River delta, Washington, July 2016

This part of the data release presents a digital elevation model (DEM) derived from bathymetry and topography data of the Elwha River delta collected in July 2016. Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment,

Interpolated digital elevation model (DEM) of the nearshore around Ship, Horn, and Petit Bois Islands, Mississippi: 1916 to 1920

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Interpolated digital elevation model (DEM) of the nearshore around Ship, Horn, and Petit Bois Islands, Mississippi: 2008 to 2009

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Coastal bathymetry data collected between 2008 and 2009 offshore of the Mississippi and Alabama barrier islands: Processed elevation point data

During the summers of 2008 and 2009 the United States Geological Survey (USGS) conducted bathymetric surveys from West Ship Island, Mississippi, to Dauphin Island, Alabama, as part of the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Suscepti

Beach Topography—Fire Island, New York, Pre-Hurricane Sandy, January 2012: Ground Based Lidar (1-Meter Digital Elevation Model)

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, North Carolina collaborated to gather alongshore ground-based lidar beach topograph

Digital Elevation Model from Single Beam Bathymetry XYZ Data Collected in June 2015 from the Chandeleur Islands, Louisiana

As part of the Louisiana Coastal Protection and Restoration Authority (CPRA) Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam

Digital Elevation Model from Single-Beam Bathymetry XYZ Data Collected in 2015 from Raccoon Point to Point Au Fer, Louisiana

As part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the south-central coast of

Ground-Based XYZ Point Elevation Data Collected in May 2015 From Fire Island, New York

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Shoreface Coastal Bathymetry Data Collected in May 2015 From Fire Island, New York: 100-Meter Digital Elevation Model

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Wilderness Breach Bathymetry Data Collected in May 2015 From Fire Island, New York: 50-Meter Digital Elevation Model

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Interpolated digital elevation model (DEM) of the nearshore around Ship, Horn, and Petit Bois Islands, Mississippi: 2016

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Breton2014_IFB_SBB_100_NAD83_NAVD88_UTM16N_GEOID09_DEM: A geotiff of the 100-meter cell size digital elevation model derived from the processed interferometric swath, single beam bathymetry, and Lidar data points.

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

Cape Canaveral, Florida, multibeam bathymetry collected in 2016 by Coastal Carolina University: Processed elevation point data (XYZ) Geospatial_Data_Presentation_Form: tabular digital data

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

50-Meter Digital Elevation Model of Coastal Bathymetry Collected in 2011 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Numbers 11BIM01 and 11BIM02)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011.

50-Meter Digital Elevation Model of Coastal Bathymetry Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Numbers 12BIM03 and 12BIM04)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in Julyof 2012.

Chandeleurs_2013_50_NAD83_NAVD88_GEOID09_DEM.tif: 50-Meter Digital Elevation Model (DEM) of Coastal Bathymetry Collected in 2013 from the Chandeleur Islands, Louisiana (U.S. Geological Survey (USGS) Field Activity Numbers (FAN) 13BIM02, 13BIM03, 13BIM04, 13BIM07, and 13BIM08.)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana

Shoreface Coastal Bathymetry Data Collected in June 2014 from Fire Island, New York: 50-Meter Digital Elevation Model

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Wilderness Breach Bathymetry Data Collected in June 2014 from Fire Island, New York: 25-Meter Digital Elevation Model

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Single-Beam Bathymetry of the Hurricane Sandy Breach at Fire Island, New York, June 2013 (1-Meter Digital Elevation Model)

This dataset, 20130626_bathy_DEM.zip, contains a 1-meter (m) grid of June 2013 bathymetry of the breach channel, ebb shoal, and adjacent coast of the Fire Island Wilderness Breach. Scientists from the U.S. Army Corps of Engineers (USACE), in collaboration

Multibeam Bathymetry Data Collected in 2016 from Grand Bay Alabama/Mississippi: Processed elevation point data (x,y,z)

A reconnaissance multibeam bathymetry survey was conducted by the U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Grand Bay Alabama/Mississippi on May 12, 2016 as an assessment of the shallow water capabilities of

Storm-Impact Scenario XBeach Model Inputs – Initial Bathymetry and Topography Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Lower Florida Keys-Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transitio

Snap Raster used to create interpolated digital elevation models (DEMs) in the nearshore around Ship, Horn, and Petit Bois Islands, Mississippi: 1916 to 1920, 2008 to 2009 and 2016

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Maui, Hawaii-Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transitio

St. Croix, U.S. Virgin Islands—Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transitio

St. Thomas, U.S. Virgin Islands-Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transitio

Storm-Impact Scenario XBeach Model Results – Scenario 11 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 12 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 1 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 20 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 2 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 3 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 6 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 7 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Storm-Impact Scenario XBeach Model Results – Scenario 8 Digital Elevation Model (DEM) Grid

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave prop

Bathymetric Digital Elevation Model (DEM) of the 2016 nearshore coastal bathymetry from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi.

The United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC), in cooperation with the United States Army Corps of Engineers (USACE) conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Isl

Bathymetric Digital Elevation Model (DEM) of the 2016 nearshore coastal bathymetry from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi.

The United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC), in cooperation with the United States Army Corps of Engineers (USACE) conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Isl

Upper Florida Keys-Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transitio

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Digital elevation model (DEM)

A DEM was produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), from remotely sensed, geo

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar and digital elevation model (DEM) tile index

This data represents the tile index for lidar data collected for the U.S. Geological Survey in November 2012 following Hurricane Sandy, which made landfall in the eastern United States on October 29th, 2012. The lidar LAS and derived-digital elevation mod

30 meter Esri binary grids of predicted elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83)

The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal respons

30 meter Esri binary grids of probability of predicted elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83)

The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal respons

Braddock East digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (32-bit floating point GeoTIFF image).

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Braddock West digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (32-bit floating point GeoTIFF image).

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Digital elevation model (DEM) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Digital elevation model (DEM) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Comma separated value (CSV) text files of navigation and elevation data collected by the U.S. Geological Survey during field activity 2016-030-FA offshore Sandwich Beach, MA in June 2016

The objectives of the survey were to provide bathymetric and sidescan sonar data for sediment transport studies and coastal change model development for ongoing studies of nearshore coastal dynamics along Sandwich Town Neck Beach, MA. Data collection equ

Chimney Bluffs digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017 (32-bit floating point GeoTIFF image)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Charles Point digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Greig Street digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Lake Bluffs digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Sodus North digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

3 arc second digital elevation model of the Gulf of Maine

A gap-free, region-wide combined topographic/bathymetric grid at a fixed resolution is useful for describing the topography of the seafloor and for a wide variety of oceanographic studies. Generating a bathymetric grid of this type consists of (1) locatin

Continuous and optimized 3-arcsecond elevation model for the United States east coast (32-bit GeoTiff, geographic, NAD83)

Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate

Continuous and optimized 3-arcsecond elevation model for the United States east coast (32-bit GeoTiff, geographic, NAD83)

Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate

Continuous and optimized 3-arcsecond elevation model for the United States west coast (32-bit GeoTiff, geographic, NAD83)

Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate

Continuous and optimized 3-arcsecond elevation model for the United States west coast (32-bit GeoTiff, geographic, NAD83)

Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate

Interpretation of the elevation of the coastal-plain unconformity derived from seismic data collected within the New York Bight by the U.S. Geological Survey, 1995 - 1998 (Grid, UTM Zone 18N, WGS84 and Esri polyline shapefile, Geographic, WGS84)

Mapping the elevation of the coastal-plain unconformity is useful for delineating the geologic framework of the New York Bight inner-continental shelf. This in turn aids in understanding the stratigraphic evolution of the inner-continental shelf, the regi

ESRI Format Binary Grid of the Merged Bathymetry and Elevation Data from the Potomac River/Chesapeake Bay Area For Use With USGS Cruise 06018 (POTO_AREA)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

ESRI Format Binary Grid of the Merged Bathymetry and Elevation Data from the Potomac River/Chesapeake Bay Area For Use With USGS Cruise 06018 (POTO_AREA)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Bathymetric data, stored as elevations relative to IGLD85, collected by the U.S. Geological Survey within the St. Clair River between Michigan and Ontario, Canada, 2008 (ESRI GRID, BATHY_05M)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Bathymetric data, stored as elevation above IGLD85, collected by the U.S. Geological Survey within the St. Clair River offshore of Marysville, Michigan, 2008 (ESRI GRID, MVILLE_05M)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Bathymetric data, stored as elevations above IGLD85, collected by the U.S. Geological Survey within the St. Clair River offshore of Port Lambton, Ontario, 2008 (ESRI GRID, PORTL_05M)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Esri Format Binary Grid of the Merged Bathymetry and Elevation Data from the Corsica River Estuary, Maryland For Use with USGS Cruise 07005 (COMBELEV)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Esri Format Binary Grid of the Merged Bathymetry and Elevation Data from the Corsica River Estuary, Maryland For Use with USGS Cruise 07005 (COMBELEV)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Multichannel sparker seismic-reflection data between Cross Sound and Dixon Entrance, offshore southeastern Alaska, collected from 2016-05-17 to 2016-06-12 during field activity 2016-625-FA

Multichannel sparker (MCS) seismic-reflection data were collected along the Queen Charlotte-Fairweather Fault between Cross Sound and Dixon Entrance, offshore southeastern Alaska from 2016-05-17 to 2016-06-12. Data were collected aboard the Alaska Departm

Multibeam bathymetry data between Cross Sound and Dixon Entrance, offshore southeastern Alaska, collected from 2016-05-17 to 2016-06-12 during field activity 2016-625-FA

Multibeam bathymetry data were collected along the Queen Charlotte-Fairweather Fault between Icy Point and Dixon Entrance, offshore southeastern Alaska from 2016-05-17 to 2016-06-12. Data were collected aboard the Alaska Department of Fish and Game R/V Me

Bathymetry and Acoustic Backscatter: Northern Santa Barbara Channel, Southern California

This report presents bathymetry and acoustic backscatter data collected in July 2008 in the northern Santa Barbara Channel, California, using a bathymetric sidescan system. The report also presents a summary of the mapping effort as well as Federal Geogra

Bathymetry and Acoustic Backscatter: Northern Santa Barbara Channel, Southern California

This report presents bathymetry and acoustic backscatter data collected in July 2008 in the northern Santa Barbara Channel, California, using a bathymetric sidescan system. The report also presents a summary of the mapping effort as well as Federal Geogra

Acoustic backscatter data collected in 2007 from the San Miguel Passage in the Channel Islands, California

This portion of the data release presents acoustic backscatter data from the San Miguel Passage, in the Channel Islands, California. The data were collected in August 2007 by the U.S. Geological Survey, Pacific Coastal and Marine Science Center (USGS, PCM

Bathymetry data collected in 2007 from the San Miguel Passage in the Channel Islands, California

This portion of the data release presents bathymetry data from the San Miguel Passage, in the Channel Islands, California. Bathymetry data were collected in the San Miguel Passage, Channel Islands, California in August 2007 by the U.S. Geological Survey,

Contours-Oregon OCS Floating Wind Farm Site

This data release contains data from the USGS field activity 2014-607-FA, a survey of the Oregon Outer Continental Shelf (OCS) Floating Wind Farm Site in 2014. The bathymetry raster was generated from bathymetry data collected by U.S. Geological Survey (U

Structure-from-Motion (SfM) surface models derived from seafloor video from the Channel Islands, California

Structure-from-Motion (SfM) surface models were created using seafloor video collected over a visible fault scarp in the Channel Islands, California, during a 2016 U.S. Geological Survey (USGS) field activity. Four SfM surface models were created, each wi

Contours-Oregon OCS Floating Wind Farm Site

This data release contains data from the USGS field activity 2014-607-FA, a survey of the Oregon Outer Continental Shelf (OCS) Floating Wind Farm Site in 2014. The bathymetry raster was generated from bathymetry data collected by U.S. Geological Survey (U

10 m depth contours-Santa Barbara Channel

This Data Release contains GIS data generated by USGS for use in a BOEM funded project to compare natural rockfish nursery habitat to habitat created by manmade structures in the eastern Santa Barbara Channel. The contours were created from published Data

Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011

This part of the data release presents a digital elevation model (DEM) created from bathymetry data collected on February 1, 2011, in the Sacramento River from the confluence of the Feather River to Knights Landing. The data were collected by the USGS Pac

CCALBATC - bathymetric contours for the central California region between Point Arena and Point Sur.

CCALBATC consists of bathymetric contours at 10-m and 50-m intervals for the area offshore of central California between Point Arena to the north and Point Sur to the south. The lines were digitized from 1:250,000-scale NOAA charts. This is one of a col

Nearshore bathymetry data from northern Monterey Bay, California, October 2014

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in October 2014 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite

Topography data from northern Monterey Bay, California, October 2014

This part of the data release presents topography data from northern Monterey Bay, California collected in October 2014. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks and

Nearshore bathymetry data from northern Monterey Bay, California, March 2015

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in March 2015 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite s

Terrestrial lidar data from northern Monterey Bay, California, March 2015

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2015 with a terrestrial lidar scanner.

Topography data from northern Monterey Bay, California, March 2015

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2015. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks and wi

Nearshore bathymetry data from northern Monterey Bay, California, September and October 2015

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in September and October 2015 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global naviga

Terrestrial lidar data from northern Monterey Bay, California, September 2015

This part of the data release presents topography data from northern Monterey Bay, California collected in September 2015 with a terrestrial lidar scanner.

Topography data from northern Monterey Bay, California, September and October 2015

This part of the data release presents topography data from northern Monterey Bay, California collected in September and October 2015. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on

Nearshore bathymetry data from northern Monterey Bay, California, March 2016

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in March 2016 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite s

Terrestrial lidar data from northern Monterey Bay, California, March 2016

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2016 with a terrestrial lidar scanner.

Topography data from northern Monterey Bay, California, March 2016

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2016. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks and wi

Terrestrial lidar data from northern Monterey Bay, California, October 2016

This part of the data release presents topography data from northern Monterey Bay, California collected in October 2016 with a terrestrial lidar scanner.

Nearshore bathymetry data from northern Monterey Bay, California, September 2016

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in September 2016 using a personal watercraft (PWC) and small boat. The survey vessels were equipped with single-beam echosounders and survey-grade glo

Topography data from northern Monterey Bay, California, September 2016

This part of the data release presents topography data from northern Monterey Bay, California collected in September 2016. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks an

Nearshore bathymetry data from northern Monterey Bay, California, March 2017

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in March 2017 using personal watercraft (PWC). The survey vessels were equipped with single-beam echosounders and survey-grade global navigation satell

Terrestrial lidar data from northern Monterey Bay, California, March 2017

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2017 with a terrestrial lidar scanner.

Topography data from northern Monterey Bay, California, March 2017

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2017. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks and wi

Nearshore bathymetry data from northern Monterey Bay, California, September 2017

This part of the data release presents bathymetry data from northern Monterey Bay, California collected in September 2017 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satelli

Terrestrial lidar data from northern Monterey Bay, California, September 2017

This part of the data release presents topography data from northern Monterey Bay, California collected in September 2017 with a terrestrial lidar scanner.

Topography data from northern Monterey Bay, California, September 2017

This part of the data release presents topography data from northern Monterey Bay, California collected in September 2017. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks an

MONT95C - Bathymetry contours of the southern Monterey Bay area between Moss Landing and Monterey, California

The bathymetric grids and derived contours are from data collected by the USGS with a multibeam (Simrad EM1000) sidescan sonar system in the southern Monterey Bay between Moss Landing and Monterey, California in 1995 (P1-95-MB, http://walrus.wr.usgs.gov/i

NOSBATC - bathymetric contour data for the Monterey Bay region from Point Ano Nuevo to Point Sur, California based on NOAA/NOS data (UTM)

This dataset contains bathymetric data as contours for the the greater Monterey Bay area between Point Ano Nuevo to the north and Point Sur to the south. NOSBATC are bathymetric contours at 10-m intervals to a depth of 200 m and 100-m intervals to maximum

Projected flood water depths on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands

Projected future wave-driven flooding depths on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands for a range of climate-change scenarios. This study utilized field data to calibrate oceanographic and hydrogeologic models, which

April 2015 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = MLLW, all units in meters. The surveys extend east from Calaveras Point along Coy

April 2015 bathymetry (NAVD88) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = NAVD88, all units in meters. The surveys extend east from Calaveras Point along C

April 2015 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters. The surveys extend east from Calave

April 2016 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = MLLW, all units in meters. The surveys extend east from Calaveras Point along Coy

April 2016 bathymetry (NAVD88) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = NAVD88, all units in meters. The surveys extend east from Calaveras Point along C

April 2016 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters. The surveys extend east from Calave

Topographic measurements of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015, using backpack GPS

Topographic data were collected by the U.S. Geological Survey (USGS) in 2015 for Little Holland Tract in the Sacramento-San Joaquin River Delta, California. The data were collected on foot using a global positioning system (GPS) backpack platform that con

Bathymetric measurements of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015, from personal watercraft

Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2015 for Little Holland Tract in the Sacramento-San Joaquin River Delta, California. The data were collected using a personal watercraft (PWC) platform that consisted of Trimble R7 Gl

March 2017 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in March 2017. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = MLLW, all units in meters. The surveys extend east from Calaveras Point along Coy

March 2017 bathymetry (NAVD88) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in March 2017. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = NAVD88, all units in meters. The surveys extend east from Calaveras Point along C

March 2017 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in March 2017. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters. The surveys extend east from Calave

October 2015 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = MLLW, all units in meters. The surveys extend east from Calaveras Point along C

October 2015 bathymetry (NAVD88) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = NAVD88, all units in meters. The surveys extend east from Calaveras Point along

October 2015 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2015. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters. The surveys extend east from Cala

October 2016 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = MLLW, all units in meters. The surveys extend east from Calaveras Point along C

October 2016 bathymetry (NAVD88) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical Datum = NAVD88, all units in meters. The surveys extend east from Calaveras Point along

October 2016 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in October 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters. The surveys extend east from Cala

Standard Deviation of the bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011

This part of the data release contains a grid of standard deviations of bathymetric soundings within each 0.5 m x 0.5 m grid cell. The bathymetry was collected on February 1, 2011, in the Sacramento River from the confluence of the Feather River to Knigh

Acoustic Backscatter of the Sacramento River, from the Feather River to Knights Landing, California in February 2011

This part of the data release presents acoustic backscatter data collected on February 1, 2011, in the Sacramento River from the confluence of the Feather River to Knights Landing. The data were collected by the USGS Pacific Coastal and Marine Science Cen

Bathymetric DEM of the Sacramento River, from the Feather River to Knights Landing, California in February 2011

This part of the data release presents a digital elevation model (DEM) created from bathymetry data collected on February 1, 2011, in the Sacramento River from the confluence of the Feather River to Knights Landing. The data were collected by the USGS Pac

Arc ASCII and GeoTiff DEMs of the North-Central California Coast (DEM_#_ASCII and DEM_#_GeoTIFF)

A seamless, 2 meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central California coastl

Coverage Polygons for DEMs of the North-Central California Coast (DEM_coverage_areas.shp)

A GIS polygon shapefile outlining the extent of the 14 individual DEM sections that crompise the seamless, 2-meter resolution DEM for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to

Input Data Boundary Outlines for DEMs of the North-Central California Coast (DEM_source_data.shp)

A GIS polygon shapefile outlining the boundaries of the native input datasets used to construct a seamless, 2-meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gat

Bathymetry and acoustic backscatter of Crater Lake, Oregon from Field Activity: S-1-00-OR

ArcInfo GRID format data generated from the 2000 multibeam sonar survey of Crater Lake, Oregon. The data include high-resolution bathymetry and calibrated acoustic backscatter. Data are also available as ASCII xyz format (see data download page of https:/

NORCAL1928_1936 - Vectorized Shoreline of Northern California Derived from 1928-1936 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline dat

NORCAL1952_1971 - Vectorized Shoreline of Northern California Derived from 1952-1971 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

CENCAL1853_1910 - Vectorized Shoreline of Central California Derived from 1853-1910 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

CENCAL1929_1942 - Vectorized Shoreline of Central Califonia Derived from 1929-1942 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

CENCAL1945_1976 - Vectorized Shoreline of Central California Derived from 1945-1976 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

CENCAL_1998_2002 - Vectorized Shoreline of Central California Derived from 1998-2002 Lidar Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

NORCAL1854_1880 - Vectorized Shoreline of Northern California from 1854-1880 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

NORCAL2002 - Vectorized Shoreline of Northern California Derived from 2002 Lidar Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

SOCAL1852_1889 - Vectorized Shoreline of Southern California Derived from 1852-1889 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

SOCAL1920_1934 - Vectorized Shoreline of Southern California Derived from 1920-1934 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

SOCAL_1971_1976 - Vectorized Shoreline of Southern California Derived from 1971-1976 Source Data

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing

CNTR10M - 10 meter bathymetric contours of the Channel Islands National Marine Sanctuary and Santa Barbara Bay. (UTM 10N, NAD83)

Data layer containing 10 meter bathymetric contours for the Channel Islands National Marine Sanctuary and Santa Barbara Bay. Data are derived from 1:250,000-scale National Oceanic and Atmospheric Administration (NOAA) charts and Monterey Bay Aquarium Res

ArcInfo GRID format of the 2004 Multibeam Bathymetry Data in the Northeastern Channel Islands Region, Southern California [bathy.zip]

ArcInfo GRID format data generated from the 2004 multibeam sonar survey of the Northeastern Channel Islands, CA Region. The data include high- resolution bathymetry.

