Boundaries

Legal land descriptions, for example political and administrative boundaries, governmental units, marine boundaries, voting districts, school districts, international boundaries
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Polygon Boundary Describing the Source Surveys Used to Build the Bathymetric Terrain Model of the Puerto Rico Trench and Northeastern Caribbean Region Compiled by the U.S. Geological Survey (PRBATHSOURCE, Esri Shapefile, Geographic projection WGS 84).

Bathymetric terrain models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing technologies of bathymetry data have facilitated the creation of high-resolution bathymetric su

Buzzards Bay: Polygon boundaries for source data of a continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf: (Esri polygon shapefile, Geographic, NAD 83).

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: Polygon boundaries for source data of a continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf: (Esri polygon shapefile, Geographic, NAD 83).

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: Polygon boundaries for source data of a continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf: (Esri polygon shapefile, Geographic, NAD 83).

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: Polygon boundaries for source data of a continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf: (Esri polygon shapefile, Geographic, NAD 83).

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

Polygon boundary describing the source surveys used to build the Bathymetric Terrain Model of the U.S. Atlantic Margin of 100-meter resolution compiled by the U.S. Geological Survey (Esri Shapefile, Geographic WGS 84 Coordinate System)

Bathymetric Terrain Models (BTMs) of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing technologies of bathymetry data have facilitated the creation of high-resolution bathymetric s

Polygon boundaries for source data of a continuous terrain model for water circulation studies: Barnegat Bay, New Jersey. (Esri polygon shapefile, Geographic, 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

Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kaanapali priority study area and the State of Hawaii Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawaii

A benthic habitat polygon coverage has been created of the coral reef ecosystem within the U.S. Coral Reef Task Force Watershed Partnership Initiative Kaanapali priority study area and the State of Hawaii Kahekili Herbivore Fisheries Management Area, West

Still-image frame grabs and benthic habitat interpretation of underwater video footage, March 2014, Faga`alu Bay, American Samoa

Underwater video was collected in March 2014 in the nearshore waters of Faga`alu Bay on the island of Tutuila, American Samoa, as part of the U.S. Geological Survey Coastal and Marine Geology Program's Pacific Coral Reefs Project. This dataset includes 2,

Underwater video footage, March 2014, Faga'alu Bay, Tutuila Island, American Samoa

Underwater video imagery was collected in March 2014 in the nearshore waters of Faga'alu Bay on the Island of Tutuila, American Samoa, as part of the U.S. Geological Survey Coastal and Marine Geology Program's Pacific Coral Reefs Project. Included here ar

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,

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

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

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

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

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.

Shorelines for Barnegat and Great Bay, NJ: 1839 to 2012 (ver. 1.1, December 2017)

This data-set represents vector shorelines for the New Jersey coastline (Point Pleasant, NJ to Longport, NJ) from 1839 to 2012. Data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), National Oceanic and Atmospheric Ad

Shoreline Change Rates for Barnegat and Great Bay, NJ: 1839 to 2012 (ver. 1.1, December 2017)

This dataset represents shoreline change rates for the New Jersey coastline (Point Pleasant, NJ to Longport, NJ) from 1839 to 2012. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), National Oceanic and

Shapefile of Historical New Jersey Shoreline Data Derived from National Oceanic and Atmospheric Administration (NOAA) 1839-1875 T-Sheets

Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called t-sheets, provide a reference of historical shoreline position that can be compared to mod

Georeferenced Scans of National Oceanic and Atmospheric Administration (NOAA) T-Sheets Collected Along the New Jersey Coastline from 1839-1875

Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called t-sheets, provide a reference of historical shoreline position that can be compared to mod

Historical Shoreline for New Jersey (1971 to 1978): Vector Digital Data

New_Jersey_1971_78_Digitized_Shoreline.zip features a digitized historic shoreline for the New Jersey coastline (Point Pleasant, NJ to Longport, NJ) from 1971 to 1978. Imagery of the New Jersey coastline was acquired from the New Jersey Geographic Informa

Vectorized Marsh Shorelines for the Grand Bay National Estuarine Research Reserve in Mississippi and Alabama from 1848 to 2017

This dataset represents a compilation of vector shorelines in the Grand Bay National Estuarine Research Reserve (Mississippi and Alabama) from 1848 to 2017. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USG

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

Transects_OpenOcean.shp - Digital Shoreline Analysis System version 4.3 Transects with Linear Regression Rate Calculations for the Open Ocean 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

Transects with Shoreline Change Rates for the Grand Bay National Estuarine Research Reserve in Mississippi and Alabama from 1848 to 2017

This dataset contains shoreline change rates for the Grand Bay National Estuarine Research Reserve from 1848 to 2017. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), National Oceanic and Atmospheric Ad

Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of

SURVEYS: Outlines of U.S. Geological Survey, Coastal and Marine Geology Program (USGS/CMGP) seafloor mapping surveys

This is a polygon GIS data layer showing the location and extent of various sidescan, multibeam and swath bathymetry surveys conducted by the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP). Outlines of individual mosaic areas wer

Continental Margin Mapping Program (CONMAP) sediments grainsize distribution for the United States East Coast Continental Margin (CONMAPSG)

Sediments off the eastern United States vary markedly in texture - the size, shape, and arrangement of their grains. However, for descriptive purposes, it is typically most useful to classify these sediments according to their grain-size distributions. S

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

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