Bathymetry, topography, and sediment grain-size data from the Elwha River delta, Washington

This data release contains bathymetry and topography data from surveys performed on the Elwha River delta between 2010 and 2016. Sediment grain-size data are available for selected surveys performed after May 2012. This data release will be updated as add

Nearshore bathymetry data from the Elwha River delta, Washington, September 2010

This part of the data release presents bathymetry data from the Elwha River delta collected in September 2010 using a personal watercraft (PWC) and a small boat. Both survey vessels were equipped with single-beam echosounders and survey-grade global navig

Topography data from the Elwha River delta, Washington, September 2010

This part of the data release presents topography data from the Elwha River delta collected in September 2010. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, August 2011, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in August 2011 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS

Topography data from the Elwha River delta, Washington, August 2011

This part of the data release presents topography data from the Elwha River delta collected in August 2011. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, May 2011, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in May 2011 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS) r

Topography data from the Elwha River delta, Washington, May 2011

This part of the data release presents topography data from the Elwha River delta collected in May 2011. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, August 2012

This part of the data release presents bathymetry data from the Elwha River delta collected in August 2012 using a personal watercraft (PWC) and the R/V Frontier. Both survey vessels were equipped with single-beam echosounders and survey-grade global navi

Topography data from the Elwha River delta, Washington, August 2012

This part of the data release presents topography data from the Elwha River delta collected in August 2012. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, May 2012, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in May 2012 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS) r

Topography data from the Elwha River delta, Washington, May 2012

This part of the data release presents topography data from the Elwha River delta collected in May 2012. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, March 2013, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in March 2013 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS)

Topography data from the Elwha River delta, Washington, March 2013

This part of the data release presents topography data from the Elwha River delta collected in March 2013. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, September 2013, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in September 2013 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (G

Topography data from the Elwha River delta, Washington, September 2013

This part of the data release presents topography data from the Elwha River delta collected in September 2013. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, April 2014, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in April 2014 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS)

Topography data from the Elwha River delta, Washington, April 2014

This part of the data release presents topography data from the Elwha River delta collected in April 2014. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, September 2014, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in September 2014 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (G

Topography data from the Elwha River delta, Washington, September 2014

This part of the data release presents topography data from the Elwha River delta collected in September 2014. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, January 2015, collected from kayak

This part of the data release presents bathymetry data from the Elwha River delta collected in January 2015 using a kayak. The kayak was equipped with a single-beam echosounder and a survey-grade global navigation satellite system (GNSS) receiver.

Nearshore bathymetry data from the Elwha River delta, Washington, January 2015, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in January 2015 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GNS

Topography data from the Elwha River delta, Washington, January 2015

This part of the data release presents topography data from the Elwha River delta collected in January 2015. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, July 2015, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in July 2015 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite systems (GNSS)

Topography data from the Elwha River delta, Washington, July 2015

This part of the data release presents topography data from the Elwha River delta collected in July 2015. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, February 2016, collected from kayak

This part of the data release presents bathymetry data from the Elwha River delta collected in February 2016 using a kayak. The kayak was equipped with a single-beam echosounder and a survey-grade global navigation satellite system (GNSS) receiver.

Nearshore bathymetry data from the Elwha River delta, Washington, February 2016, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in February 2016 using two personal watercraft (PWCs). The PWCs were equipped with single-beam echosounders and survey-grade global navigation satellite system (GN

Topography data from the Elwha River delta, Washington, February 2016

This part of the data release presents topography data from the Elwha River delta collected in February 2016. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

Nearshore bathymetry data from the Elwha River delta, Washington, July 2016, collected from kayak

This part of the data release presents bathymetry data from the Elwha River delta collected in July 2016 using a kayak. The kayak was equipped with a single-beam echosounder and a survey-grade global navigation satellite system (GNSS) receiver.

Nearshore bathymetry data from the Elwha River delta, Washington, July 2016, collected from personal watercraft

This part of the data release presents bathymetry data from the Elwha River delta collected in July 2016 using two personal watercraft (PWCs). The PWCs were equipped with single beam echosounders and survey-grade global navigation satellite system (GNSS)

Topography data from the Elwha River delta, Washington, July 2016

This part of the data release presents topography data from the Elwha River delta collected in July 2016. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.

DUBATHG - ArcInfo GRID format of the 2001 multibeam echo-sounder data collected in the Duwamish River Delta, Puget Sound (Seattle), Washington from Field Activity: R-1-01-WA

ArcInfo GRID format bathymetry data generated from the 2001 multibeam sonar survey the major deltas of southern Puget Sound, WA., including Nisqually, Puyallup, and Duwamish Deltas. This is meatadata for the Duwamish Delta multibeam bathymetry data.

NIBATHG - ArcInfo GRID format of the 2001 multibeam echo-sounder data collected in the Nisqually Delta, Puget Sound, Washington from Field Activity: R-1-01-WA

ArcInfo GRID format bathymetry data generated from the 2001 multibeam sonar survey the major deltas of southern Puget Sound, WA., including Nisqually, Puyallup, and Duwamish Deltas. This is meatadata for the Nisqually Delta multibeam bathymetry data.

PUBATHG - ArcInfo GRID format of the 2001 multibeam echo-sounder data collected in the Puyallup River delta, Puget Sound (Tacoma), Washington from Field Activity: R-1-01-WA

ArcInfo GRID format bathymetry data generated from the 2001 multibeam sonar survey the major deltas of southern Puget Sound (Tacoma), WA., including Nisqually, Puyallup, and Duwamish Deltas. This is metadata for the Puyallup Delta multibeam bathymetry dat

2000 USACE Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2001 USACE Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2001 Gulf Coast USGS/NASA ATM Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2002 Post-Tropical Storm Fay University of Texas Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2002 NOAA/NASA/USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2003 NOAA Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2003 Pre- and Post-Hurricane Isabel USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 Pre-Hurricane Ivan Eastern Gulf Coast United States Army Corps of Engineers (USACE) Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 USACE Post-Ivan Florida Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 Post-Hurricane Charley West Florida EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 Post-Hurricane Frances USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 Post-Hurricane Ivan Northern Gulf of Mexico EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2004 Post-Hurricane Jeanne USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2005 Post-Hurricane Dennis Florida U.S. Army Corps of Engineers Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2005-2006 Atlantic Coast USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2005 Post-Hurricane Katrina EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2005 USGS Post-Hurricane Rita Texas and Louisiana Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2005 Padre Island USGS EAARL Lidar-derived dune crest, toe and shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

September 2006 Post-Hurricane Wilma Florida U.S. Army Corps of Engineers Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2006 FEMA Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

EAARL Coastal Topography-Louisiana, Mississippi and Alabama, March 2006: First Return

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

EAARL Coastal Topography-Louisiana, Mississippi and Alabama, March 2006: Last Return

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

March 2006 Mississippi and Alabama USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

EAARL Coastal Topography--Louisiana, Mississippi and Alabama September 2006: First Return

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

EAARL Coastal Topography--Louisiana, Mississippi and Alabama September 2006: Last Return

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

September 2006 Mississippi and Alabama USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2007 Northeast Barrier Islands USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

September 2007 Southwest Florida Division of Emergency Management Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2007 South Florida FDEM Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2007 USACE Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

September 2007 Northern Gulf of Mexico USGS EAARL Lidar-derived dune crest, toe and shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

EAARL Coastal Topography-Louisiana, Alabama, and Florida, June 2008

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

EAARL Coastal Topography-Louisiana, Alabama, and Florida, June 2008

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administrati

June 2008 Alabama and Florida USGS EAARL Lidar-derived dune crest, toe and shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2008 Post-Hurricane Gustav Northern Gulf of Mexico USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2008 USGS Post-Hurricane Ike Texas Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2008 South Louisiana USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2008 Assateague Island USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2009 Cape Canaveral USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2009 North Carolina USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2009 Florida USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2009 Western Gulf of Mexico USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2009 Post-Nor’Ida USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Northeast Atlantic USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Alabama and Florida USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Southeast Atlantic USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Florida West Coast USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Virginia USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 New York USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 New Jersey USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Delaware USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Maryland USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Louisiana and Mississippi USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2010 Assateague Island National Seashore USGS EAARL Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Interferometric Swath Bathymetry Survey Tracklines Collected in 2011 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 11BIM01)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011.

5-Meter Sample Resolution Interferometric Swath Bathymetric Data Collected in 2011 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 11BIM01)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011.

Single-Beam Bathymetry Survey Tracklines Collected in 2011 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 11BIM02)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011.

Single-Beam Bathymetric Data Collected in 2011 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 11BIM02)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2011.

2011 Northern Gulf Coast USACE Lidar-derived dune crest, toe and shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Interferometric Swath Bathymetry Survey Tracklines Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM03)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2012

Interferometric Swath Bathymetric Data Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM03)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in July of 2012

1-Meter Sample Resolution Interferometric Swath Backscatter Data Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM03)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2012

Single-Beam Bathymetry Survey Tracklines Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM04)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in June of 2012

Single-Beam Bathymetric Data Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM04)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in July of 2012

2012 Post-Hurricane Isaac USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2012 Post-Hurricane Sandy Fire Island, New York Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2012 Post-Hurricane Sandy Northeast Atlantic Coast USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic featur

2012 Post-Hurricane Sandy Long Island, New York USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2012 Pre-Hurricane Sandy Fire Island National Seashore, USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2012 Post-Hurricane Sandy New Jersey USGS EAARL-B Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Archive of Single-Beam Bathymetry Data Collected from Select Areas in Weeks Bay and Weeks Bayou, Southwest Louisiana, January 2013

A team of scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center (SPCMSC), collected 92-line-kilometers (km) of dual-frequency single-beam bathymetry data in the tidal creeks, bayous, and coastal areas near Wee

13CCT04_IFS_01_ITRF05.tif

In August of 2013, the U.S. Geological Survey (USGS) conducted geophysical surveys offshore of Petit Bois Island, Mississippi. These efforts are a continued part of the U.S. Geological Survey Gulf of Mexico Science Coordination partnership with the U.S. A

13CCT04_SSS_01_ITRF05.tif

In August of 2013, the U.S. Geological Survey (USGS) conducted geophysical surveys offshore of Petit Bois Island, Mississippi. These efforts are a continued part of the U.S. Geological Survey Gulf of Mexico Science Coordination partnership with the U.S. A

Archive of Side Scan Sonar and Swath Bathymetry Data Collected During USGS Cruise 13CCT04 Offshore of Petit Bois Island, Gulf Islands National Seashore, Mississippi, August 2014

In August of 2013, the U.S. Geological Survey (USGS) conducted geophysical surveys offshore of Petit Bois Island, Mississippi. These efforts are a continued part of the U.S. Geological Survey Gulf of Mexico Science Coordination partnership with the U.S. A

2013 Dauphin Island USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2013-2014 Northeast USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2013 NOAA Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2013 USACE Oahu Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

14BIM01_IFB_xyz: Interferometric Swath Bathymetry XYZ Data Collected in 2014 Near Breton Island, Louisiana

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM02_SBB_xyz: Single-Beam Bathymetry XYZ Data Collected in 2014 Near Breton Island, Louisiana

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM03_SBB_xyz: Single-Beam Bathymetry XYZ Data Collected in 2014 Near Breton Island, Louisiana

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM05_IFB_xyz: Interferometric Swath Bathymetry XYZ Data Collected in 2014 Near Breton Island, Louisiana

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM05_SSS_50cm_WGS84_UTM16N_Tile1: The 0.50-meter sample resolution of the side-scan sonar data collected in 2014 near Breton National Wildlife Refuge, Louisiana. This tile is one of four for this dataset.

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM05_SSS_50cm_WGS84_UTM16N_Tile2: The 0.50-meter sample resolution of the side-scan sonar data collected in 2014 near Breton National Wildlife Refuge, Louisiana. This is tile two of four for this dataset.

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM05_SSS_50cm_WGS84_UTM16N_Tile3: The 0.50-meter sample resolution of the side-scan sonar data collected in 2014 near Breton National Wildlife Refuge, Louisiana. This tile is three of four for this dataset.

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

14BIM05_SSS_50cm_WGS84_UTM16N_Tile4: The 0.50-meter sample resolution of the side-scan sonar data collected in 2014 near Breton National Wildlife Refuge, Louisiana. This is tile four of four for this dataset.

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 20

2014 Post-Hurricane Sandy SC to NY NOAA NGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

The Sedimentological Characteristics and Radiochemistry Data for the Marshes on Dauphin Island, Alabama (U.S. Geological Survey Field Activity Number 2015-322-FA)

This project is a collaborative effort between the U.S. Geological Survey (USGS), U.S. Army Corps of Engineers (USACE), and the state of Alabama funded by the National Fish and Wildlife Foundation (NFWF) to investigate viable, sustainable restoration opti

2015 Mississippi and Alabama USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2015 USACE Florida Gulf Coast Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2016 USACE Post-Hurricane Matthew Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Historical bathymetry soundings between 1916 and 1920 around the Mississippi and Alabama barrier islands

In order to characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi and

Bathymetric change map of the nearshore around Ship, Horn, and Petit Bois islands, Mississippi: 1916-1920 to 2008-2009

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Beach Topography—Fire Island, New York, Pre-Hurricane Sandy, January 2012: Ground Based Lidar (ASCII XYZ Point Data)

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, North Carolina collaborated to gather alongshore ground-based lidar beach topograph

Single-Beam Bathymetry Sounding Data of Cape Canaveral, Florida, (2014) gridded in ESRI GRID format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Single-Beam Bathymetry Sounding Data of Cape Canaveral, Florida, (2014) gridded in ESRI ASCII GRID format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Lidar Bathymetry Data of Cape Canaveral, Florida, (2014) in XYZ ASCII text file format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Bathymetric Data collected with Backpack and Wheel-mounted GPS within and around the Wilderness Breach, Fire Island, New York, (2014) in XYZ ASCII Text File Format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Ground-Based Bathymetric Data Collected within Bellport Bay, New York, (2014) in XYZ ASCII Text File Format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Ground-Based Bathymetric Data Collected along the Shoreface of Fire Island, New York, (2014) in XYZ ASCII Text File Format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Ground-Based Bathymetric Data Collected within the Wilderness Breach, Fire Island, New York, (2014) in XYZ ASCII Text File Format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Fire Island Shoreface Bathymetric Data collected with Personal Watercraft and Backpack along Fire Island, New York (2014) as a GeoTIFF

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft around Fire Island, New York (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Bathymetric Data collected with Personal Watercraft within Bellport Bay, New York, (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft collected within Fire Island Inlet, New York (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft collected within Great South Bay, New York (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft collected within Narrow Bay, New York (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft collected along the Fire Island, New York shoreface (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetric Data collected with Personal Watercraft collected within Wilderness Breach, Fire Island, New York (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

The Fire Island Wilderness Breach Bathymetric Data collected with Personal Watercraft and Backpack in Fire Island, New York (2014) as a GeoTIFF

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-H

Single-Beam Bathymetry XYZ Data Collected in 2015 from Grand Bay, Alabama/Mississippi

As part of the Sea level and Storm Impacts on Estuarine Environments and Shorelines project (SSIEES), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the e

Single Beam Bathymetry XYZ Data Collected in June 2015 from the Chandeleur Islands, Louisiana

As part of the Louisiana Coastal Protection and Restoration Authority (CPRA) Barrier Island Comprehensive Monitoring (BICM) Program, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single beam

Single Beam Bathymetry XYZ Data Collected in July 2015 from Point Au Fer to Raccoon Point, Louisiana

As part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the south-central coast of

Terrestrial-Based Lidar Beach Topography of Fire Island, New York, May 2015

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collected terrestrial-based light detection and ranging (T-lidar) elevat

Terrestrial-Based Lidar Beach Topography of Fire Island, New York, May 2015

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collected terrestrial-based light detection and ranging (T-lidar) elevat

Single-Beam XYZ Point Coastal Bathymetry Data Collected in May 2015 from Fire Island, New York, from the Wilderness Breach and Shoreface

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Single-Beam XYZ Point Coastal Bathymetry Data Collected in May 2015 From Fire Island, New York, Along the Shoreface

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Single-Beam XYZ Point Coastal Bathymetry Data Collected in May 2015 From Fire Island, New York, From the Wilderness Breach

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurri

Coastal Interferometric Swath Bathymetry Data Collected in 2015 from the Chandeleur Islands, Louisiana: 2015_Chand_IFB_5m_NAD83_NAVD88_GEOID09_DEM

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), collected swath bathymetry data offshore of the Northern Chandeleur Islands, Louisiana in September 2015. This USGS Data Release includes the resulting processed e

Coastal Interferometric Swath Bathymetry Data Collected in 2015 from the Chandeleur Islands, Louisiana: 2015_Chand_IFB_5m_NAD83_NAVD88_GEOID09_XYZ

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), collected swath bathymetry data offshore of the Northern Chandeleur Islands, Louisiana in September 2015. This USGS Data Release includes the resulting processed e

Coastal Interferometric Swath Bathymetry Data Collected in 2015 from the Chandeleur Islands, Louisiana: 2015_Chand_IFB_5m_WGS84_XYZ

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), collected swath bathymetry data offshore of the Northern Chandeleur Islands, Louisiana in September 2015. This USGS Data Release includes the resulting processed e

Edited 2015 shoreline shapefile for Ship, Horn, Petit Bois, Mississippi

The 2015 Mississippi coastal shorelines were originally extracted from 2015 Landsat imagery and published within United States Geological Survey (USGS) Open-File Report (OFR) 2015-1179 (https://doi.org/10.3133/ofr20151179). Shoreline files for Ship, Horn,

2016 Florida East Coast USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

2016 USACE Gulf Coast Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

Bathymetric change map of the nearshore around Ship, Horn, and Petit Bois islands, Mississippi: 1916-1920 to 2016

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Bathymetric change map of the nearshore around Ship, Horn, and Petit Bois islands, Mississippi: 2008-2009 to 2016

To characterize coastal change, historical maps and complementary records were compiled including: topographic sheets (T-sheets), hydrographic sheets (H-sheets, smooth sheets), shorelines, and bathymetric soundings surrounding the Mississippi (MS) barrier

Beach Profile Data Collected From Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Position

1998 Fall Gulf Coast Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

1999 Fall Texas USGS/NASA/NOAA ATM Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such

Coastal Topography—Anegada, British Virgin Islands, 2014

A digital elevation model (DEM) mosaic was produced for Anegada, British Virgin Islands, from remotely sensed, geographically referenced elevation measurements collected by Watershed Sciences, Inc. (WSI)/Quantum Spatial using an Optech Orion M300 (1064-nm

Coastal Topography—Anegada, British Virgin Islands, 2014

ASCII XYZ point cloud data for a portion of the environs of Anegada, British Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected March 19-20, 2014 by the U.S. Geological Survey. Elevation measureme

Coastal Topography—Anegada, British Virgin Islands, 2014

A seamless (bare earth and submerged) topography Digital Elevation Model (DEM) mosaic for a portion of the submerged environs of Anegada, British Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2002: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Ass

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2002: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Ass

EAARL Coastal Topography--Northern Assateague Island National Seashore, Maryland and Virginia, 2003: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over nor

EAARL Coastal Topography--Northern Assateague Island National Seashore, Maryland and Virginia, 2003: Bare Earth

A bare-earth topography Digital Elevation Model (DEM) mosaic for the northern half of Assateague Island National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Sur

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Ass

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2005: Bare Earth

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Assateague Island National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and th

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2005: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Ass

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2005: First Surface

A first-surface topography Digital Elevation Model (DEM) mosaic for the Assateague Island National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and

Coastal Topography—Assateague Island, Maryland and Virginia, Post-Hurricane Joaquin, 26 November 2015

Binary point-cloud data were produced for Assateague Island, Maryland and Virginia, post-Hurricane Joaquin, from remotely sensed, geographically referenced elevation measurements collected by Quantum Spatial using a Leica ALS70 (1064-nm wavelength) lidar

Coastal Topography—Assateague Island, Maryland and Virginia, Post-Hurricane Joaquin, 26 November 2015

A digital elevation model (DEM) mosaic was produced for Assateague Island, Maryland and Virginia, post-Hurricane Joaquin, from remotely sensed, geographically referenced elevation measurements collected by Quantum Spatial using a Leica ALS70 (1064-nm wave

Coastal Topography—Assateague Island, Maryland and Virginia, Post-Hurricane Hermine, 10-12 September 2016

Binary point-cloud data were produced for Assateague Island, Maryland and Virginia, post-Hurricane Hermine, from remotely sensed, geographically referenced elevation measurements collected by Quantum Spatial using a Riegl VQ-880-G (532-nm wavelength circu

Coastal Topography—Assateague Island, Maryland and Virginia, Post-Hurricane Hermine, 10-12 September 2016

A digital elevation model (DEM) mosaic was produced for Assateague Island, Maryland and Virginia, post-Hurricane Hermine, from remotely sensed, geographically referenced elevation measurements collected by Quantum Spatial using a Riegl VQ-880-G (532-nm wa

Aerial_Shorelines_1940_2015.shp - Dauphin Island, Alabama Shoreline Data Derived from Aerial Imagery from 1940 to 2015

Aerial_WDL_Shorelines.zip features digitized historic shorelines for the Dauphin Island coastline from October 1940 to November 2015. This dataset contains 10 Wet Dry Line (WDL) shorelines separated into 58 shoreline segments alongshore Dauphin Island, A

EAARL-B Topography-Big Thicket National Preserve: Beaumont and Lower Neches River Units, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Beaumont and Lower Neches River Units of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January

EAARL-B Topography-Big Thicket National Preserve: Beaumont and Lower Neches River Units, Texas, 2014

A first-surface topography Digital Elevation Model (DEM) mosaic for the Beaumont and Lower Neches River Units of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on Janua

EAARL-B Topography-Big Thicket National Preserve: Big Sandy Creek Corridor Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Big Sandy Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 2

EAARL-B Topography-Big Thicket National Preserve: Big Sandy Creek Corridor Unit, Texas, 2014

A first-surface topography Digital Elevation Model (DEM) mosaic for the Big Sandy Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21

EAARL-B Topography-Big Thicket National Preserve: Big Sandy Creek Unit, Texas, 2014

A bare-earth topography digital elevation model (DEM) mosaic for the Big Sandy Creek Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, and 3

EAARL-B Topography-Big Thicket National Preserve: Big Sandy Creek Unit, Texas, 2014

A first-surface topography digital elevation model (DEM) mosaic for the Big Sandy Creek Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, an

EAARL-B Topography—Big Thicket National Preserve: Canyonlands and Upper Neches River Corridor Units, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Canyonlands and Upper Neches River Corridor Units of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected

EAARL-B Topography—Big Thicket National Preserve: Canyonlands and Upper Neches River Corridor Units, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Canyonlands and Upper Neches River Corridor Units of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected

EAARL-B Topography-Big Thicket National Preserve: Lance Rosier Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Lance Rosier Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 15, 21, 22, 25, 26,

EAARL-B Topography-Big Thicket National Preserve: Lance Rosier Unit, Texas, 2014

A first-surface topography Digital Elevation Model (DEM) mosaic for the Lance Rosier Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 15, 21, 22, 25, 2

EAARL-B Topography—Big Thicket National Preserve: Little Pine Island Bayou Corridor Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Little Pine Island Bayou Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January

EAARL-B Topography—Big Thicket National Preserve: Little Pine Island Bayou Corridor Unit, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Little Pine Island Bayou Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January

EAARL-B Topography-Big Thicket National Preserve: Lower Neches River Corridor Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Lower Neches River Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 11, 15

EAARL-B Topography-Big Thicket National Preserve: Lower Neches River Corridor Unit, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Lower Neches River Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 11, 1

EAARL-B Topography-Big Thicket National Preserve: Menard Creek Corridor Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Menard Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 21 and 22, 2014 by

EAARL-B Topography-Big Thicket National Preserve: Menard Creek Corridor Unit, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Menard Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 21 and 22, 2014 b

EAARL-B Topography-Big Thicket National Preserve: Neches Bottom and Jack Lore Baygall Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Neches Bottom and Jack Lore Baygall Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on Janua

EAARL-B Topography-Big Thicket National Preserve: Neches Bottom and Jack Lore Baygall Unit, Texas, 2014

A first-surface topography Digital Elevation Model (DEM) mosaic for the Neches Bottom and Jack Lore Baygall Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on Ja

EAARL-B Topography-Big Thicket National Preserve: Turkey Creek Unit, Texas, 2014

A bare-earth topography digital elevation model (DEM) mosaic for the Turkey Creek Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, 25, 26,

EAARL-B Topography-Big Thicket National Preserve: Turkey Creek Unit, Texas, 2014

A first-surface topography digital elevation model (DEM) mosaic for the Turkey Creek Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, 25, 2

EAARL-B Topography-Big Thicket National Preserve: Village Creek Corridor Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Village Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22,

EAARL-B Topography—Big Thicket National Preserve: Village Creek Corridor Unit, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Village Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22

EAARL Coastal Topography--Dauphin Island, Alabama, 2010: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over Dauphin Island, post-Tropical Storm Bonnie (July 2010 tropical

EAARL Coastal Topography--Dauphin Island, Alabama, 2010: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over Dauphin Island, post-Tropical Storm Bonnie (July 2010 tropical

Topobathymetric Lidar Survey of Breton and Gosier Islands, Louisiana, January 16 and 18, 2014

This dataset contains binary point-cloud data, produced from remotely sensed, geographically referenced topobathymetric measurements collected by Photo Science, Inc., encompassing the Breton and Gosier Island, LA study areas. The original area of interest

1869 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

1869 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service (NOS) raster shoreline maps (often called T-sheet or TP-sheet maps) created for Breton Islan

1922 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

1922 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service (NOS) raster shoreline maps (often called T-sheet or TP-sheet maps) created for Breton Islan

1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service (NOS) raster shoreline maps (often called T-sheet or TP-sheet maps) created for Breton Islan

1983 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the National High Altitude Photography (NHAP) program. The NHAP was coordinated by the U.S. Geological Survey as an interagency project to acquire cloud-free aerial photographs at a specific altitude above mean terrain elevati

1998 Digitized Shoreline for Breton Island, Louisiana(Geographic, NAD83)

Shorelines were derived from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center's Digital Orthophoto Quarter Quads (DOQQ) images collected on January 24, 1998. This dataset contains digitized shorelines created from the USGS

2001 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

A first-surface elevation map was produced cooperatively from remotely sensed, geographically referenced elevation measurements collected by the U.S. Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) on September 07-09, 200

2004 Digitized Shoreline for Breton Island, Louisiana(Geographic, NAD83)

Shorelines were derived from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center’s Digital Orthophoto Quarter Quads (DOQQ) images collected on January 20, 2004. This dataset contains digitized shorelines created from the USG

2005 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center’s Digital Orthophoto Quadrangle (DOQ) images collected on November 17, 2005. This dataset contains digitized shorelines created from the USGS i

2007 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the National Agriculture Imagery Program (NAIP) digital ortho imagery collected on October 11, 2007. This dataset contains digitized shorelines created from the NAIP imagery for Breton Island, Louisiana. Shorelines were digiti

2008 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center high-resolution orthorectified images collected on October 01, 2008. This dataset contains digitized shorelines created from the USGS imagery for

2010 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the National Agriculture Imagery Program (NAIP) digital ortho imagery collected on May 10, 2010. This dataset contains digitized shorelines created from the NAIP imagery for Breton Island, Louisiana. Shorelines were digitized

2012 Digitized Shoreline for Breton Island, Louisiana(Geographic, NAD83)

Shorelines were derived from a U.S. Geological Survey Earth Resources Observations and Science Center (EROS) high-resolution orthorectified image that was collected on October 20, 2012 over Breton Island, Louisiana. Shorelines were digitized in ArcMap 10.

2013 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from a U.S. Geological Survey topographic lidar survey that was conducted on July 12-14, 2013 over Dauphin Island, Alabama and Chandeleur, Stake, Grand Gosier and Breton Islands, Louisiana and published in USGS Data Series 838. Ph

Topobathymetric Lidar Survey of Breton and Gosier Islands, Louisiana, January 16 and 18, 2014

This dataset contains binary point-cloud data and a Digital Elevation Model (DEM), produced from remotely sensed, geographically referenced topobathymetric measurements collected by Photo Science, Inc., encompassing the Breton Island, LA study area. The o

2014 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from a U.S. Geological Survey topographic lidar survey that was conducted on January 16-18, 2014 over Breton Island, Louisiana and released under USGS field activity number 14LGC01. Quantum Spatial was contracted by the USGS to col

EAARL Coastal Topography--Cape Cod National Seashore, Massachusetts, 2002: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Cap

EAARL Coastal Topography--Cape Cod National Seashore, Massachusetts, 2002: Bare Earth

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Cape Cod National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the Nationa

EAARL Coastal Topography--Cape Cod National Seashore, Massachusetts, 2002: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Cap

EAARL Coastal Topography--Cape Cod National Seashore, Massachusetts, 2002: First Surface

A first-surface topography Digital Elevation Model (DEM) mosaic for the Cape Cod National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the Nati

EAARL Coastal Topography—Cape Hatteras, North Carolina, Pre- and Post-Hurricane Isabel, 2003

ASCII XYZ data for Cape Hatteras, North Carolina, were produced from remotely sensed, geographically referenced elevation measurements collected post-Hurricane Isabel on September 21, 2003 by the U.S. Geological Survey, in cooperation with the National Ae

EAARL Coastal Topography—Cape Hatteras, North Carolina, Pre- and Post-Hurricane Isabel, 2003

ASCII XYZ data for Cape Hatteras, North Carolina, were produced from remotely sensed, geographically referenced elevation measurements collected pre-Hurricane Isabel on September 16, 2003 by the U.S. Geological Survey, in cooperation with the National Aer

EAARL Coastal Topography—Chandeleur Islands, Louisiana, 4-5 September 2010: Seamless (Bare Earth and Submerged)

ASCII XYZ point-cloud data for the Chandeleur Islands in Louisiana were produced from remotely sensed, geographically referenced elevation measurements collected on September 4 and 5, 2010 by the U.S. Geological Survey. Elevation measurements were collect

EAARL Coastal Topography—Chandeleur Islands, Louisiana, 12-13 February 2011: Seamless (Bare Earth and Submerged)

ASCII XYZ point-cloud data for the Chandeleur Islands in Louisiana were produced from remotely sensed, geographically referenced elevation measurements collected on February 12 and 13, 2011 by the U.S. Geological Survey. Elevation measurements were collec

Coastal Topography—Chandeleur Islands, Louisiana, 23-25 June 2016

Binary point-cloud data were produced for the Chandeleur Islands, Louisiana, from remotely sensed, geographically referenced elevation measurements collected by Leading Edge Geomatics (LEG) using a Leica Chiroptera II Bathymetric and Topographic Sensor. D

Coastal Topography—Chandeleur Islands, Louisiana, 23-25 June 2016

A digital elevation model (DEM) mosaic was produced for the Chandeleur Islands, Louisiana, from remotely sensed, geographically referenced elevation measurements collected by Leading Edge Geomatics (LEG) using a Leica Chiroptera II Bathymetric and Topogra

EAARL-B Submerged Topography—Crocker Reef, Florida, 2014

ASCII XYZ point cloud data for a portion of the submerged environs of Crocker Reef, Florida, were produced from remotely sensed, geographically referenced elevation measurements collected on April 13 and 22, 2014 by the U.S. Geological Survey. Elevation m

EAARL-B Submerged Topography—Crocker Reef, Florida, 2014

A submerged topography digital elevation model (DEM) mosaic for a portion of the submerged environs of Crocker Reef, Florida, was produced from remotely sensed, geographically referenced elevation measurements collected on April 13 and 22, 2014 by the U.S

Single-Beam Bathymetry Sounding Data of Cape Canaveral, Florida, (2014) gridded in ESRI GRID format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Single-Beam Bathymetry Sounding Data of Cape Canaveral, Florida, (2014) gridded in ESRI ASCII GRID format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Lidar Bathymetry Data of Cape Canaveral, Florida, (2014) in XYZ ASCII text file format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Color coded bathmetry map of Cape Canaveral, Florida, derived from boat based sounding data (2014)

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Single-Beam Bathymetry Sounding Data of Cape Canaveral, Florida, (2014) in XYZ ASCII text file format

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline, and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its

Cape Canaveral, Florida, backscatter data collected in 2016 by Coastal Carolina University: Processed GeoTIFF Image

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

Cape Canaveral, Florida, multibeam bathymetry collected in 2016 by Coastal Carolina University: Processed GeoTIFF Image

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

Cape Canaveral, Florida, seismic chirp collected in 2016 by Coastal Carolina University

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

Cape Canaveral, Florida side scan sonar data collected in 2016 by Coastal Carolina University: Processed GeoTIFF Image

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

Cape Canaveral tracklines of geophysical data collected in 2016 by Coastal Carolina University

A geophysical survey was conducted offshore Cape Canaveral, Florida by Coastal Carolina University offshore of Cape Canaveral, Florida using high-resolution chirp sub-bottom, multibeam bathymetry and side scan sonar (SSS) systems on June 13, 14, 16, and 1

CatIsland 2010 single-beam bathymetry tracklines

In September and October of 2010, the U.S. Geological Survey (USGS), in cooperation with the Army Corps of Engineers (USACE), conducted geophysical surveys around Cat Island, Miss. to collect bathymetry, acoustical backscatter, and seismic reflection data

CatIsland_2010_Bathy_Swath_tracklines

In September and October of 2010, the U.S. Geological Survey (USGS), in cooperation with the Army Corps of Engineers (USACE), conducted geophysical surveys around Cat Island, Miss. to collect bathymetry, acoustical backscatter, and seismic reflection data

Interferometric Swath Bathymetry XYZ Data Collected in 2013 from the Chandeleur Islands, Louisiana U.S. Geological Survey (USGS) Field Activity Numbers (FAN) 13BIM02 and 13BIM07.

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana

Single-Beam Bathymetric Data Collected in 2013 from the Chandeleur Islands, Louisiana, U.S. Geological Survey (USGS) Field Activity Numbers (FAN) 13BIM03, 13BIM04, 13BIM08.

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana

Nearshore Single-Beam Bathymetry XYZ Data Collected in 2017 from the Chenier Plain, Louisiana

As a part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the Chenier Plain, Louisi

Nearshore Single-Beam Bathymetry XYZ Data Collected in 2017 from the Chenier Plain, Louisiana

As a part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the Chenier Plain, Louisi

Nearshore Single-Beam Bathymetry XYZ Data Collected in 2017 from the Chenier Plain, Louisiana

As a part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the Chenier Plain, Louisi

Wilderness Breach Ground Based XYZ Point Bathymetry Data Collected in June 2014 from Fire Island, New York

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Single-Beam XYZ Point Coastal Bathymetry Data Collected in June 2014 from Fire Island, New York from the Wilderness Breach and Shoreface

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Single-Beam XYZ Point Coastal Bathymetry Data Collected in June 2014 from Fire Island, New York from the Shoreface

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Single-Beam XYZ Point Coastal Bathymetry Data Collected in June 2014 from Fire Island, New York from the Wilderness Breach

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S.

Single-Beam Bathymetry Sounding Data of Ten Thousand Islands, Florida (2009) in XYZ format

Restoration of the Everglades requires the implementation of many components staged temporally and spatially with results realized on different time and spatial scales. Due to extensive feeding and migratory patterns of manatees, restoration effects on Fl

Single-Beam Bathymetry Sounding Data of Ten Thousand Islands, Florida (2009) in XYZ format

Restoration of the Everglades requires the implementation of many components staged temporally and spatially with results realized on different time and spatial scales. Due to extensive feeding and migratory patterns of manatees, restoration effects on Fl

Single-Beam Bathymetry Sounding Data Offshore from Wiggins Pass to Cape Romano, Florida (2005) in XYZ format

During the last few decades, the coastal environments of south Florida have shown signs of ecological deterioration that has been attributed to changes in freshwater inflows caused by management practices and corresponding increases of salinity and nutrie

Single-Beam Bathymetry Sounding Data Offshore from Wiggins Pass to Cape Romano, Florida (2005) in XYZ format

During the last few decades, the coastal environments of south Florida have shown signs of ecological deterioration that has been attributed to changes in freshwater inflows caused by management practices and corresponding increases of salinity and nutrie

Single-Beam Bathymetry Sounding Data of the Caloosahatchee River, Florida (2002) in XYZ format

The Caloosahatchee River is located in Southwest Florida and drains northern parts of the Florida Everglades. It stretches 110 km (68 miles) inland and empties into the Gulf of Mexico at Ft. Myers and Cape Coral, FL. The lower section of the river is part

Single-Beam Bathymetry Sounding Data of the Caloosahatchee River, Florida (2002) in XYZ format

The Caloosahatchee River is located in Southwest Florida and drains northern parts of the Florida Everglades. It stretches 110 km (68 miles) inland and empties into the Gulf of Mexico at Ft. Myers and Cape Coral, FL. The lower section of the river is part

Single-Beam Bathymetry Sounding Data of Charlotte Harbor and offshore Captiva Island, Florida (2003-2004) in XYZ format

Charlotte Harbor is America's 17th largest and Florida's second largest open water estuary. It has a broad barrier island chain, large parts of which are in public ownership; its mangrove shoreline is largely intact and in public management. Regardless, t

Single-Beam Bathymetry Sounding Data of Charlotte Harbor and offshore Captiva Island, Florida (2003-2004) in XYZ format

Charlotte Harbor is America's 17th largest and Florida's second largest open water estuary. It has a broad barrier island chain, large parts of which are in public ownership; its mangrove shoreline is largely intact and in public management. Regardless, t

Single-Beam Bathymetry Sounding Data of Estero Bay, Florida (2003) in XYZ format

The Estero Bay watershed is under significant development pressure with potential impacts on storm water runoff characteristics, and changes in salinity patterns, nutrient and turbidity levels. Environmental quality in the bay is particularly vulnerable

Single-Beam Bathymetry Sounding Data of Estero Bay, Florida (2003) in XYZ format

The Estero Bay watershed is under significant development pressure with potential impacts on storm water runoff characteristics, and changes in salinity patterns, nutrient and turbidity levels. Environmental quality in the bay is particularly vulnerable

Single-Beam Bathymetry Sounding Data of Florida Bay, Florida (1995-1999) in XYZ format

Land development and alterations of the ecosystem in South Florida have decreased freshwater and increased nutrient flows into Florida Bay. As a result, there has been a decrease in the water quality of the bay; the decline in water quality has prompted s

Single-Beam Bathymetry Sounding Data of Florida Bay, Florida (1995-1999) in XYZ format

Land development and alterations of the ecosystem in South Florida have decreased freshwater and increased nutrient flows into Florida Bay. As a result, there has been a decrease in the water quality of the bay; the decline in water quality has prompted s

Single-Beam derived bathymetric contours of Florida Bay, Florida (1995-1999) in ESRI shapefile format

Land development and alterations of the ecosystem in South Florida have decreased freshwater and increased nutrient flows into Florida Bay. As a result, there has been a decrease in the water quality of the bay; the decline in water quality has prompted s

Single-Beam derived bathymetric contours of Florida Bay, Florida (1995-1999) in ESRI shapefile format

Land development and alterations of the ecosystem in South Florida have decreased freshwater and increased nutrient flows into Florida Bay. As a result, there has been a decrease in the water quality of the bay; the decline in water quality has prompted s

Single-Beam Bathymetry Sounding Data of Lake Okeechobee, Florida (2001) in XYZ format

Lake Okeechobee is located in south Florida and is bounded by the Kissimmee River Basin to the north and Everglades National Park to the south. Lake Okeechobee is the largest lake (1890 km2) in Florida and encompasses a drainage area of over 14,200 km2. T

Single-Beam Bathymetry Sounding Data of Lake Okeechobee, Florida (2001) in XYZ format

Lake Okeechobee is located in south Florida and is bounded by the Kissimmee River Basin to the north and Everglades National Park to the south. Lake Okeechobee is the largest lake (1890 km2) in Florida and encompasses a drainage area of over 14,200 km2. T

Single-Beam derived bathymetric contours of Lake Okeechobee, Florida (2001) in Esri shapefile format

Lake Okeechobee is located in south Florida and is bounded by the Kissimmee River Basin to the north and Everglades National Park to the south. Lake Okeechobee is the largest lake (1,890 square kilometers [km2]) in Florida and encompasses a drainage area

Single-Beam derived bathymetric contours of Lake Okeechobee, Florida (2001) in Esri shapefile format

Lake Okeechobee is located in south Florida and is bounded by the Kissimmee River Basin to the north and Everglades National Park to the south. Lake Okeechobee is the largest lake (1,890 square kilometers [km2]) in Florida and encompasses a drainage area

Single-Beam Bathymetry Sounding Data of Lemon Bay, Florida (2011) in XYZ format

Lemon Bay is a long narrow body of water on the west central Florida coast, straddling both Sarasota and Charlotte counties. It encompasses nearly 7700 acres and ranges in depth from 7 meters (m) at Stump Pass to less than 10 centimeters (cm) on the many

Single-Beam Bathymetry Sounding Data of Lemon Bay, Florida (2011) in XYZ format

Lemon Bay is a long narrow body of water on the west central Florida coast, straddling both Sarasota and Charlotte counties. It encompasses nearly 7700 acres and ranges in depth from 7 meters (m) at Stump Pass to less than 10 centimeters (cm) on the many

Single-Beam Bathymetry Sounding Data of Loxahatcheee and St. Lucie Rivers, Florida (2003) in XYZ format

The Loxahatchee River and estuary is a small (544 square miles), shallow, water body located in Southeastern Florida that empties into the Atlantic Ocean at Jupiter Inlet. The watershed drains an area of over 200 square miles within northern Palm Beach an

Single-Beam Bathymetry Sounding Data of Loxahatcheee and St. Lucie Rivers, Florida (2003) in XYZ format

The Loxahatchee River and estuary is a small (544 square miles), shallow, water body located in Southeastern Florida that empties into the Atlantic Ocean at Jupiter Inlet. The watershed drains an area of over 200 square miles within northern Palm Beach an

Swath Bathymetry Sounding Data of Seven Rivers in Southwest Florida (2004) in XYZ format

During the past century, river and tidal creeks through the coastal wetlands of the Everglades have filled with sediment and vegetation of surrounding landscapes to the point that many have greatly diminished or disappeared entirely. Restoration plans are

Swath Bathymetry Sounding Data of Lostmans and Lower Shark Rivers, Florida (2015) in XYZ format

High resolution bathymetry mapping of the coastal rivers and inland lakes along the Southwest coast of Everglades National Park (ENP) is greatly needed from the perspective of resource mapping and future research and hydrologic modeling efforts. To this

Swath derived bathymetric grids of Lostmans and Lower Shark Rivers, Florida (2015) in Esri ASCII grid format

High resolution bathymetry mapping of the coastal rivers and inland lakes along the Southwest coast of Everglades National Park (ENP) is greatly needed from the perspective of resource mapping and future research and hydrologic modeling efforts. To this

Single-Beam derived bathymetric contours of Tampa Bay, Florida (2001-2004) in ESRI shapefile format

Tampa Bay and its environs have experienced phenomenal urban growth and significant changes in land-use practices over the past 50 years. This trend is expected to continue, with human activity intensifying and affecting a wider geographic region. Urbaniz

Single-Beam derived bathymetric contours of Tampa Bay, Florida (2001-2004) in ESRI shapefile format

Tampa Bay and its environs have experienced phenomenal urban growth and significant changes in land-use practices over the past 50 years. This trend is expected to continue, with human activity intensifying and affecting a wider geographic region. Urbaniz

Single-Beam Bathymetry Sounding Data of Tampa Bay, Florida (2001-2004) in X,Y,Z format

Tampa Bay and its environs have experienced phenomenal urban growth and significant changes in land-use practices over the past 50 years. This trend is expected to continue, with human activity intensifying and affecting a wider geographic region. Urbaniz

Single-Beam Bathymetry Sounding Data of Tampa Bay, Florida (2001-2004) in X,Y,Z format

Tampa Bay and its environs have experienced phenomenal urban growth and significant changes in land-use practices over the past 50 years. This trend is expected to continue, with human activity intensifying and affecting a wider geographic region. Urbaniz

Single-Beam Bathymetry Sounding Data of Shark River and Trout Creek, Florida (2004) in XYZ file format

During the past century, river and tidal creeks through the coastal wetlands of the Everglades have filled with sediment and vegetation of surrounding landscapes to the point that many have greatly diminished or disappeared entirely. Restoration plans are

Single-Beam Bathymetry Sounding Data of Shark River and Trout Creek, Florida (2004) in XYZ file format

During the past century, river and tidal creeks through the coastal wetlands of the Everglades have filled with sediment and vegetation of surrounding landscapes to the point that many have greatly diminished or disappeared entirely. Restoration plans are

Sediment Sample Locations Collected in August 2015 from Dauphin Island and the surrounding areas

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center collected 303 surface sediment samples from Dauphin Island, Alabama, and the surrounding water bodies in August 2015. These sediments were processed to determine

EAARL Coastal Topography and Imagery--Western Louisiana, Post-Hurricane Rita, 2005: First Surface

ASCII xyz and binary point-cloud data, as well as a digital elevation model (DEM) of a portion of the Louisiana coastline, post-Hurricane Rita (September 2005 hurricane), was produced from remotely sensed, geographically referenced elevation measurements

EAARL-B Coastal Topography--Eastern New Jersey, Hurricane Sandy, 2012: First Surface

ASCII xyz and binary point-cloud data, as well as a digital elevation model (DEM) of a portion of the New Jersey coastline, pre- and post-Hurricane Sandy (October 2012 hurricane), were produced from remotely sensed, geographically referenced elevation mea

EAARL-B Submerged Topography—Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012

American Standard Code for Information Interchange XYZ and binary point-cloud data, as well as a digital elevation model for part of Barnegat Bay, New Jersey, pre-Hurricane Sandy (October 2012 hurricane), were produced from remotely sensed, geographically

EAARL-B Submerged Topography—Barnegat Bay, New Jersey, post-Hurricane Sandy, 2012–2013

American Standard Code Information Interchange XYZ and binary point-cloud data, as well as a digital elevation model for part of Barnegat Bay, New Jersey, post-Hurricane Sandy (October 2012 hurricane), were produced from remotely sensed, geographically re

EAARL-B Coastal Topography—Fire Island, New York, pre-Hurricane Sandy, 2012: Seamless (Bare Earth and Submerged)

American Standard Code Information Interchange XYZ and binary point-cloud data, as well as a seamless (bare-earth and submerged) digital elevation model for part of Fire Island, New York, pre-Hurricane Sandy (October 2012 hurricane), were produced from re

EAARL-B Coastal Topography—Fire Island, New York, pre-Hurricane Sandy, 2012: Seamless (Bare Earth and Submerged)

This shapefile was produced from 53 2-kilometer by 2-kilometer tile extents of remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey. Elevation measurements were collected over the area using the second-generation

EAARL-B Coastal Topography--Chandeleur Islands, Louisiana, 2012: Seamless (Bare Earth and Submerged) (.shp file)

This shapefile was produced from 52 2-kilometer by 2-kilometer tile extents of remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the second-gen

Single-Beam Bathymetry Point Data Shapefile of the Hurricane Sandy Breach at Fire Island, New York, June 2013

This dataset, 20130626_bathy_points.zip, consists of single-beam point data collected in June 2013 during a bathymetry survey of the Wilderness Breach and adjacent coastline. Scientists from the U.S. Army Corps of Engineers (USACE), in collaboration with

Single-Beam XYZ Point Bathymetry Data of the Hurricane Sandy Breach at Fire Island, New York, June 2013

This dataset, 20130626_bathy_xyz.zip, consists of single-beam point data collected in June 2013 during a bathymetry survey of the Wilderness Breach and adjacent coastline that has been output in American Standard Code for Information Interchange (ASCII) f

10cct01_v2rbf_50m.tif: 50-Meter Resolution Grid of Swath Bathymetry Data Collected Offshore of Cat Island, Mississippi in March 2010

In March of 2010, the U.S. Geological Survey (USGS) conducted geophysical surveys east of Cat Island, Mississippi. The efforts were part of the USGS Gulf of Mexico Science Coordination partnership with the U. S. Army Corps of Engineers (USACE) to assist t

Single-Beam Bathymetry Data Collected in 2015 nearshore Dauphin Island, Alabama, U.S. Geological Survey (USGS). This metadata file is specific to the International Reference Frame 2000 (ITRF00) xyz point data.

Dauphin Island, Alabama is a barrier island located in the Gulf of Mexico that supports local residence, tourism, commercial infrastructure, and the historical Fort Gaines. During the past decade the island has been impacted by several major hurricanes (

Single-Beam Bathymetry Data Collected in 2015 nearshore Dauphin Island, Alabama, U.S. Geological Survey (USGS). These data are in the North American Datum 1983 (NAD83) for horizontal component, and the North American Vertical Datum 1988 (NAVD88) with respect to GEOID12A, and Mean Low or Lower Water (MLLW) for the vertical components.

Dauphin Island, Alabama is a barrier island located in the Gulf of Mexico that supports local residence, tourism, commercial infrastructure, and the historical Fort Gaines. During the past decade the island has been impacted by several major hurricanes (

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - 2005/06/19 through 2005/11/20 Deterministic Scenario

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - 2015/08/27 through 2015/08/29 Deterministic Scenario

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - 2015/12/09 through 2015/12/11 Deterministic Scenario

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

EAARL Coastal Topography–Eastern Louisiana Barrier Islands, 09 March 2008: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over some of the eastern Louisiana barrier islands in cooperation w

EAARL Coastal Topography–Eastern Louisiana Barrier Islands, 09 March 2008: Bare Earth

A Digital Elevation Model (DEM) mosaic was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over some of the eastern Louisiana barrier islands in co

EAARL Coastal Topography–Eastern Louisiana Barrier Islands, 09 March 2008: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over some of the eastern Louisiana barrier islands in cooperation w

EAARL Coastal Topography–Eastern Louisiana Barrier Islands Barrier Islands, 09 March 2008: First Surface

A Digital Elevation Model (DEM) mosaic was data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over some of the eastern Louisiana barrier isl

Estuarine Shoreline and Barrier-Island Sandline Change Assessment Dataset

The Barrier Island and Estuarine Wetland Physical Change Assessment Dataset was created to calibrate and test probability models of barrier island sandline and estuarine shoreline change for study areas in Virginia, Maryland, and New Jersey. The models ex

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 10-Year Simulation with 0.5-meter of Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 10-Year Simulation Without Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 2010 Simulation With 0.5-meter of Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 2010 Simulation Without Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Initial Existing Conditions Grid

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

EAARL Coastal Topography—Fire Island, New York, 2002

ASCII XYZ data for Fire Island, New York, was produced from remotely sensed, geographically referenced elevation measurements collected October 25 and November 8, 2002 by the U.S. Geological Survey, in cooperation with the National Park Service (NPS) and

EAARL Coastal Topography—Fire Island, New York, 2002

A digital elevation model (DEM) mosaic for Fire Island, New York, was produced from remotely sensed, geographically referenced elevation measurements collected October 25 and November 8, 2002 by the U.S. Geological Survey, in cooperation with the National

Coastal Topography—Fire Island, New York, 07 May 2012

Binary point-cloud data were produced for Fire Island, New York, from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. using an Optech Gemini lidar sensor flown on a Cessna 206 aircraft.

Coastal Topography—Fire Island, New York, 07 May 2012

A digital elevation model (DEM) mosaic was produced for Fire Island, New York, from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. using an Optech Gemini lidar sensor flown on a Cessna 206 aircraft

FIIS_Breach_Shorelines.shp - Fire Island National Seashore Wilderness Breach Shoreline Data Collected from Fire Island, New York, October 2014 to October 2017

Hurricane Sandy made U.S. landfall, coincident with astronomically high tides, near Atlantic City, New Jersey, on October 29, 2012. The storm, the largest on historical record in the Atlantic basin, affected an extensive area of the east coast of the Unit

Shorelines_Oct2012_Sep2016.shp: Fire Island, NY pre and post storm shoreline data from October 2012 to September 2016

Hurricane Sandy made U.S. landfall, coincident with astronomical high tides, near Atlantic City, New Jersey, on October 29, 2012. The storm, the largest on historical record in the Atlantic basin, affected an extensive area of the east coast of the United

FIIS_Shorelines_Oct2012_Oct2017.shp: Fire Island, NY pre- and post-storm shoreline data from October 2012 to October 2017

Hurricane Sandy made U.S. landfall, coincident with astronomically high tides, near Atlantic City, New Jersey, on October 29, 2012. The storm, the largest on historical record in the Atlantic basin, affected an extensive area of the east coast of the Unit

Calibrated EAARL-B Submerged Topography--Fort Lauderdale, Florida, 2014 (GEOID12A)

Binary point-cloud data of a portion of the submerged environs of Fort Lauderdale, Florida, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected ov

Calibrated EAARL-B Submerged Topography--Fort Lauderdale, Florida, 2014 (WGS84)

Binary point-cloud data of a portion of the submerged environs of Fort Lauderdale, Florida, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected ov

Uncalibrated EAARL-B Submerged Topography--Fort Lauderdale, Florida, 2014 (GEOID12A)

Binary point-cloud data of a portion of the submerged environs of Fort Lauderdale, Florida, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected ov

Uncalibrated EAARL-B Submerged Topography--Fort Lauderdale, Florida, 2014 (WGS84)

Binary point-cloud data of a portion of the submerged environs of Fort Lauderdale, Florida, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected ov

Wave Scenario Grid with Proposed Sediment Borrow Pit 3 of Breton Island, Louisiana: Model Input Grid 4 with Pit 3 Configuration

The Simulating WAves Nearshore (SWAN) wave model input grid 4 bathymetry with pit 3 configuration (G4_P3_grid.shp) and output of significant wave height, dominant wave period, and mean wave direction resulting from simulation of wave scenarios at Breton I

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Update

This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Gulf of Mexico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model t

GrandBay_2010_Shoreline.shp - Grand Bay, Mississippi/Alabama, Shoreline Data Derived from 2010 Aerial Imagery

GrandBay_2010_Shoreline.zip features a digitized historical shoreline for the Grand Bay, Mississippi (MS) coastline (Pascagoula, MS to Point aux Pins, Alabama [AL]) derived from 2010 aerial imagery. Imagery of the Mississippi and Alabama coastlines was ac

GrandBay_2012_Shoreline.shp - Grand Bay, Mississippi/Alabama, Shoreline Data Derived from 2012 Aerial Imagery

GrandBay_2012_Shoreline.zip features a digitized historical shoreline for the Grand Bay, Mississippi (MS) coastline (Pascagoula, MS to Bayou La Fourche Bay, Alabama [AL]) derived from 2012 aerial imagery. Imagery of the Mississippi and Alabama coastlines

Single-Beam Bathymetry Data 10-meter DEM Collected in 2015 from Grand Bay, Alabama/Mississippi

As part of the Sea level and Storm Impacts on Estuarine Environments and Shorelines project (SSIEES), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the e

Single-Beam Bathymetry Data 30-meter DEM Collected in 2015 from Grand Bay, Alabama/Mississippi

As part of the Sea level and Storm Impacts on Estuarine Environments and Shorelines project (SSIEES), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the e

Multibeam Bathymetry Data Collected in 2016 from Grand Bay Alabama/Mississippi: Trackline Navigation

A reconnaissance multibeam bathymetry survey was conducted by the U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Grand Bay Alabama/Mississippi on May 12, 2016 as an assessment of the shallow water capabilities of

EAARL Coastal Topography–Texas, Post-Hurricane Ike, 2008: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over a portion of the Texas coastline, post-Hurricane Ike (Septembe

EAARL Coastal Topography–Texas, Post-Hurricane Ike, 2008: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over a portion of the Texas coastline, post-Hurricane Ike (Septembe

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Ivan Constant Land Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Ivan Default Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

XBeach Bottom Friction Scenarios: Model Inputs and Results

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Intermediate-Low Sea Level Rise (SLR) Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Low Sea Level Rise (SLR) Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Present-Day Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Ivan Spatially Varying Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Static Intermediate-Low Sea Level Rise Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Ivan Static Low Sea Level Rise Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

EAARL Coastal Topography--Chandeleur Islands, Louisiana, Post-Hurricane Katrina, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired by the U.S. Geological Survey (USGS). Elevation measurements were collected over the Chandeleur Islands, post-Hurricane Katrina (Augus

EAARL Coastal Topography--Chandeleur Islands, Louisiana, Post-Hurricane Katrina, 2005: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements acquired by the U.S. Geological Survey (USGS). Elevation measurements were collected over the Chandeleur Islands, post-Hurricane Katrina (Augus

EAARL Coastal Topography--Dauphin Island, Alabama, Post-Hurricane Katrina, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over Dauphin Island, post-Hurricane Katrina (August 2005 hurricane)

EAARL Coastal Topography--Dauphin Island, Alabama, Post-Hurricane Katrina, 2005: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over Dauphin Island, post-Hurricane Katrina (August 2005 hurricane)

EAARL Coastal Topography–Northwest Florida, Post-Hurricane Katrina, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over northwest Florida, post-Hurricane Katrina (August 2005 hurrica

EAARL Coastal Topography–Northwest Florida, Post-Hurricane Katrina, 2005: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over northwest Florida, post-Hurricane Katrina (August 2005 hurrica

Coastal Topography-Upper Florida Keys Reef Tract, Florida, 26-30 June 2016

Binary point-cloud data were produced for a portion of the upper Florida Keys reef tract, Florida, from remotely sensed, geographically referenced elevation measurements collected by Leading Edge Geomatics (LEG) using a Leica Chiroptera II Bathymetric and

Coastal Topography-Upper Florida Keys Reef Tract, Florida, 26-30 June 2016

A digital elevation model (DEM) mosaic was produced for a portion of the upper Florida Keys reef tract, Florida, from remotely sensed, geographically referenced elevation measurements collected by Leading Edge Geomatics (LEG) using a Leica Chiroptera II B

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Katrina before Hurricane Ivan Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Katrina Constant Land Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Katrina Default Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

XBeach Bottom Friction Scenarios: Model Inputs and Results

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Katrina Intermediate-Low Sea Level Rise Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Katrina Low Sea Level Rise Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Katrina Present-Day Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and ot

XBeach Bottom Friction Scenarios: Model Inputs and Results for Hurricane Katrina Spatially Varying Friction Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), various bottom friction scenarios were simulated for hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama as described in Passeri and others, 2018. The XBeach model

Coastal Topography—Long Island, New York, Post-Hurricane Irene, 30 August 2011

Binary point-cloud data were produced for Long Island, New York, from remotely sensed, geographically referenced elevation measurements collected by Woolpert, Inc. using an Leica ALS50-II lidar sensor flown on a Cessna 404 aircraft. These data were collec

Coastal Topography—Long Island, New York, Post-Hurricane Irene, 30 August 2011

A digital elevation model (DEM) mosaic was produced for Long Island, New York, from remotely sensed, geographically referenced elevation measurements collected by Woolpert, Inc. using an Leica ALS50-II lidar sensor flown on a Cessna 404 aircraft. These da

Lidar_MHW_Shorelines_1998_2014.shp - Mean High Water (MHW) Shorelines Extracted from Lidar Data for Dauphin Island, Alabama from 1998 to 2014.

This shapefile consists of Dauphin Island, AL shorelines extracted from lidar data collected from November 1998 to January 2014. This dataset contains 14 Mean High Water (MHW) shorelines separated into 37 shoreline segments alongshore Dauphin Island, AL.

Massachusetts Mean (interpolated) Beach Slope Point Data

The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes for Mass

Massachusetts raw (non-interpolated) Beach Slope Point Data

The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines beach slopes along the Uni

Benthic foraminiferal data from the eastern Mississippi Sound salt marshes and estuaries

Microfossil (benthic foraminifera) and coordinate/elevation data were obtained from sediments collected in the coastal zones of Mississippi and Alabama, including marsh and estuarine environments of eastern Mississippi Sound and Mobile Bay, in order to de

Benthic foraminiferal data from sedimentary cores collected in the Grand Bay (Mississippi) and Dauphin Island (Alabama) salt marshes

Microfossil (benthic foraminifera) data from coastal areas were collected from state and federally managed lands within the Grand Bay National Estuarine Research Reserve and Grand Bay National Wildlife Refuge, Grand Bay, Mississippi/Alabama; federally man

Benthic foraminiferal data from sedimentary cores collected in the Grand Bay (Mississippi) and Dauphin Island (Alabama) salt marshes

Microfossil (benthic foraminifera) data from coastal areas were collected from state and federally managed lands within the Grand Bay National Estuarine Research Reserve and Grand Bay National Wildlife Refuge, Grand Bay, Mississippi/Alabama; federally man

Benthic foraminiferal data from the eastern Mississippi Sound salt marshes and estuaries

Microfossil (benthic foraminifera) and coordinate/elevation data were obtained from sediments collected in the coastal zones of Mississippi and Alabama, including marsh and estuarine environments of eastern Mississippi Sound and Mobile Bay, in order to de

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Northeast Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling m

New Jersey Mean (interpolated) Beach Slope Point Data

The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes for New

New Jersey raw (non-interpolated) Beach Slope Point Data

The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines beach slopes along the Uni

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Gulf of Mexico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Southeast Atlantic

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Southeast Atlantic coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling m

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Mid-Atlantic Coast

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Mid-Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model t

National Assessment of Hurricane-Induced Coastal Erosion Hazards: Mid-Atlantic Coast (version 2)

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Mid-Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model t

Sediment Sample Locations Collected from March 2012 to July 2013 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Numbers 12BIM01, 12BIM02, 12BIM05, and 13BIM06)

Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a time-series collection of shallow sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana from March

Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and adjacent vicinity, Maryland and Virginia, following Hurricane Sandy

The influence of tropical and extratropical cyclones on coastal wetlands and marshes is highly variable in both space and time and depends on a number of climatic, geologic, and physical variables. The impacts storms can be either positive or negative wi

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - With-Project Condition 10-Year Simulation With 0.5-meter of Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - With-Project Condition 10-Year Simulation Without Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 2010 Simulation With 0.5-meter of Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - With-Project Condition 2010 Simulation Without Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Initial Project Conditions Grid

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic an

EAARL Coastal Topography–Texas, Post-Hurricane Rita, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over a portion of the Texas coastline, post-Hurricane Rita (Septemb

EAARL Coastal Topography–Texas, Post-Hurricane Rita, 2005: First Return

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over a portion of the Texas coastline, post-Hurricane Rita (Septemb

EAARL-B Topography—Suncook River, New Hampshire, 5-6 November 2013: Seamless (Bare Earth and Submerged)

Binary point-cloud data for part of the Suncook River in New Hampshire were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey. Elevation m

EAARL-B Submerged Topography - Saint Croix, U.S. Virgin Islands, 2014

ASCII XYZ point cloud data for a portion of the submerged environs of Saint Croix, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 11, 19, and 21, 2014 by the U.S. Geological Surv

EAARL-B Submerged Topography—Saint Croix, U.S. Virgin Islands, 2014

A submerged topography digital elevation model (DEM) mosaic for a portion of the submerged environs of Saint Croix, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 11, 19, and 21,

EAARL-B Submerged Topography–Saint Croix, U.S. Virgin Islands, 2014

ASCII XYZ point cloud data for a portion of the submerged environs of Saint Croix, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 11, 19, and 21, 2014 by the U.S. Geological Surv

EAARL-B Submerged Topography–Saint Croix, U.S. Virgin Islands, 2014

A submerged topography Digital Elevation Model (DEM) mosaic for a portion of the submerged environs of Saint Croix, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 11, 19, and 21,

EAARL-B Submerged Topography—Saint Thomas, U.S. Virgin Islands, 2014

ASCII XYZ point cloud data for a portion of the submerged environs of Saint Thomas, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 7, 8, 11, 12, 13, 14, 17, 18, and 24, 2014 by t

EAARL-B Submerged Topography--Saint Thomas, U.S. Virgin Islands, 2014

A submerged topography Digital Elevation Model (DEM) mosaic for a portion of the submerged environs of Saint Thomas, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 7, 8, 11, 12,

EAARL-B Submerged Topography–—Saint Thomas, U.S. Virgin Islands, 2014

ASCII XYZ point cloud data for a portion of the submerged environs of Saint Thomas, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 7, 8, 11, 12, 13, 14, 17, 18, and 24, 2014 by t

EAARL-B Submerged Topography–Saint Thomas, U.S. Virgin Islands, 2014

A submerged topography Digital Elevation Model (DEM) mosaic for a portion of the submerged environs of Saint Thomas, U.S. Virgin Islands, was produced from remotely sensed, geographically referenced elevation measurements collected on March 7, 8, 11, 12,

Coastal Bathymetry Data Collected in 2016 nearshore from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi, U.S. Geological Survey (USGS).

The United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC), in cooperation with the United States Army Corps of Engineers (USACE) conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Isl

Transects_BackBarrier.shp - Digital Shoreline Analysis System version 4.3 Transects with Linear Regression Rate Calculations for the Back-Barrier (North-Facing) coast of Dauphin Island, Alabama.

Rates of shoreline change for Dauphin Island, Alabama were generated for three analysis periods, using two different shoreline proxy datasets. Mean High Water line (MHW) shorelines were generated from 14 lidar datasets (1998-2014) and Wet Dry Line (WDL) s

National Assessment of Hurricane-Induced Coastal Erosion Hazards: South Carolina through New Hampshire Update

This data set contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the United States coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model t

XYZ point data - Post Hurricane Sandy Beach Profile Survey Fire Island Inlet to Moriches Inlet 2013

The U.S. Army Corps of Engineers(USACE) contracted a beach survey of Fire Island, New York from September 17–October 6, 2013, for the purpose of planning a beach reconstruction project following Hurricane Sandy. This dataset contains elevation data of s

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data: False-Floor Experiment Flow Velocity and Shear Stress

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data: False-Floor Experiment Interpretive Video

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates: Video and Velocity Data: Sea Floor Interaction Experiment Preview Video (GoPro)

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates: Video and Velocity Data: Sea Floor Interaction Experiment Video (GoPro)

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data: Sea Floor Interaction Experiment Interpretive Video

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data: Sea Floor Interaction Experiment Flow Velocity

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data: Sea Floor Interaction Experiment Interpretive Video

Weathered oil in the surf-zone after an oil spill may mix with suspended sediments to form sand and oil agglomerates (SOA). Sand and oil agglomerates may form in mats on the scale of tens of meters (m), and may break apart into pieces between 1 and 10 cen

2010 Cape Canaveral, Florida Single-beam Bathymetry Data

Single-beam bathymetric surveys were conducted on July 27-29, 2010 along 37 cross-shore transects offshore from Cape Canaveral, Fla. The transects were spaced 500 meters (m) apart in the alongshore direction and each was approximately five kilometers (km)

EAARL Coastal Topography--Western Florida, Post-Hurricane Charley, 2004: First Surface

A first-surface elevation map (also known as a Digital Elevation Model, or DEM) of a portion of western Florida, post-Hurricane Charley, was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geologic

EAARL Coastal Topography and Imagery--Naval Live Oaks Area, Gulf Islands National Seashore, Florida, 2007

A digital elevation map (also known as a Digital Elevation Model, or DEM) of the Naval Live Oaks Area in Florida's Gulf Islands National Seashore was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S.

EAARL Coastal Topography--Western Florida, Post-Hurricane Charley, 2004: Seamless (Bare Earth and Submerged)

A seamless (bare-earth and submerged) elevation map (also known as a Digital Elevation Model, or DEM) of a portion of western Florida, post-Hurricane Charley, was produced from remotely sensed, geographically referenced elevation measurements cooperativel

EAARL Coastal Topography--Chandeleur Islands, Louisiana, 2010: Bare Earth

A bare-earth digital elevation map (also known as a Digital Elevation Model, or DEM) of a portion of the Chandeleur Islands, Louisiana, was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geologica

EAARL Coastal Topography--Gateway National Recreation Area, New Jersey and New York, 2009

A digital elevation map (also known as a Digital Elevation Model, or DEM) of a portion of the Gateway National Recreation Area in New Jersey and New York was produced from remotely sensed, geographically referenced elevation measurements cooperatively by

EAARL Coastal Topography--Eastern Florida, Post-Hurricane Frances, 2004: First Surface

A digital elevation map (also known as a Digital Elevation Model, or DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS)

EAARL Coastal Topography--Eastern Florida, Post-Hurricane Frances, 2004: Bare Earth

A bare-earth digital elevation map (also known as a Digital Elevation Model, or DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Sur

EAARL Coastal Topography--Mississippi and Alabama Barrier Islands, Post-Hurricane Gustav, 2008

A digital elevation model (DEM) of a portion of the Mississippi and Alabama barrier islands, post-Hurricane Gustav (September 2008 hurricane), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Ge

EAARL Coastal Topography--Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the Sandy Hook Unit of the Gateway National Recreation Area in New Jersey, post-Nor'Ida (November 2009 nor'easter) was produced from remotely sensed, geographically referenced elevation measurements cooperat

EAARL Coastal Topography--Fire Island National Seashore, New York, Post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the Fire Island National Seashore in New York, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geologica

EAARL Coastal Topography and Imagery--Assateague Island National Seashore, Maryland and Virginia, Post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the Assateague Island National Seashore in Maryland and Virginia, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by

EAARL Coastal Topography--Eastern Louisiana Barrier Islands, Post-Hurricane Gustav, 2008: First Surface

A digital elevation model (DEM) of a portion of the eastern Louisiana barrier islands, post-Hurricane Gustav (September 2008 hurricane), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geologic

EAARL Coastal Topography--Eastern Florida, Post-Hurricane Jeanne, 2004: First Surface

A digital elevation model (DEM) of a portion of the eastern Florida coastline, post-Hurricane Jeanne (September 2004 hurricane), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Surve

EAARL Coastal Topography--Maryland and Delaware, post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the eastern Maryland and Delaware coastline, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS).

EAARL Coastal Topography--Cape Hatteras National Seashore, North Carolina, Post-Nor'Ida, 2009: First Surface

A digital elevation model (DEM) of a portion of the National Park Service Southeast Coast Network's Cape Hatteras National Seashore in North Carolina, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced el

EAARL Coastal Topography and Imagery--Fire Island National Seashore, New York, 2009

A digital elevation model (DEM) of a portion of the Fire Island National Seashore in New York was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the National Park Service

10cct02_sw_v2_50m - 50 meter interpolated bathymetric grid of Petit Bois Pass, Mississippi Barrier Islands, March 2010

In March of 2010, the U.S. Geological Survey (USGS) conducted geophysical surveys offshore of Petit Bois Island, Mississippi and Dauphin Island, Alabama. These efforts were part of the U.S. Geological Survey Gulf of Mexico Science Coordination partnership

EAARL Coastal Topography--Cape Hatteras National Seashore, North Carolina, Post-Nor'Ida, 2009: Bare Earth

A digital elevation model (DEM) of a portion of the Cape Hatteras National Seashore in North Carolina, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. G

EAARL Coastal Topography-Cape Canaveral, Florida, 2009: First Surface

A digital elevation model (DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Adm

EAARL Coastal Topography--Northern Outer Banks, North Carolina, Post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the northern North Carolina coastline beachface, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (US

EAARL Topography--Potato Creek Watershed, Georgia, 2010

A digital elevation model (DEM) of a portion of the Potato Creek watershed in Georgia was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the

EAARL Topography--Three Mile Creek and Mobile-Tensaw Delta, Alabama, 2010

A digital elevation model (DEM) of a portion of the Mobile-Tensaw Delta region and Three Mile Creek in Alabama was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements

EAARL Coastal Topography--Eastern Florida, Post-Hurricane Jeanne, 2004: Bare Earth

A digital elevation model (DEM) of a portion of the eastern Florida coastline, post-Hurricane Jeanne (September 2004 hurricane), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Surve

EAARL Coastal Topography--Assateague Island National Seashore, Maryland and Virginia, 2010

A digital elevation model (DEM) of a portion of the Assateague Island National Seashore in Maryland and Virginia was produced from remotely sensed, geographically referenced elevation measurements collected cooperatively by the U.S. Geological Survey (USG

EAARL Coastal Topography--Virginia, Post-Nor'Ida, 2009

A digital elevation model (DEM) of a portion of the Virginia coastline beachface, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation

EAARL Coastal Topography--Alligator Point, Louisiana, 2010

A digital elevation model (DEM) of a portion of Alligator Point, Louisiana, was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using

rm10cct03_mb_50m.tif: 50-m interpolated bathymetry grid of the entire survey from USGS Cruise 10cct03

In April of 2010, the U.S. Geological Survey (USGS) conducted a geophysical survey from the east end of West Ship Island, MSiss., extending to the middle of Dauphin Island, Ala. This survey had a dual purpose: (1) to interlink previously conducted nearsho

10CCT03_ss_1m.tif: the 1-m resolution grid of the side scan sonar data from USGS Cruise 10cct03

In April of 2010, the U.S. Geological Survey (USGS) conducted a geophysical survey from the east end of West Ship Island, MSiss., extending to the middle of Dauphin Island, Ala. This survey had a dual purpose: (1) to interlink previously conducted nearsho

EAARL Coastal Topography--Central Wetlands, Louisiana, 2010

A digital elevation model (DEM) of a portion of the Central Wetlands, Louisiana was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area o

EAARL Coastal Topography--North Shore, Lake Pontchartrain, Louisiana, 2010

A digital elevation model (DEM) of a portion of the north shore of Lake Pontchartrain, Louisiana, was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collect

rm08_09_50gv2.tif

During the summers of 2008 and 2009 the USGS conducted bathymetric surveys from West Ship Island, Miss., to Dauphin Island, Ala., as part of the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project. The survey area extended fr

CatIsland_2010_Bathy_NAVD88_grid.tif

In September and October of 2010, the U.S. Geological Survey (USGS), in cooperation with the Army Corps of Engineers (USACE), conducted geophysical surveys around Cat Island, Miss. to collect bathymetry, acoustical backscatter, and seismic reflection data

Sediment Core Locations Collected in March 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM01)

Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center collected a set of sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana, in March 2012. The sampling efforts were part

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar-extracted dune features

Dune crest and toe positions along a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), were produced

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012

Derived products of a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), were produced by the U.S. Ge

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar point-cloud data (LAS)

Binary point-cloud data were produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), from r

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Mean-high-water shoreline

Mean-high-water (MHW) shoreline for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines were derived from lidar data collected following Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extra

Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012

Dune features (dune crest and toe elevations) and mean-high-water shoreline data for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an

Biscayne National Park LIDAR GeoTIFF

Lidar is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through it subsequent fluorescence. Airborne ranging lidar is now being applied in coastal environmen

EAARL Topography-Dry Tortugas National Park

Lidar is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through it subsequent fluorescence. Airborne ranging lidar is now being applied in coastal environmen

EAARL Bare Earth Topography-Fire Island National Seashore

A bare earth elevation map (also known as a Digital Elevation Model or DEM) of Fire Island National Seashore was produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS), Nationa

EAARL Topography-Fire Island National Seaashore

A first return elevation map (also known as a Digital Elevation Model or DEM) of Fire Island National Seashore was produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS), Natio

EAARL Topography-Assateague Island National Seashore-Lidar GeoTIFF

LiDAR is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through it subsequent fluorescence. Airborne ranging LiDAR is now being applied in coastal environmen

EAARL Topography-Thomas Stone National Historic Site

A first surface elevation map (also known as a Digital Elevation Model or DEM) of Thomas Stone National Historic Site was produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS)

EAARL Topography - Gateway National Recreation Area

A bare earth elevation map (also known as a Digital Elevation Model or DEM) of Gateway National Recreation Area was produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS), Nati

EAARL Topography George Washington Birthplace National Monument

A bare earth elevation map (also known as a Digital Elevation Model or DEM) of George Washington Birthplace National Monument was produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Surve

EAARL Topography-Cape Cod National Seashore

Elevation maps (also known as Digital Elevation Models or DEMs) of Cape Cod National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were interp

EAARL Topography-Gulf Islands National Seashore-Mississippi

Abstract: Elevation maps (also known as Digital Elevation Models or DEMs) of Gulf Islands National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text fil

EAARL Topography-Sagamore Hill National Historic Site

Elevation maps (also known as Digital Elevation Models or DEMs) of the Sagamore Hill National Historic Site were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text fil

EAARL Submarine Topography-Florida Keys National Marine Sanctuary

Lidar is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through its subsequent fluorescence. Airborne ranging Lidar is now being applied in coastal environmen

EAARL Topography-Gulf Islands National Seashore-Florida

Elevation maps (also known as Digital Elevation Models or DEMs) of Gulf Islands National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were in

EAARL Topography-Padre Island National Seashore

Elevation maps (also known as Digital Elevation Models or DEMs) of Padre Island National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were in

EAARL Submarine Topography-Northern Florida Keys Reef Tract

Lidar is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through its subsequent fluorescence. Airborne ranging lidar is now being applied in coastal environmen

Probability Model Outputs: National Assessment of Nor'easter-Induced Coastal Erosion Hazards: Mid- and Northeast Atlantic Coast (Polyline Shapefile)

These datasets contain information on the probabilities of nor'easter-induced erosion (collision, overwash and inundation) for each 1-km section of the Mid- and Northeast Atlantic coast, from North Carolina through Maine, for class 1-3 nor'easters. The an

150-meter Fledermaus bathymetry grid from U.S. Geological Survey Cruise 02051, National Oceanic and Atmospheric Administration RB0208, September 24 to 30, 2002 aboard the Ronald H. Brown in the Puerto Rico Trench region (RB2002sd.sd)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

150-meter Fledermaus bathymetry grid from U.S. Geological Survey Cruise 03032, National Oceanic and Atmospheric Administration RB0305, 28 August to 4 September 2003 (RB2003Augustsd.sd)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

150-meter Fledermaus bathymetry grid from U.S. Geological Survey Cruise 03008, National Oceanic and Atmospheric Administration RB0303, February 18 to March 7, 2003 aboard the Ronald H. Brown in the Puerto Rico Trench region (RB2003sd.sd)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

Sun-Illuminated Color GeoTIFF Image of the 150-meter bathymetry grid of the Puerto Rico Trench generated from data collected in 2002 and 2003 by the U.S. Geological Survey and National Oceanic and Atmospheric Administration (combined_grd.tif, geographic, WGS84)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

Fledermaus Scene combining three 150-meter bathymetry grids from U.S. Geological Survey cruises 02051, 03008 and 03032 surveyed in 2002 and 2003 in the region of the Puerto Rico Trench

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

Bathymetric Terrain Model of the Puerto Rico Trench and Northeastern Caribbean Region Compiled by the U.S. Geological Survey From Multibeam Bathymetric Data Collected Between 2002 and 2013 (PRBATHOFR150, Esri Binary Grid, UTM19, WGS 84).

Bathymetric terrain models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in technologies of acquiring and processing bathymetric data have facilitated the creation of high-resolution bathymetric sur

150-meter bathymetry grid acquired in September 2002 aboard the Ronald H. Brown on U.S. Geological Survey Cruise 2002-051-FA from the Puerto Rico Trench region (RB2002, Esri binary and ASCII grid, UTM zone 19, WGS84)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

150-meter bathymetry grid acquired in August and September 2003 aboard the Ronald H. Brown on U.S. Geological Survey Cruise 2003-032-FA from the Puerto Rico Trench region (RB2003august, Esri binary and ASCII grid, UTM zone 19, WGS84)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

150-meter bathymetry grid acquired in February and March of 2003 aboard the Ronald H. Brown on U.S. Geological Survey Cruise 2003-008-FA from the Puerto Rico Trench region (RB2003, Esri binary and ASCII grid, UTM zone 19, WGS84)

In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208

ATLANTIC - Coastal Vulnerability to Sea-Level Rise: A Preliminary Database for the U.S. Atlantic Coast

The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea-level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the v

GULF - Coastal Vulnerability to Sea-Level Rise: U.S. Gulf Coast

The goal of this project is to quantify, at the National scale, the relative susceptibility of the Nation's coast to sea-level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorpholo

PACIFIC - Coastal Vulnerability to Sea-Level Rise: U.S. Pacific Coast

The goal of this project is to quantify, at the National scale, the relative susceptibility of the Nation's coast to sea-level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorpholo

Buzzards Bay: continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf, (32-bit GeoTIFF, UTM 19 NAD 83, NAVD 88 vertical datum).

Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for ocean planning purposes. The area is divided into the following

Cape Cod Bay: continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf, (32-bit GeoTIFF, UTM 19 NAD 83, NAVD 88 vertical datum).

Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for ocean planning purposes. The area is divided into the following

Massachusetts Bay and adjacent land: continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf, (32-bit GeoTIFF, UTM 19 NAD 83, NAVD 88 vertical datum).

Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for ocean planning purposes. The area is divided into the following

Vineyard and Nantucket Sounds, southern coast of Cape Cod including Martha's Vineyard and Nantucket: continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf, (32-bit GeoTIFF, UTM 19 NAD 83, NAVD 88 vertical datum).

Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for ocean planning purposes. The area is divided into the following

Marsh Shorelines of the Massachusetts Coast from 2013-14 Topographic Lidar Data

The Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the Massachusetts coast. Seventy-six maps were produced in 1997 depicting a statistical analysis of shoreline chang

30 meter Esri binary grids of coastal response type probabilities with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83)

The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal respons

Bathymetry of the Sandy Hook artificial reef (2-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

The Sandy Hook artificial reef, located on the sea floor offshore of Sandy Hook, New Jersey was built to create habitat for marine life. The reef was created by the placement of heavy materials on the sea floor; ninety-five percent of the material in the

Ground control point and transect locations associated with images collected during unmanned aerial systems (UAS) flights over The Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Braddock East camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Braddock East point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file).

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Braddock West camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Braddock West point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (LAZ file).

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Bathymetry of the Hudson Canyon region (100-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

The Hudson Canyon begins on the outer continental shelf off the east coast of the United States at about 100-meters (m) water depth and extends offshore southeastward across the continental slope and rise. A multibeam survey was carried out in 2002 to map

GeoTIFF image of shaded-relief bathymetry, illuminated from 315 degrees, of the sea floor of the Hudson Canyon region (100-m resolution, Mercator, WGS 84)

The Hudson Canyon begins on the outer continental shelf off the east coast of the United States at about 100-meters (m) water depth and extends offshore southeastward across the continental slope and rise. A multibeam survey was carried out in 2002 to map

GeoTIFF image of shaded-relief bathymetry, illuminated from 45 degrees, of the sea floor of the Hudson Canyon region (100-m resolution, Mercator, WGS 84)

The Hudson Canyon begins on the outer continental shelf off the east coast of the United States at about 100-meters (m) water depth and extends offshore southeastward across the continental slope and rise. A multibeam survey was carried out in 2002 to map

Independent transect point locations (coordinates only) associated with images collected during unmanned aerial systems (UAS) flights over Coast Guard Beach, Nauset Spit, Nauset Inlet, and Nauset Marsh, Cape Cod National Seashore, Eastham, Massachusetts on 1 March 2016 (Text file)

This dataset contains the locations of independent survey points acquired on the same day that images were obtained from unmanned aerial systems (UAS) flown in the Cape Cod National Seashore. The overall objective of the field work was to evaluate the qua

Collection, Analysis, and Age-Dating of Sediment Cores from Salt Marshes on the South Shore of Cape Cod, Massachusetts, From 2013 Through 2014

The accretion history of fringing microtidal salt marshes located on the south shore of Cape Cod, Massachusetts, was reconstructed from sediment cores collected in low and high marsh vegetation zones. The location of these marshes within protected embayme

Bathymetry of the Atlantic Beach artificial reef (2-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

The Atlantic Beach artificial reef, located on the sea floor 3 nautical miles south of Atlantic Beach, New York in about 20 meters water depth, was built to create habitat for marine life. The reef was originally created by placing heavy materials such as

Positions of temporary targets used as ground control points associated with UAS flights over Black Beach, Falmouth, Massachusetts on 18 March 2016 (text file)

Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are p

Multibeam Echosounder, Reson T-20P deep site bathymetry (4-m), USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (32-bit GeoTIFF, UTM Zone 16N, NAD 83, NAVD 88 Vertical Datum)

High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi Rive

Multibeam Echosounder, Reson T-20P MC20 site bathymetry (2-m), USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (32-bit GeoTIFF, UTM Zone 16N, NAD 83, NAVD 88 Vertical Datum)

High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi Rive

Multibeam Echosounder, Reson T-20P bathymetry overview (10-m), USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (32-bit GeoTIFF, UTM Zone 16N, NAD 83, NAVD 88 Vertical Datum)

High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi Rive

Multibeam Echosounder, Reson T-20P Southwest Pass site bathymetry (8-m), USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (32-bit GeoTIFF, UTM Zone 16N, NAD 83, NAVD 88 Vertical Datum)

High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi Rive

Multibeam bathymetric data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 12N, NAD 83, NAVD 88 Vertical Datum, 2-m resolution).

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau o

2013-14 Massachusetts Lidar-Derived Dune Crest Point Data

This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of C

2013-14 Massachusetts Lidar-Derived Dune Toe Point Data

This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of C

4-meter resolution bathymetric grid representing single beam data collected by the U.S. Geological Survey during field activity 2016-030-FA offshore Sandwich Beach, MA in June 2016 (32-bit GeoTIFF, UTM Zone 19N, NAD83-HARN)

The objectives of the survey were to provide bathymetric and sidescan sonar data for sediment transport studies and coastal change model development for ongoing studies of nearshore coastal dynamics along Sandwich Town Neck Beach, MA. Data collection equ

Comma separated value (CSV) text file of post-processed kinematic (PPK) data calculated from raw data logged on two Spectra Precision SP80 GNSS receivers during survey 2016-030-FA conducted offshore Sandwich Beach, MA by the U.S. Geological Survey in 2016

The objectives of the survey were to provide bathymetric and sidescan sonar data for sediment transport studies and coastal change model development for ongoing studies of nearshore coastal dynamics along Sandwich Town Neck Beach, MA. Data collection equ

Chimney Bluffs camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Ground control point and transect locations associated with images collected during unmanned aerial systems (UAS) flights over The Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Chimney Bluffs point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data

Charles Point camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Charles Point point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Greig Street camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Greig Street point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Lake Bluffs camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Lake Bluffs point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Ground control point and transect locations associated with images collected during unmanned aerial systems (UAS) flights over The Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Sodus North camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

Sodus North point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file)

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to

1-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_1MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_5MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_BATHY6M)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution gray-scale image of shaded-relief multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_SRELIEF.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

1-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_1MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_5MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_BATHY6M)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution gray-scale image of shaded-relief multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_SRELIEF.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

1-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_1MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_5MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_BATHY6M)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution gray-scale image of shaded-relief multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_SRELIEF.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

1-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangles 1-3 (WMB_1MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangles 1-3 (WMB_5MCTR.SHP)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

6-m resolution grid of multibeam bathymetry of western Massachusetts Bay map Quadrangles 1-3 (WMB_BATHY6M)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

Bathymetric Terrain Model of the U.S. Atlantic Margin (100-meter resolution) compiled by the U.S. Geological Survey (32-bit GeoTIFF, MERCATOR Projection, WGS 84)

Bathymetric terrain models of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing technologies of bathymetric data have facilitated the creation of high-resolution bathymetric surfaces

U.S. Atlantic East Coast bathymetry contours (EGLORIA_CNT)

The bathymetric contours, which comprise this GIS data layer, contains contours for the U.S. Atlantic East Coast. The dataset was created for use with the USGS Continental Margin Mapping Program (CONMAP) by digitizing available paper maps. In 1984 the

ArcInfo Grid of the 30 meter pixel Composite Bathymetry of Boston Harbor and Approaches (BH_30MBATH, UTM 19, WGS84)

These data are high-resolution bathymetric measurements of the seafloor from Boston Harbor and the harbor approaches, Massachusetts. Approximately 170 km square of sidescan sonar and bathymetric data were collected by the National Oceanic and Atmospheric

10 meter bathymetric contours of the Cape Ann - Salisbury Beach MA Survey Area (BATHCNTR_10M, geographic, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

5 meter ArcRaster grid of swath bathymetry of inshore area of Cape Ann - Salisbury Beach Massachusetts survey area (BATH_IS5m, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

5 meter ArcRaster grid of multibeam bathymetry of the offshore area of Cape Ann - Salisbury Beach Massachusetts Survey Area (BATH_OS5m, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

5 meter ArcRaster Bathymetric grid of both the inshore and offshore area of Cape Ann - Salisbury Beach Survey Area (CABATH5M, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

5 meter color-hillshaded relief GeoTIFF of both the inshore and offshore area of Cape Ann - Salisbury Beach Survey Area (CABATH5M_GEOG.TIF, Geographic, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

5 meter ArcRaster Bathymetric Hillshade of both the inshore and offshore portions of the Cape Ann - Salisbury Beach Massachusetts Survey Area (CABATH5MHS, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective

Shaded-relief GeoTIFF image of a portion of Cape Cod and the surrounding sea floor

In order to test hypotheses about groundwater flow under and into estuaries and the Atlantic Ocean, geophysical surveys, geophysical probing, submarine groundwater sampling, and sediment coring were conducted by U.S. Geological Survey (USGS) scientists at

ASCII formatted file of the 4-m bathymetry from the northern half of USGS survey 98015 of the Sea Floor off Eastern Cape Cod (CAPENORTH_GEO4M_XYZ.TXT, Geographic, NAD83)

This data set includes bathymetry of the sea floor offshore of eastern Cape Cod, Massachusetts. The data were collected with a multibeam sea floor mapping system during USGS survey 98015, conducted November 9 - 25, 1998. The surveys were conducted using

ASCII formatted file of the 4-m bathymetry from the southern half of USGS Survey 98015 of the Sea Floor off Eastern Cape Cod (CAPESOUTH_GEO4M_XYZ.TXT, Geographic, NAD83)

This data set includes bathymetry of the sea floor offshore of eastern Cape Cod, Massachusetts. The data were collected with a multibeam sea floor mapping system during USGS survey 98015, conducted November 9 - 25, 1998. The surveys were conducted using

10 meter bathymetric contours of the Duxbury-Hull MA Survey Area (DH_BATHCNTR_10m shapefile, Geographic, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the prim

Bathymetric data collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_bathy5m, Esri binary grid, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the prim

ASCII grid of bathymetry data collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull with data gaps (DH_bathy_wgaps.asc, ARC/INFO ASCII GRID, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the prim

Hillshaded relief produced from bathymetric data collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_hlshd5m, Esri binary grid, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the prim

Color Shaded-Relief GeoTIFF Image Showing the 3-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11079 in Great Round Shoal Channel, Offshore Massachusetts (H11079_3MUTM19_MB.TIF, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

3-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11079 of Great Round Shoal Channel, Offshore Massachusetts (H11079_UTM_B, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Grayscale Shaded-Relief GeoTIFF Image Showing the 3-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11079 in Great Round Shoal Channel, Offshore Massachusetts (H11079_UTM_GSHS.TIF, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

3-m Hill-Shaded Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11079 of Great Round Shoal Channel (H11079_UTM_HS, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

10-m interval contours of smoothed multibeam bathymetry of Massachusetts Bay (MB_10MCTR9X9.SHP, Geographic, NAD83)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

5-m interval contours of smoothed multibeam bathymetry of Massachusetts Bay (MB_5MCTR9X9.SHP, Geographic, NAD83)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

10-m resolution image of shaded relief multibeam bathymetry in Massachusetts Bay, pseudocolored by backscatter intensity (MB_BACKPC10M.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

10-m resolution grid of multibeam bathymetry in Massachusetts Bay (MB_BATHY10M)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

10-m resolution image of shaded relief multibeam bathymetry in Massachusetts Bay, colored by water depth (MB_BATHYCLR10M.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

10-m resolution gray-scale image of multibeam bathymetry in Massachusetts Bay (MB_BATHYGS10M.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

10-m resolution image of shaded relief multibeam bathymetry in Massachusetts Bay (MB_SRELIEF10M.TIF)

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted betwee

30-m Hillshaded relief image produced from swath interferometric, multibeam, and lidar datasets (navd_bath_30m.tif GeoTIFF Image; UTM, Zone 19N, WGS 84)

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geo

30-m Hillshaded relief image produced from swath interferometric, multibeam, and lidar datasets (navd_bath_30m.tif GeoTIFF Image; UTM, Zone 19N, WGS 84)

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geo

30-m Topography and bathymetry grid produced from swath interferometric, multibeam, and lidar datasets (navd_bath_30m Esri binary grid, UTM Zone 19N, WGS84)

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geo

30-m Topography and bathymetry grid produced from swath interferometric, multibeam, and lidar datasets (navd_bath_30m Esri binary grid, UTM Zone 19N, WGS84)

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geo

Bathymetric depth contours at 5 meter intervals of interferometric sonar data collected offshore of Massachusetts within northern Cape Cod Bay (CCB_5MCNTR Esri Shapefile, Geographic, WGS84).

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initia

Color Shaded-Relief GeoTIFF Image Showing the 1-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11076 in Quicks Hole, Elizabeth Islands, MA (H11076_GEO_1MMBES.TIF, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

1-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11076 of Quicks Hole, Massachusetts (H11076_UTM_B, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Continuous terrain model for water circulation studies, Barnegat Bay, New Jersey. (10 meter resolution, 32-bit GeoTIFF, UTM 18, WGS 84)

Water quality in the Barnegat Bay estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. This na

Continuous terrain model for water circulation studies, Barnegat Bay, New Jersey. (10 meter resolution, 32-bit GeoTIFF, UTM 18, WGS 84)

Water quality in the Barnegat Bay estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. This na

2 meter Arc Raster grid of bathymetry acquired along cross lines using a SEA Ltd. SWATHplus-H interferometric sonar within Barnegat Bay New Jersey by the U.S. Geological Survey in 2011, 2012, and 2013 (Esri binary grid, UTM 18N, WGS 84)

Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS) in partnership with the New Jersey Department of Environmental P

4-m Grid of the Combined Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H12009, H12010, H12011, H12015, H12033, H12137, and H12139 Offshore in Block Island Sound (BISOUND_4MGEO, Geographic, WGS84)

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H12009, H12010, H12011, H12015, H12033, H12137, and H12139 Offshore in Block Island Sound (BISOUND_4MMB_GEO.TIF, Geographic, WGS84)

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H12009, H12010, H12011, H12015, H12033, H12137, and H12139 Offshore in Block Island Sound (BISOUND_4MMB_UTM19.TIF, UTM Zone 19, NAD83)

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary

4-m Grid of the Combined Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H12009, H12010, H12011, H12015, H12033, H12137, and H12139 Offshore in Block Island Sound (BISOUND_4MUTM, UTM Zone 19, NAD83)

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_2M_UTM, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_MB2M_UTM.TIF, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_2M_GEO, Geographic, WGS 84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_2M_UTM, UTM Zone 19, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_MB2M_GEO.TIF, Geographic, WGS 84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_MB2M_UTM.TIF, UTM Zone 19, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

4-m Grid of the Combined Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11922, H11995, H11996, H12009, H12010, H12011, H12015, H12023, H12033, H12137, H12139, H12296, H12298, and H12299 Offshore in Rhode Island and Block Island Sounds (RICOMB_4MGEO, Geographic, WGS 84)

Detailed bathymetric maps of the sea floor in Block Island and Rhode Island Sounds are of great interest to the New York, Rhode Island, and Massachusetts research and management communities because of this area's ecological, recreational, and commercial i

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11922, H11995, H11996, H12009, H12010, H12011, H12015, H12023, H12033, H12137, H12139, H12296, H12298, and H12299 Offshore in Rhode Island and Block Island Sounds (RICOMB_4MMB_GEO.TIF, Geographic, WGS 84)

Detailed bathymetric maps of the sea floor in Block Island and Rhode Island Sounds are of great interest to the New York, Rhode Island, and Massachusetts research and management communities because of this area's ecological, recreational, and commercial i

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11922, H11995, H11996, H12009, H12010, H12011, H12015, H12023, H12033, H12137, H12139, H12296, H12298, and H12299 Offshore in Rhode Island and Block Island Sounds (RICOMB_4MMB_UTM19.TIF, UTM Zone 19, NAD 83)

Detailed bathymetric maps of the sea floor in Block Island and Rhode Island Sounds are of great interest to the New York, Rhode Island, and Massachusetts research and management communities because of this area's ecological, recreational, and commercial i

4-m Grid of the Combined Multibeam Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11922, H11995, H11996, H12009, H12010, H12011, H12015, H12023, H12033, H12137, H12139, H12296, H12298, H12299 Offshore in Rhode island and Block Island Sound (RICOMB_4MUTM, UTM Zone 19, NAD 83)

Detailed bathymetric maps of the sea floor in Block Island and Rhode Island Sounds are of great interest to the New York, Rhode Island, and Massachusetts research and management communities because of this area's ecological, recreational, and commercial i

Text files of the navigation logged with HYPACK Software during survey 2009-002-FA conducted in Buzzards Bay and Vineyard Sound by the U.S. Geological Survey offshore of Massachusetts in 2009.

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

Text files of the navigation logged with HYPACK Software during survey 2010-004-FA conducted in Buzzards Bay and Vineyard Sound by the U.S. Geological Survey offshore of Massachusetts in 2010.

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

Text files of the navigation logged with HYPACK Software during survey 2011-004-FA conducted in Buzzards Bay and Vineyard Sound by the U.S. Geological Survey offshore of Massachusetts in 2011.

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

Depth contours derived from swath bathymetry data collected in Buzzards Bay by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts in 2004, 2009, 2010, and 2011 (BB_5mCntr Esri Polyline Shapefile, Geographic, WGS84).

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

5 meter ArcRaster grid of bathymetry data collected in Buzzards Bay by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts in 2004, 2009, 2010, and 2011 (BB_bathy5m, UTM Zone 19N, Esri BINARY GRID)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

5 meter ArcRaster grid of hillshaded bathymetry data collected in Buzzards Bay by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts in 2004, 2009, 2010, and 2011 (BB_hlshd5m, UTM Zone 19N, Esri BINARY GRID)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initi

ASCII Text File of the Original 1-m Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_1M_UTM19NAD83.TXT)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

Color GeoTIFF of the Bathymetry of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_GEO.TIF. Geographic)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

45-m Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_GEO45M, Geographic)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

Grayscale GeoTIFF Image of the Bathymetry of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_UTM.TIF, UTM Zone 19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

45-m ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11321 in Central Rhode Island Sound (H11321_UTM45M, UTM Zone 19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

Color Shaded-Relief GeoTIFF Image Showing the 1-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel, Nantucket Sound (H12007_1MMB_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 1-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel, Nantucket Sound (H12007_1MMB_UTM19.TIF, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

1-m Bathymetric Grid Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel, Nantucket Sound (H12007_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

1-m Bathymetric Grid Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12007 in the Vicinity of Cross Rip Channel, Nantucket Sound (H12007_UTM, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

5-meter bathymetric data collected in 2014 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA (32-bit GeoTIFF, UTM Zone 18N, WGS 84)

The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological Survey cruise was conducted in the summer of 2014 to map the inner continental shelf of the Del

Text files of the navigation logged with HYPACK Software during survey 2014-002-FA conducted along the Delmarva Peninsula, MD and VA by the U.S. Geological Survey in 2014.

The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A U.S. Geological Survey cruise was conducted in the summer of 2014 to map the inner continental shelf of the Del

5-meter interferometric bathymetry data collected in 2015 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA (32-bit GeoTIFF, UTM Zone 18N, WGS 84)

The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy in the fall of 2012. The U.S. Geological Survey conducted cruises during the summers of 2014 and 2015 to map the i

NOS_5m_INT_HS.tif: 5-meter hillshaded-relief image produced from 23 multibeam hydrographic surveys collected off the Delmarva Peninsula by the National Oceanic and Atmospheric Administration's National Ocean Service between 2006 and 2011 (GeoTIFF, UTM Zone 18N, WGS 84)

Between 2006 and 2011 Science Applications International Corporation (SAIC), under contract by the National Oceanic and Atmospheric Administration's (NOAA) National Ocean Service (NOS), collected twenty-three hydrographic surveys totaling over 4100 square

nos_5mint: 5-meter bathymetry grid produced from 23 multibeam hydrographic surveys collected off the Delmarva Peninsula by the National Oceanic and Atmospheric Administration's National Ocean Service between 2006 and 2011 (Esri binary grid, UTM Zone 18N, WGS 84)

Between 2006 and 2011 Science Applications International Corporation (SAIC), under contract by the National Oceanic and Atmospheric Administration's (NOAA) National Ocean Service (NOS), collected twenty-three hydrographic surveys totaling over 4100 square

25-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11346 in the Vicinity of Edgartown Harbor, Massachusetts (H11346_GEO25, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 25-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11346 in the vicinity of Edgartown Harbor, MA (H11346_MB25M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 25-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11346 in the vicinity of Edgartown Harbor, MA (H11346_MB25M_UTM19.TIF, UTM Zone 19, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

25-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11346 in the Vicinity of Edgartown Harbor, Massachusetts (H11346_UTM25, UTM Zone 19, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Text files of the navigation logged by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (Geographic, WGS 84, HYPACK ASCII Text Files)

The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in 2011 using interferometric sonar and high-resolution chirp seismic-reflection systems. T

5-meter acoustic backscatter image collected by Alpine Ocean Seismic Survey, Inc., offshore of Fire Island, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), cond

5-meter acoustic backscatter image collected by Alpine Ocean Seismic Survey, Inc., offshore of The Rockaways to Jones Inlet, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), cond

5-meter swath bathymetric grid collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (UTM Zone 18N, WGS 84, Esri Binary Grid)

The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in 2011 using interferometric sonar and high-resolution chirp seismic-reflection systems. T

10-meter swath bathymetric grid collected by the U.S. Geological Survey offshore of Fire Island, NY in 2011 (UTM Zone 18N, WGS 84, Esri Binary Grid, FI_BATHYGRD)

The U.S. Geological Survey (USGS) mapped approximately 336 square kilometers of the lower shoreface and inner-continental shelf offshore of Fire Island, New York in 2011 using interferometric sonar and high-resolution chirp seismic-reflection systems. T

5-meter swath bathymetric grid collected by Alpine Ocean Seismic Survey, Inc., offshore of Fire Island, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), cond

5-meter swath bathymetric grid collected by Alpine Ocean Seismic Survey, Inc., offshore of The Rockaways to Jones Inlet, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), cond

GeoTIFF image of the shaded-relief bathymetry of the Historic Area Remediation Site in 1996 (3-m resolution, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

GeoTIFF image of the shaded-relief bathymetry of the Historic Area Remediation Site in 1998 (3-m resolution, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

GeoTIFF image of the shaded-relief bathymetry of the Historic Area Remediation Site in 2000 (3-m resolution, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

Bathymetry of the Historic Area Remediation Site in 1996 (3-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

Bathymetry of the Historic Area Remediation Site in 1998 (3-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

Bathymetry of the Historic Area Remediation Site in 2000 (3-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor of the Historic Area Remediation Site (HARS), offshore of New York and New Jersey, were carried out in 1996, 1998, and 2000 using a Simrad EM1000 multibeam echosounder mounted on the Can

Bathymetry of the Hudson Shelf Valley (12-m resolution Esri binary grid and 32-bit GeoTIFF, Mercator, WGS 84)

The Hudson Shelf Valley is the submerged seaward extension of the ancestral Hudson River drainage system and is the largest physiographic feature on the Middle Atlantic continental shelf. The valley begins offshore of New York and New Jersey at about 30-m

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11445 North of Plum Island, New York (H11445_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11445 North of Plum Island, New York (H11445_MB2M_UTM.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11224, H11225, H11250, H11251, H11252, H11361, H11441, H11442, H11445, H11446, H11997, H11999, H12012, and H12013 offshore in eastern Long Island Sound and westernmost Block Island Sound (ELISCOMB_4MBAT_GEO.TIF, Geographic, WGS84)

The USGS, in cooperation with NOAA and the Connecticut DEP, is producing detailed maps of the seafloor in Long Island Sound. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribu

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11224, H11225, H11250, H11251, H11252, H11361, H11441, H11442, H11445, H11446, H11997, H11999, H12012, and H12013 Offshore in Eastern Long Island Sound and Westernmost Block Island Sound (ELISCOMB_4MBAT_UTM18.TIF, UTM Zone 18, NAD83)

The USGS, in cooperation with NOAA and the Connecticut DEP, is producing detailed maps of the seafloor in Long Island Sound. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribu

4-m Grid of the Combined Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11224, H11225, H11250, H11251, H11252, H11361, H11441, H11442, H11445, H11446, H11997, H11999, H12012, and H12013 Offshore in Eastern Long Island Sound and Westernmost Block Island Sound (ELISCOMB_GEO, Geographic, WGS84)

The USGS, in cooperation with NOAA and the Connecticut DEP, is producing detailed maps of the seafloor in Long Island Sound. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribu

4-m Grid of the Combined Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11224, H11225, H11250, H11251, H11252, H11361, H11441, H11442, H11445, H11446, H11997, H11999, H12012, and H12013 Offshore in Eastern Long Island Sound and Westernmost Block Island Sound (ELISCOMB_UTM, UTM Zone 18, NAD83)

The USGS, in cooperation with NOAA and the Connecticut DEP, is producing detailed maps of the seafloor in Long Island Sound. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribu

10-m Interpolated Bathymetric Grid of the Northern Part of National Oceanic and Atmospheric Administration (NOAA) Survey H11044 off Milford, Connecticut (H11044N_10UTM, UTM Zone 18, WGS84)

During 2001 the NOAA Ship RUDE completed charting survey H11044 that covered a roughly 293 km2 area of the sea floor in north-central Long Island Sound, off Milford Connecticut. Although 100 percent coverage was achieved with sidescan sonar for charting p

Color GeoTIFF Image of the 10-m Interpolated Bathymetric Grid of the Northern Part of National Oceanic and Atmospheric Administration (NOAA) Survey H11044 off Milford, Connecticut (H11044N_MB10M_UTM18.TIF, UTM Zone 18, WGS84)

During 2001 the NOAA Ship RUDE completed charting survey H11044 that covered a roughly 293 km2 area of the sea floor in north-central Long Island Sound, off Milford Connecticut. Although 100 percent coverage was achieved with sidescan sonar for charting p

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2M_UTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2MMB_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2MMB_UTM18.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

Color Hill-Shaded GeoTIFF Image Showing the 2-m bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11252 in Eastern Long Island Sound (H11252_2MUTM18_MB.TIF, UTM Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

2-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11252 from Eastern Long Island Sound (H11252U_2M, UTM Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Color Shaded-Relief Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11255 in Long Island Sound (H11255_GEO_2MBATHY.TIF, Geographic)

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat dive

Color Hill-Shaded GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11361 in Eastern Long Island Sound (H11361_2MUTM18_MB.TIF, UTM Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

2-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11361 from Eastern Long Island Sound (H11361U_2M, UTM Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11445 in Long Island Sound, North of Plum Island, New York (H11445_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11445 in Long Island Sound, North of Plum Island, New York (H11445_2M_UTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11446 in Long Island Sound, North of Orient Point, New York (H11446_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11446 in Long Island Sound, North of Orient Point, New York (H11446_2M_UTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11446 North of Orient Point, New York (H11446_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11446 North of Orient Point, New York (H11446_MB2M_UTM.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2M_UTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2MMB_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2MMB_UTM18.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charti

ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11999 in Long Island Sound, North of Duck Pond Point, New York (H11999_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11999 in Long Island Sound, North of Duck Pond Point, New York (H11999_2M_UTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11999 North of Duck Pond Point, New York (H11999_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11999 North of Duck Pond Point, New York (H11999_MB2M_UTM.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally col

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Northeastern Long Island Sound (H12013_2MUTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and Environmental Protection (CT DEEP), is producing detailed geologic maps of the coastal sea floor

Combined 2-m and Interpolated 10-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Northeastern Long Island Sound (H12013_INTGEO, Geographic, WGS-84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and Environmental Protection (CT DEEP), is producing detailed geologic maps of the coastal sea floor

Combined 2-m and Interpolated 10-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12013 Off the Entrance to the Connecticut River in Northeastern Long Island Sound (H12013_INTUTM, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and Environmental Protection (CT DEEP), is producing detailed geologic maps of the coastal sea floor

1 m digital bathymetric contours from NOAA charts as organized for the Long Island Sound Study Geographic Information System (LISSGIS) library (LISBATHY.SHP)

The Long Island Sound Study (LISS) compiled data from a number of different sources, integrated new data, and assembled a comprehensive spatial database for areas of the States of Connecticut, New York, and portions of Rhode Island which border Long Islan

4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11442 and H11225 offshore of Niantic, Connecticut (NIANTIC_GEO, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11442 and H11225 Offshore of Niantic, CT (NIANTIC_MBLIDAR_GEO.TIF, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441, H11442, H11224, and H11225 offshore of New London and Niantic, Connecticut (NLNB_GEO, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11442, H11441, H11224, and H11225 Offshore of New London and Niantic, CT (NLNB_MBLIDAR_GEO.TIF, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441, H11442, H11224, and H11225 offshore of New London and Niantic, Connecticut (NLNB_UTM, UTM Zone 18, NAD83)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

4-m Grid of Combined Multibeam and LIDAR Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441 and H11224 offshore of New London, Connecticut (NLONDON_GEO, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

Color Shaded-Relief GeoTIFF Image Showing the Combined 4-m Multibeam and LIDAR Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11441 and H11224 Offshore of New London, CT (NLONDON_MBLIDAR_GEO.TIF, Geographic, WGS84)

Nearshore areas within Long Island Sound are of great interest to the Connecticut and New York research and management communities because of their ecological, recreational, and commercial importance. However, although advances in multibeam echosounder t

5-meter bathymetric data collected in 2013 by the U.S. Geological Survey south of Martha's Vineyard and north of Nantucket, Massachusetts (32-bit floating-point bathymetry GeoTIFF and depth-colored hillshaded GeoTIFF, UTM Zone 19N, WGS 84)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Text files of the navigation logged with HYPACK Software during field activity 2013-003-FA in 2013 by the U.S. Geological Survey south of Martha's Vineyard and north of Nantucket, Massachusetts

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

1-m Bathymetric ArcRaster Grid of NOAA Survey H11310 in Central Narragansett Bay (H11310_UTM19, UTM Zone 19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our present

Color Hill-Shaded GeoTIFF Image Showing the 2-m bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11250 in Eastern Long Island Sound (H11250_GEO_2MMBES.TIF, Geographic)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

2-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11250 of Eastern Long Island Sound (H11250U, UTM, Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Raw navigation files logged with HYPACK Survey software during a geophysical survey conducted by the USGS within Red Brook Harbor, MA, 2009

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initia

Esri Binary floating point GRID containing bathymetry from interferometric sonar data collected by the USGS within Red Brook Harbor, MA, 2009 (rb_bathy_1m, 1-meter cell size)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective o

Esri Binary floating point GRID containing bathymetry from interferometric sonar data collected by the USGS within Red Brook Harbor, MA, 2009 (rb_bathy_5m, 5-meter cell size)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective o

4-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in UTM Zone 19 (H11320_UTM_4M)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

4-m Hill-Shaded Bathymetric GeoTIFF Image of National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in UTM Zone 19 (H11320_UTM_4M.TIF)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound West of Gay Head, Massachusetts (H11922_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound West of Gay Head, Massachusetts (H11922_2M_UTM, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound (H11922_2MMB_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11922 in Rhode Island Sound (H11922_2MMB_UTM19.TIF, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

ESRI Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_2M_UTM, UTM Xone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11995 in Rhode Island Sound (H11995_MB2M_UTM.TIF, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_2M_GEO, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_2M_UTM, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_MB2M_GEO.TIF, Geographic, WGS84)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11996 in Rhode Island Sound (H11996_MB2M_UTM.TIF, UTM Zone 19, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fun

Grid of the sea-floor bathymetry offshore of Fire Island Inlet, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of

Grid of the sea-floor bathymetry southwest of Montauk Point, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of

Grid of the sea-floor bathymetry offshore of Moriches Inlet, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of

Grid of the sea-floor bathymetry offshore of Shinnecock Inlet, New York, in 1998 (3-m resolution Esri binary grid, Mercator, WGS 84)

Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of

Bathymetric depth contours at 5 meter intervals derived from interferometric sonar data collected offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_5MCNTR_V2, Esri Shapefile, Geographic, WGS84).

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initiate

10-m Bathymetry grid of Vineyard and western Nantucket Sounds produced from lead-line and single-beam sonar soundings, swath-interferometric, multibeam, and lidar datasets (Esri binary grid, UTM Zone 19N, WGS84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-b

10-m Hillshaded-relief image of Vineyard and western Nantucket Sounds produced from lead-line and single-beam sonar soundings, swath-interferometric, multibeam, and lidar datasets (TIFF image, UTM Zone 19N, WGS84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and Western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-b

Hillshaded-relief image produced from the late Wisconsinan to early Holocene regressive unconformity (Ur) beneath Vineyard and western Nantucket Sounds, Massachusetts (GeoTIFF Image; UTM, Zone 19N, WGS 84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-b

Revised 5 meter ArcRaster grid of bathymetry acquired using a SEA Ltd. SWATHplus-M interferometric sonar offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_BATH5M_V2, Esri BINARY GRID, UTM 19N, WGS84).

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initiate

Interpolated swath bathymetry collected by the U.S. Geological Survey - Woods Hole Coastal and Marine Science Center surrounding the nearshore of the Elizabeth Islands, MA, 2010 (ei_2hm_fill, ESRI grd)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Interpolated swath bathymetry hillshaded image collected by the U.S. Geological Survey - Woods Hole Coastal and Marine Science Center surrounding the nearshore of the Elizabeth Islands, MA, 2010 (ei_2hm_fillhs.tif, GeoTIFF)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Uninterpolated swath bathymetry collected by the U.S. Geological Survey - Woods Hole Coastal and Marine Science Center surrounding the nearshore of the Elizabeth Islands, MA, 2010 (ei_2hm_nofill, ESRI grd)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Interpolated swath bathymetry shaded relief image collected by the U.S. Geological Survey - Woods Hole Coastal and Marine Science Center surrounding the nearshore of the Elizabeth Islands, MA, 2010 (ei_2hm_shdrlf_image_dd.tif, GeoTIFF)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Interpolated swath bathymetry contours collected by the U.S. Geological Survey - Woods Hole Coastal and Marine Science Center surrounding the nearshore of the Elizabeth Islands, MA, 2010 (ei_contours_1m_dd, ESRI polyline shapefile)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Color GeoTIFF Image of the Bathymetry of National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322_UTM.TIF, UTM 19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

45-m ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322_UTM45M, UTM19)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

0.5-m Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 of the Sea Floor in the Vicinity of Woods Hole, Massachusetts (H11077_0.5MUTM19_XYZ.TXT, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_05GEO, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

0.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_05UTM, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

1.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_1-5GEO, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

1.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_1-5UTM, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 0.5-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in Woods Hole, MA (H11077_MB0.5M_GEO.TIF, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 0.5-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in Woods Hole, MA (H11077_MB0.5M_UTM19.TIF, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 1.5-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in Woods Hole, MA (H11077_MB1.5M_GEO.TIF, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color Shaded-Relief GeoTIFF Image Showing the 1.5-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in Woods Hole, MA (H11077_MB1.5M_UTM19.TIF, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, orig

Color-hillshade relief GeoTIFF image of the Potomac River/Chesapeake Bay Area (CLRHSHD_POTO.TIF, UTM, Zone 18, NAD83)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Color-hillshade relief GeoTIFF image of the Potomac River/Chesapeake Bay Area (CLRHSHD_POTO_GEO.TIF, Geographic, NAD83)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Processed Continuous Resistivity Profile (CRP) Data Below the Sediment Water Interface From the Potomac River/Chesapeake Bay collected from Sept. 6, 2006 to Sept. 8, 2006 on USGS Cruise 06018 (MRG2006_ALLZYZ.SHP)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Navigation and Bathymetry Points of Ship Position During Continuous Resistivity Profile Data Collection in the Potomac River/Chesapeake Bay on Sept. 6, 2006 on USGS Cruise 06018 (RESGPSPNTS_JD249.SHP)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Navigation, Bathymetry and Temperature Points at the Ship Position During Continuous Resistivity Profile Data Collection in the Potomac River/Chesapeake Bay on Sept. 7, 2006 on USGS Cruise 06018 (RESGPSPNTS_JD250.SHP)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Navigation, Bathymetry and Temperature Point at the Ship Position During Continuous Resistivity Profile Data Collection in the Potomac River/Chesapeake Bay on Sept. 8, 2006 on USGS Cruise 06018 (RESGPSPNTS_JD251.SHP)

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Processed Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 6, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 6, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Processed Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 7, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 7, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Processed Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 8, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Potomac River/Chesapeake Bay on Sept. 8, 2006

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

SHIP NAVIGATION: ANSI Text File of the Navigation and Bathymetry Recorded by the Ship's Differential Global Positioning System (DGPS) in the Potomac River/Chesapeake Bay from Sept. 6 to Sept. 8, 2006 - USGS Cruise 06018

In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource man

40 meter ESRI binary grid of single beam and swath bathymetry of inner continental shelf north of Cape Hatteras, NC to Virginia border (nhatt, UTM Zone 18N, WGS 84)

The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner conti

Structure grid of the depth to the Pliocene surface (Q0), inner shelf and back-barrier from Virginia border to Cape Lookout, North Carolina (q0depth,ESRI binary grid, 200 m cell size, UTM Zone 18N, WGS 84)

The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner conti

40 meter ESRI binary grid of swath bathymetry of inner continental shelf south of Cape Hatteras, NC to Cape Lookout, NC (shatt, UTM Zone 18N, WGS84)

The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner conti

10 meter ESRI binary grid of nearshore bathymetry data collected at Duck, NC (vims_2002, UTM Zone 18N, WGS 84)

The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner conti

4 meter ESRI binary grid of nearshore bathymetry data collected south of Oregon Inlet (vims_2005, UTM Zone18N, WGS 84)

The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner conti

Bathymetry within the inner shelf of Long Bay, South Carolina collected by the USGS, 1999-2003 (BATHY, Grid)

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Pre

Hillshade of Swath Bathymetry collected by the USGS offshore of the Grand Strand, South Carolina, 1999-2003 (BATHY_HILLSH, grid)

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Pre

Bathymetric Contours within the inner shelf of Long Bay, South Carolina (CON_1M, 1 meter interval: Polyline shapefile)

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Pre

HYPACK ASCII navigation files collected by the U.S. Geological Survey in the Madison Swanson and Steamboat Lumps Marine Protected Areas, Gulf of Mexico in 2000 (Geographic, WGS 84)

The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located on the Florida shelf edge in the northeastern Gulf of Mexico in 2000 using sidescan sonar

Text files of the Wide Area Augmentation System (WAAS) navigation collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, HYPACK ASCII Text Files)

In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once established, variable leaf water-milfoil forms dense beds that can alter the limnologic character

1-meter swath bathymetric grid collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (UTM Zone 19N, WGS 84, Esri Binary Grid, WINNI_BATHY)

In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once established, variable leaf water-milfoil forms dense beds that can alter the limnologic character

Processed continuous resistivity profiling data collected in Greenwich Bay, Rhode Island, on May 14, 2009, on U.S. Geological Survey Field Activity 2009-021-FA

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Raw continuous resistivity profiling data collected in Greenwich Bay, Rhode Island, on May 14, 2009, on U.S. Geological Survey Field Activity 2009-021-FA

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Processed continuous resistivity profiling data collected in Greenwich Bay, Rhode Island, on May 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Raw continuous resistivity profiling data collected in Greenwich Bay, Rhode Island, on May 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Point shapefile of processed continuous resistivity profiling data below the sediment water interface collected in Greenwich Bay, Rhode Island, on May 14, 2009, on U.S. Geological Survey Field Activity 2009-021-FA (Geographic, WGS84)

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Point shapefile of processed continuous resistivity profiling data below the sediment water interface collected in Greenwich Bay, Rhode Island, on May 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA (Geographic, WGS84)

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

RES2DINV format continuous resistivity profiling data collected in Greenwich Bay, Rhode Island, May 14 and 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Polyline shapefile of ship tracklines along which continuous resistivity profiling data were collected in Greenwich Bay, Rhode Island, May 14 and 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA (Geographic, WGS84)

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

Point shapefile of navigation, water depth, and water temperature at ship positions during continuous resistivity profiling data collection in Greenwich Bay, Rhode Island, May 14 and 15, 2009, on U.S. Geological Survey Field Activity 2009-021-FA (Geographic, WGS84)

As part of a larger investigation to understand groundwater-surface water interactions in Greenwich Bay, Rhode Island, a geophysical survey was conducted from a small research boat on 14-15 May 2009. The specific research objective was to gain an improved

2-meter bathymetric data collected in 2012 by the U.S. Geological Survey in the Connecticut River during field activity 2012-024-FA (bathymetry and depth-colored hillshade relief GeoTIFFs)

A geophysical and geological survey was conducted at the mouth of the Connecticut River from Old Saybrook to Essex, Connecticut, in September 2012. Approximately 230 linear kilometers of digital Chirp subbottom (seismic-reflection) and 234-kilohertz inter

Text files of the navigation logged with HYPACK Software during field activity 2012-024-FA in 2012 by the U.S. Geological Survey in the Connecticut River.

A geophysical and geological survey was conducted at the mouth of the Connecticut River from Old Saybrook to Essex, Connecticut, in September 2012. Approximately 230 linear kilometers of digital Chirp subbottom (seismic-reflection) and 234-kilohertz inter

Text files of the navigation logged with during the sampling survey of field activity 2012-024-FA in 2012 by the U.S. Geological Survey in the Connecticut River.

A geophysical and geological survey was conducted at the mouth of the Connecticut River from Old Saybrook to Essex, Connecticut, in September 2012. Approximately 230 linear kilometers of digital Chirp subbottom (seismic-reflection) and 234-kilohertz inter

Text files of the navigation logged by HYPACK during the U.S. Geological Survey offshore of Fire Island, NY in 2014 (Geographic, WGS 84, HYPACK ASCII Text Files)

The U.S. Geological Survey (USGS) conducted a geophysical and sampling survey in October 2014 that focused on a series of shoreface-attached ridges offshore of western Fire Island, NY. Seismic-reflection data, surficial grab samples and bottom photographs

ESRI Binary 75-m Grid of the Sea floor of Apalachicola Bay Excluding Manmade features based on Swath Bathymetry and Seismic-Reflection Profiles Collected in 2006 from U.S. Geological Survey Cruise 06001 (APALACH_SF, UTM, Zone 16, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

25m Hillshaded Bathymetric ArcRaster Grid of Apalachicola Bay and St. George Sound, FL (APBAY25HS)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

2 meter ArcRaster grid of the Swath Bathymetry of Apalachicola Bay, Florida (APBAY2MBATH)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

25m Bathymetric ArcRaster Grid of Apalachicola Bay and St. George Sound, Florida (APBAYBATH25M)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

Point Shapefile of Interpreted Base of Mud Isopach Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (BASEMUD_GEOG.SHP, Geographic, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

ESRI Binary 75-m Grid of the Base of the Mud Depth Surface of Apalachicola Bay based on Seismic-Reflection Profiles Collected in 2006 from U.S. Geological Survey Cruise 06001 (BASEMUD_SURF, UTM, Zone 16, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

ESRI Binary 75-m Grid of the Base of the Mud Isopach of Apalachicola Bay based on Seismic-Reflection Profiles Collected in 2006 from U.S. Geological Survey Cruise 06001 (BASEMUDISO, UTM, Zone 16, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

Point Shapefile of the Interpreted Flooding Surface Isopach Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (FLOODISO_GEOG.SHP, Geographic, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

ESRI Binary 75-m Grid of the Flooding Surface in Apalachicola Bay based on Seismic-Reflection Profiles Collected in 2006 from U.S. Geological Survey Cruise 06001 (FLOODSURF, UTM, Zone 16, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

ESRI Binary 75-m Grid of the Lowstand Surface in Apalachicola Bay based on Seismic-Reflection Profiles Collected in 2006 from U.S. Geological Survey Cruise 06001 (LOWFILCLIP, UTM, Zone 16, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

Point Shapefile of Interpreted Lowstand Horizon Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (LOWSTAND_GEOG.SHP, Geographic, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

Point Shapefile of the Interpreted Seafloor Horizon Based on Seismic-Reflection Profiles Collected in Apalachicola Bay in 2006 from U.S. Geological Survey Cruise 06001 (SEAFLOOR_GEOG.SHP, Geographic, WGS84)

Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions and the late Holocene evolution of the bay. A su

2 meter ArcRaster Grid of Swath Bathymetry of St. George Sound, Florida (STG2MBath)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

Location of radiocarbon age dates sampled from vibracores collected by the U.S. Geological Survey within Apalachicola Bay, Florida, 2007 (APP-07_AgeDates, points)

In 2007, the U.S. Geological Survey collected 24 vibracores within Apalachicola Bay, Florida. The vibracores were collected using a Rossfelder electric percussive (P-3) vibracore system during a cruise on the R/V Gilbert. Selection of the core sites was b

Location and analysis information of vibracores collected by the U.S. Geological Survey within Apalachicola Bay, Florida, 2007 (APP-07_CoreLocations, points)

In 2007, the U.S. Geological Survey collected 24 vibracores within Apalachicola Bay, Florida. The vibracores were collected using a Rossfelder percussive (P-3) electric vibracore system during a cruise on the R/V Gilbert. Selection of the core sites was b

Location and analysis of grain-size data sampled from vibracores collected by the U.S. Geological Survey within Apalachicola Bay, Florida, 2007 (APP-07_GrainSize, points)

In 2007, the U.S. Geological Survey collected 24 vibracores within Apalachicola Bay, Florida. The vibracores were collected using a Rossfelder electric percussive (P-3) vibracore system during a cruise on the R/V Gilbert. Selection of the core sites was b

Location and analysis of microfossil samples from vibracores collected by the U.S. Geological Survey within Apalachicola Bay, Florida, 2007 (APP-07_Microfossils, points)

In 2007, the U.S. Geological Survey collected 24 vibracores within Apalachicola Bay, Florida. The vibracores were collected using a Rossfelder electric percussive (P-3) vibracore system during a cruise on the R/V Gilbert. Selection of the core sites was b

Bathymetric data collected by the U.S. Geological Survey offshore of the Chandeleur Islands, LA, 2006-2007 (BATHY_GRD.ASC, ESRI ASCII GRID)

In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic mapping to characterize the sea floor and shallow subsurface stratigraphy offshore of the Cha

Hillshaded relief produced from bathymetric data collected by the U.S. Geological Survey offshore of the Chandeleur Islands, LA, 2006-2007 (BATHY_HILLSH.ASC, ESRI ASCII GRID)

In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic mapping to characterize the sea floor and shallow subsurface stratigraphy offshore of the Cha

1-meter contours produced from bathymetric data collected by the U.S. Geological Survey offshore of the Chandeleur Islands, LA, 2006-2007 (cont_1m, polyline)

In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic mapping to characterize the sea floor and shallow subsurface stratigraphy offshore of the Cha

Pulley Ridge Swath Bathymetry Grid - filtered (ALLPR_FILCROP.GRD, UTM 17N, NAD83)

Pulley Ridge is a series of drowned barrier islands that extends almost 200 km in 60-100 m water depths. This drowned ridge is located on the Florida Platform in the southeastern Gulf of Mexico about 250 km west of Cape Sable, Florida. This barrier island

Contoured Bathymetry for Lake Maurepas, Louisiana (MAURCONT)

This is the contoured bathymetry for Lake Maurepas created for USGS Professional Paper 1634 by Laura Hayes using Vertical Mapper.

Contoured Bathymetry for Lake Pontchartrain, Louisiana (PONTCONT)

This is the contoured bathymetry for Lake Pontchartrain created for USGS Professional Paper 1634 by Laura Hayes using Vertical Mapper.

Surface Representing the Floor of Lake Mead and the surrounding area: UTM Projection 10m cellsize

Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona. It was impounded in 1935 by the construction of Hoover Dam and is one of a series of multi-purpose reservoirs on the Colorado River.

Sectional Acoustic Backscatter Image (Falsecolor) of the Puerto Rico Trench in a Projected Coordinate System (utm19_30m_mosaic)

The Puerto Rico Trench is a tectonic plate boundary where the North American Plate slides by and descends under the Caribbean Plate. Although much of the trench lies within the United States of America's Exclusive Economic Zone (EEZ), surprisingly few su

1995 National Assessment of Oil and Gas Resources of the United States: Bathymetry (ATMX_BAT.SHP)

This GIS overlay is a component of the U.S Geological Survey, Woods Hole Science Center's, Gulf of Mexico GIS database. The Gulf of Mexico GIS database is intended to organize and display USGS held data and provide on-line (WWW) access to the data and/or

Interpolated 3-m bathymetric grid of NOAA survey H11043 off Branford, Connecticut (H11043_BATHY3)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Interpolated 5-m bathymetric grid of NOAA survey H11044 off Milford, Connecticut (H11044_BATHY5)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Interpolated 5-m bathymetric grid of NOAA survey H11045 off Bridgeport, Connecticut (H11045_BATHY5)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Nahant to Gloucester, Massachusets Depth to Bedrock (bedrock_depth)

These data are high-resolution seismic reflection profile data of the seafloor offshore of Massachusetts, from Nahant to Gloucester. Approximately 1,175 kms of seismic reflection profile data were collected using a Knudsen 320b chirp system Data were pr

Nahant to Gloucester, Massachusetts Maximum Likelihood Bottom Classification (mlclass5)

These data are high-resolution maximum likelihood classification of the seafloor offshore of Massachusetts, from Nahant to Gloucester. Approximately 127 km² of the inner shelf were mapped in the nearshore region between the 10m and 40-m isobath.

Nahant to Gloucester, Massachusetts Swath Bathymetry of the South Essex Survey Area (se_5mbath)

These data are high-resolution bathymetric soundings of the seafloor offshore of Massachusetts, from Nahant to Gloucester. Approximately 127 km² of the inner shelf were mapped in the nearshore region between the 10m and 40-m isobath.

Nahant to Gloucester, Massachusetts Bathymetric Slope in degrees (slopedeg_fm3)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program. Woods Hole Science Center. Project data were collected during two se

Multibeam Bathymetry 2 meter/pixel of Boston Harbor and Approaches (bh_2mmbbath)

These data are high-resolution bathymetric measurements of the seafloor from Boston Harbor and the harbor approaches, Massachusetts. Approximately 170 km² of sidescan sonar and bathymetric data were collected by the National Oceanic and Atmospheric Admi

Hillshade of Multibeam Bathymetry 2 meter/pixel of Boston Harbor and Approaches (bh_2mmbhsf)

These data are high-resolution bathymetric measurements of the seafloor from Boston Harbor and the harbor approaches, Massachusetts. Approximately 170 km² of sidescan sonar and bathymetric data were collected by the National Oceanic and Atmospheric Admi

2-m Bathymetric Grid of NOAA Survey H11255 in Long Island Sound (BATHY2M_UTM18, UTM Zone 18)

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat dive

2-m Bathymetry from the NOAA Survey H11255 of the Sea Floor in Southeastern Long Island Sound (H11255_2MUTM18_XYZ.TXT, UTM Zone 18)

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat dive

ASCII text file of the Original 1-m Gridded Bathymetry from NOAA Survey H11310 in Central Narragansett Bay (H11310_1M_UTM19NAD83.TXT)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Association (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our present

2m GeoTIFF of Swath Bathymetry of Apalachicola Bay, Florida (APBAY2M_BATH.tif)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

2m GeoTIFF image of Swath Bathymetry of St. George Sound, Florida (STGSND2M_BATH.TIF)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR

ASCII Text File of the Original 1-m Bathymetry from National Oceanic and Atmospheric Administration (NOAA) Survey H11320 in Rhode Island Sound (H11320_1M_UTM19NAD83.TXT)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

Composite 2-m Bathymetric ArcRaster Grid of National Oceanic and Atmospheric Administration (NOAA) Surveys H11252 and H11361 from Eastern Long Island Sound (COMP2M_UTM, UTM Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

2-m ASCII Bathymetric Grid from National Oceanic and Atmospheric Administration (NOAA) Survey H11361 of the Sea Floor in Eastern Long Island Sound (H11361_2MUTM18_XYZ.TXT, UTM Zone18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Color Hill-Shaded GeoTIFF Image Showing the Composite 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Surveys H11252 and H11361 in Eastern Long Island Sound (SMR_COMP_2MUTM.TIF, UTM, Zone 18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

Composite 2-m ASCII Bathymetric grid from National Oceanic and Atmospheric Administration (NOAA) Surveys H11252 and h11361 of the Sea Floor in Eastern Long Island Sound (SMR_COMP_2MUTM_XYZ.TXT, UTM Zone18)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast e

ASCII Text File of the Original 1-m Bathymetry (Partial Coverage) from National Oceanic and Atmospheric Administration (NOAA) Survey H11322 in Western Rhode Island Sound (H11322_1M_UTM19NAD83.TXT)

The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our prese

Text files of the navigation logged with HYPACK Software during surveys 06012 and 07001 conducted by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_HYPACK_NAV)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the prim

Text files of the navigation logged with HYPACK Software during surveys 07002, and 08002 conducted by the U.S. Geological Survey offshore of Massachusetts within northern Cape Cod Bay (CCB_Hypack_Nav)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initia

5-meter bathymetric contours generated from swath bathymetric data collected by the U.S. Geological Survey within the St. Clair River between Michigan and Ontario, Canada, 2008 (ESRI VECTOR SHAPEFILE, CON_5M)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Text files of the Differential Global Positioning System (DGPS) and Real-Time Kinematic (RTK) navigation logged with HYPACK software by the U.S. Geological Survey during Cruise 08016 within the St. Clair River between Michigan and Ontario, Canada, 2008

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port H

Modified Processed Continous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 15 and May 16 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Processed Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 15, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients th

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 15, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients th

Processed Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 16, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 16, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients th

Processed Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 17, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Raw and Modified Raw Continuous Resistivity Profile Data Collected in the Corsica River Estuary, Maryland on May 17, 2007 on USGS Cruise 07005

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients th

Ship Trackline along which Continuous Resistivity Profile Data were Collected in the Corsica River Estuary, Maryland on May 15, 2007 on USGS Cruise 07005 (RESGPSLNS_JD135.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Ship Trackline along which Continuous Resistivity Profile Data were Collected in the Corsica River Estuary, Maryland on May 16, 2007 on USGS Cruise 07005 (RESGPSLNS_JD136.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Ship Trackline along which Continuous Resistivity Profile Data were Collected in the Corsica River Estuary, Maryland on May 17, 2007 on USGS Cruise 07005 (RESGPSLNS_JD137.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Navigation and Bathymetry Points of Ship Position During Continuous Resistivity Profile Data Collection in the Corsica River Estuary, Maryland on May 15, 2007 on USGS Cruise 07005 (RESGPSPNTS_JD135.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Navigation and Bathymetry Points of Ship Position During Continuous Resistivity Profile Data Collection in the Corsica River Estuary, Maryland on May 16, 2007 on USGS Cruise 07005 (RESGPSPNTS_JD136.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

Navigation and Bathymetry Points of Ship Position During Continuous Resistivity Profile Data Collection in the Corsica River Estuary, Maryland on May 17, 2007 on USGS Cruise 07005 f(RESGPSPNTS_JD137.SHP)

Submarine groundwater discharge (SGD) into Maryland's Corsica River Estuary was investigated as part of a larger study to determine the importance of nutrient delivery to Chesapeake Bay via this pathway. Resource managers are concerned about nutrients tha

1-meter contours produced from swath bathymetry collected by the U.S. Geological Survey in Woods Hole, MA and St. Petersburg, FL offshore of the Gulf Islands, MS, 2010 (ESRI polyline shapefile, tmunro_1m_bathycontours_MLLW.shp)

In 2010, the U.S. Geological Survey in Woods Hole, MA and St. Petersburg, FL, in partnership with the U.S. Army Corps of Engineers, Mobile District conducted geologic mapping to characterize the seafloor and shallow subsurface stratigraphy offshore of the

Swath bathymetry collected by the U.S. Geological Survey in Woods Hole, MA and St. Petersburg, FL offshore of the Gulf Islands, MS, 2010 (ESRI binary grid, tmunro_50m)

In 2010, the U.S. Geological Survey in Woods Hole, MA and St. Petersburg, FL, in partnership with the U.S. Army Corps of Engineers, Mobile District conducted geologic mapping to characterize the seafloor and shallow subsurface stratigraphy offshore of the

Raw continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 12, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Processed continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Raw and modified raw continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

RES2DINV format continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Processed continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 14, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Raw and modified raw continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 14, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

RES2DINV format continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 14, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Processed continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 15, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Raw and modified raw continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 15, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

RES2DINV format continuous resistivity profiling data collected in the Indian River Bay, Delaware, on April 15, 2010, on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Raw HYPACK navigation logged during U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware, in April 2010

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Esri Binary grid of the bathymetry of Indian River Bay, Delaware, generated from fathometer data acquired in April 2010 during U.S. Geological Survey Field Activity 2010-006-FA (IRB_BATHY, UTM, Zone 18, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of navigation and best depth values at ship positions during continuous resistivity profiling data collection in the Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (JD103GPS_BESTDEPTH.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Parsed HYPACK navigation from April 13, 2010 of U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware (JD103HYPACK.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of navigation and best depth values at ship positions during continuous resistivity profiling data collection in the Indian River Bay, Delaware, on April 14, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (JD104GPS_BESTDEPTH.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Parsed HYPACK navigation from April 14, 2010 of U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware (JD104HYPACK.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of navigation and best depth values at ship positions during continuous resistivity profiling data collection in the Indian River Bay, Delaware, on April 15, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (JD105GPS_BESTDEPTH.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Parsed HYPACK navigation from April 15, 2010 of U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware (JD105HYPACK.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of processed continuous resistivity profiling data below the sediment water interface collected in the Indian River Bay, Delaware, on April 13, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (MRGAPR13_ALLXYZRES.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of processed continuous resistivity profiling data below the sediment water interface collected in the Indian River Bay, Delaware, on April 14, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (MRGAPR14_ALLXYZRES.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of processed continuous resistivity profiling data below the sediment water interface collected in the Indian River Bay, Delaware, on April 15, 2010, on U.S. Geological Survey Field Activity 2010-006-FA (MRGAPR15_ALLXYZRES.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Point shapefile of continuous resistivity profiling data below the sediment water interface processed with a varying water conductivity value from Indian River Bay, Delaware, on U.S. Geological Survey Field Activity 2010-006-FA in April 2010 (MRGWCON_ALLXYZRES.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Continuous resistivity profiling data processed with multiple water conductivity values from Indian River Bay, Delaware, during April 2010 on U.S. Geological Survey Field Activity 2010-006-FA

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicini

Processed continuous resistivity profile (CRP) data below the sediment water interface from Great South Bay on Long Island, New York, collected by the U.S. Geological Survey from May 19 to May 22, 2008 (ALLGSB_RESBSED_MAY08.SHP)

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile (CRP) data below the sediment water interface from Great South Bay on Long Island, New York, collected by the U.S. Geological Survey from Sept. 22 to Sept. 25, 2008 (ALLGSB_RESBSED_SEPT08.SHP)

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 19, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 19, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 19, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 20, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 20, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 20, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 21, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 21, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 21, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on May 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Navigation, bathymetry, and water temperature points of ship position during continuous resistivity profile data collection by the U.S. Geological Survey in Great South Bay on Long Island, New York, in May and September 2008 (RESGPSPNTS_GSBAY.SHP)

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw and modified raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 22, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 23, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw and modified raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 23, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 23, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 24, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw and modified raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 24, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 24, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 25, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Raw and modified raw continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 25, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

RES2DINV format continuous resistivity profile data collected by the U.S. Geological Survey in Great South Bay on Long Island, New York, on Sept. 25, 2008

An investigation of submarine aquifers adjacent to the Fire Island National Seashore and Long Island, New York, was conducted to assess the importance of submarine groundwater discharge (SGD) as a potential nonpoint source of nitrogen delivery to Great So

Processed continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 12, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 12, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Processed continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 13, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 13, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Processed continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 14, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 14, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Processed continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 15, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 15, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

RES2DINV format continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 15, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Processed continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 16, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 16, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

RES2DINV format continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 16, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Processed continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 17, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw and modified raw continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 17, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

RES2DINV format continuous resistivity profile data collected in Manhasset Bay on Long Island, New York on May 17, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Navigation, bathymetry, and water temperature points of ship position during continuous resistivity profile data collection in Manhasset Bay on Long Island, New York in May, 2008 (RESGPSPNTS_MANHASSET.SHP)

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Navigation, bathymetry, and water temperature points of ship position during continuous resistivity profile data collection in Northport Harbor on Long Island, New York in May, 2008 (RESGPSPNTS_NORTHPORT.SHP)

An investigation of coastal groundwater systems was performed along the North Shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The

Raw HYPACK navigation logs (text) collected by the U.S. Geological Survey from Muskeget Channel, MA, 2010 (2010-072-FA_hypack)

These data were collected in a collaboration between the Woods Hole Oceanographic Institution and the U.S. Geological Survey (USGS). The primary objective of this program was to collect baseline bathymetry for Muskeget Channel, Massachusetts, and identify

Swath bathymetry gridded data (survey 1) collected by the U.S. Geological Survey surrounding Muskeget Channel, MA, October 2010 (Esri grid, UTM Zone 19N, WGS 84, 2-m resolution, survey1_2m)

These data were collected in a collaboration between the Woods Hole Oceanographic Institution and the U.S. Geological Survey (USGS). The primary objective of this program was to collect baseline bathymetry for Muskeget Channel, Massachusetts, and identify

Swath bathymetry gridded data (survey 2) collected by the U.S. Geological Survey surrounding Muskeget Channel, MA, November 2010 (Esri grid, UTM Zone 19N, WGS 84, 2-m resolution, survey2_2m)

These data were collected in a collaboration between the Woods Hole Oceanographic Institution and the U.S. Geological Survey (USGS). The primary objective of this program was to collect baseline bathymetry for Muskeget Channel, Massachusetts, and identify

Raw HYPACK navigation logs (text) collected by the U.S. Geological Survey from Middle Ground, MA, 2007 (2007-039-FA_hypack)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Raw HYPACK navigation logs (text) collected by the U.S. Geological Survey from Middle Ground, MA, September 22, 2009 (2009-068-FA_hypack)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Raw HYPACK navigation logs (text) collected by the U.S. Geological Survey in Vineyard Sound, MA, January 5, 2011 (2010-100-FA_hypack)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Raw HYPACK navigation logs (text) collected by the U.S. Geological Survey from sand shoals of Vineyard Sound and the eastern Elizabeth Islands, MA, August 2011 (2011-013-FA_hypack)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Interpolated swath bathymetry contours collected by the U.S. Geological Survey surrounding the nearshore of the Elizabeth Islands and sand shoals of Vineyard Sound, MA, 2007-2011 (Esri polyline shapefile, Geographic, WGS 84, All_contour5m.shp)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Composite swath bathymetry gridded data collected by the U.S. Geological Survey surrounding the eastern Elizabeth Islands and northern Martha's Vineyard, MA, 2011 (Esri grid, UTM Zone19 N, WGS 84, 5-m resolution, allswathi_5m)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Swath bathymetry gridded data collected by the U.S. Geological Survey surrounding the eastern Elizabeth Islands and northern Martha's Vineyard, MA, 2011 (Esri grid, UTM Zone 19N, WGS 84, 2-m resolution, fa2011013_2m)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

Swath bathymetry gridded data collected by the U.S. Geological Survey on Middle Ground Shoal, Massachusetts, 2007-2009 (Esri grid, UTM Zone 19N, WGS 84, 2-m resolution, mg-2m)

These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Ini

2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12012 Offshore in Northeastern Long Island Sound (UTM Zone 18, NAD83, H12012_2M_UTM)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and Environmental Protection (CT DEEP), has produced detailed geologic maps of the coastal sea floor

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12299 in Block Island Sound (UTM Zone 19, NAD 83, H12299_2M_UTM)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12299 in Block Island Sound (UTM Zone 19, NAD 83, H12299_MB2M_UTM.TIF)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide

10-m Bathymetry grid produced from lead-line and single-beam sonar soundings, swath interferometric, multibeam, and lidar datasets (bb_navd88_10m, Esri binary grid, UTM Zone 19N, WGS84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Buzzards Bay, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bot

10-m Bathymetry grid produced from lead-line and single-beam sonar soundings, swath interferometric, multibeam, and lidar datasets (bb_navd88_10m, Esri binary grid, UTM Zone 19N, WGS84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Buzzards Bay, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bot

Hillshaded-relief image produced from lead-line and single-beam sonar soundings, swath interferometric, multibeam, and lidar datasets (bb_navd88_hs_10m, Esri grid, UTM Zone 19N, WGS 84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Buzzards Bay, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bot

Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12298 in Block Island Sound (UTM Zone 19, NAD 83, H12298_2M_UTM)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12298 in Block Island Sound (UTM Zone 19, NAD 83, H12298_MB2M_UTM.TIF)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting

Esri Binary 1-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12324 in Narragansett Bay (UTM Zone 19, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide

Color Shaded-Relief GeoTIFF Image Showing the Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12324 in Narragansett Bay (UTM Zone 19, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide

Polyline shapefile of a portion of the 1-meter (m) contours in quadrangle 6 of the Stellwagen Bank Survey Area offshore of Boston, Massachusetts necessary to show small features not displayed by 5-m contours - based on bathymetry data collected by the U.S. Geological Survey from 1994-1996 (Geographic, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since

Swath bathymetry 13-m-cell-size grid of quadrangle 6 on Stellwagen Bank offshore of Boston, Massachusetts collected by the U.S. Geological Survey aboard the Frederick G. Creed from 1994-1996 (custom Mercator projection, NAD 83, Esri binary grid format)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since

5 meter bathymetric contours derived from data collected during U.S. Geological Survey Geophysical Surveys of Bear Lake, Utah-Idaho, September, 2002 cruise 02031(02031_BATHY_5M)

Bear Lake is a tectonic lake that has existed for at least several hundred thousand years. The lake basin is a relatively simple half graben, a spoon-shaped depression tilted toward the main fault on the east side of the lake. The U.S. Geological Survey,

Geophysical Surveys of Bear Lake, Utah-Idaho, September 2002 - Bathymetric Grid (BATHYGRD.TIF)

Bear Lake is a tectonic lake that has existed for at least several hundred thousand years. The lake basin is a relatively simple half graben, a spoon-shaped depression tilted toward the main fault on the east side of the lake. The U.S. Geological Survey,

10 meter bathymetric contours of the Gulf of the Farallones region (10mCONTOUR)

In 1989, the U.S. Geological Survey (USGS) began a major geologic and oceanographic investigation of the Gulf of the Farallones continental shelf system, designed to evaluate and monitor human impacts on the marine environment (Karl and others, 2002). The

500 meter bathymetric contours of the Gulf of the Farallones region (500mCONTOUR)

In 1989, the U.S. Geological Survey (USGS) began a major geologic and oceanographic investigation of the Gulf of the Farallones continental shelf system, designed to evaluate and monitor human impacts on the marine environment (Karl and others, 2002). The

10 m bathymetric contours for the Southwest Washington Study area (BATHY)

Two 21-day field operations were conducted in 1997 and 1998 in the estuaries and on the inner continental shelf off the northern Oregon and southern Washington coast. These cruises aboard the R/V Corliss were run in order to generate reconnaissance maps o