U.S. Geological Survey
2015
Beach Topography—Fire Island, New York, Post-Hurricane Sandy, April 2013: Ground Based Lidar (1-Meter Digital Elevation Model)
Raster digital data
U.S. Geological Survey Data Series
DS 921
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
http://pubs.usgs.gov/ds/0921/downloads/FI_CLARIS2013_dem.zip
Owen Brenner
Cheryl J. Hapke
Nicholas J. Spore
Katherine L. Brodie
Jesse E. McNinch
2015
Ground-based lidar beach topography of Fire Island, New York, April 2013
U.S. Geological Survey Data Series
DS 921
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.3133/ds921
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in Florida and the U.S. Army Corps of Engineers Field Research Facility in Duck, North Carolina, collaborated to gather alongshore ground-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on April 10, 2013, to characterize beach topography following substantial erosion that occurred during Hurricane Sandy, which made landfall on October 29, 2012, and multiple, strong winter storms. The ongoing beach monitoring is part of the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).
To collect, process, and disseminate beach topography along 30 km of Fire Island, NY beach, from the western boundary of Fire Island National Seashore to the Wilderness Breach.
20130410
ground elevation
As needed
-73.228693
-72.898031
40.7288894
40.622037
USGS Metadata Identifier
USGS:8a90194a-456b-43ee-902a-b6bb4170995a
General
elevation data
topography
ground-based lidar
CLARIS
Coastal Lidar and Radar Imaging System
U.S. Geological Survey
Hurricane Sandy Supplemental: Fire Island
Global Change Master Science Directory (GCMD)
LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
OCEAN > COASTAL PROCESSES > BARRIER ISLANDS
OCEAN > COASTAL PROCESSES > BEACHES
DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY, U.S. GEOLOGICAL SURVEY, U.S. DEPARTMENT OF INTERIOR
Data Categories for Marine Planning
distributions
bathymetry and elevation
Marine Realms Information Bank (MRIB) Keywords
altimetry
topographic mapping
USGS Thesaurus
LIDAR
topography
digital elevation models
General
Fire Island
Fire Island National Seashore
Long Island
New York
United States
General
2013
Hurricane Sandy
None
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as the originator of these data in future products or derivative research.
U.S. Geological Survey
Cheryl J. Hapke
mailing and physical address
600 4th Street South
St Petersburg
FL
33701-4846
USA
727-502-8068
727-502-8001
chapke@usgs.gov
Areas of data overlap were initially compared against each other to measure repeatability. Depending on GPS quality and distance from the base station, the accuracy of the scans varied from 5 to 15 cm. The fixed structures (i.e. houses, rooflines, decks) were used to measure repeatability and the base station benchmark was used to measure accuracy. Previous airborne lidar from a 2011-2012 National Oceanic and Atmospheric Administration (NOAA)/New York State Department of Environmental Conservation (NYSDEC) survey was also used as an alternative fixed structure comparison.
Repeatability: 5-15 cm
Accuracy: 5-10 cm
Lidar beach morphology data were collected by the U.S. Army Corps of Engineers' (USACE) Coastal Lidar and Radar Imaging System (CLARIS) vehicle on April 10, 2013. The survey vehicle traveled approximately 5 kilometers per hour (km/h) along two 30 km shore parallel transits. The seaward side of the dune and the upper beach were surveyed during the first transit, and the area from near the shoreline and the lower beach were surveyed during the second transit. The survey was designed to provide an area of extensive overlap used to verify system accuracy and assess survey precision
complete
10 cm
10 cm
Data for the survey extents was collected along with a bore-sight to resolve subtle differences between the scanner and the inertial measurement unit (IMU). After collection, the data were post-processed with multiple software packages to produce the final digital elevation model product.
2013
U.S. Army Corps of Engineers: Engineer Research and Development Center (ERDC) - Coastal Hydraulics Laboratory (CHL) - Coastal Observation and Analysis Branch (COAB)
Nick Spore
Research Civil Engineer
mailing and physical address
USACE-CEERD-HF-A, Field Research Facility
1261 Duck Road
Kitty Hawk
NC
27949
USA
252-261-6840 ext: 231
252-261-4432
nicholas.j.spore@usace.army.mil
http://www.frf.usace.army.mil
Terrestrial GPS data are post-processed with National Geodetic Survey's (NGS) continuously operating reference stations (CORS) and integrated with post-processed IMU and DMI data within Applanix's PosPac software to derive a smoothed best estimate of vehicle trajectory (SBET). After processing, quantitative quality-metrics were analyzed to ensure the trajectory accuracy met the manufacturer's specified values.
2013
U.S. Army Corps of Engineers: Engineer Research and Development Center (ERDC) - Coastal Hydraulics Laboratory (CHL) - Coastal Observation and Analysis Branch (COAB)
Nick Spore
Research Civil Engineer
mailing and physical address
USACE-CEERD-HF-A, Field Research Facility
1261 Duck Road
Kitty Hawk
NC
27949
USA
252-261-6840 ext: 231
252-261-4432
nicholas.j.spore@usace.army.mil
http://www.frf.usace.army.mil
The SBET and bore-sight measurements are imported into Riegl's RiProcess lidar software where the lidar point cloud is geo-rectified. Control monuments and previously validated data are used for comparison to determine the accuracy of the survey. The processed point cloud is manipulated within RiProcess to delineate the shoreline, filter structures and vegetation, and classify points as water, vegetation, structures, and ground. The classified point cloud is exported as a .las file.
2013
U.S. Army Corps of Engineers: Engineer Research and Development Center (ERDC) - Coastal Hydraulics Laboratory (CHL) - Coastal Observation and Analysis Branch (COAB)
Nick Spore
Research Civil Engineer
mailing and physical address
USACE-CEERD-HF-A, Field Research Facility
1261 Duck Road
Kitty Hawk
NC
27949
USA
252-261-6840 ext: 231
252-261-4432
nicholas.j.spore@usace.army.mil
http://www.frf.usace.army.mil
The .las file is imported into Applied Imagery's Quick Terrain Modeler software in which a mean-z (elevation) algorithm and an anti-aliasing filter are applied to the point-cloud data to grid the data at a 0.5 meter (m) resolution. After gridding is completed, the DEM (surface) is inspected for any remaining noise, such as spikes and wells, which are removed prior to final export as an American Standard Code for Information Interchange (ASCII) .xyz file. Any grid cells with no data were assigned a value of "null".
2013
U.S. Army Corps of Engineers: Engineer Research and Development Center (ERDC) - Coastal Hydraulics Laboratory (CHL) - Coastal Observation and Analysis Branch (COAB)
Nick Spore
Research Civil Engineer
mailing and physical address
USACE-CEERD-HF-A, Field Research Facility
1261 Duck Road
Kitty Hawk
NC
27949
USA
252-261-6840 ext: 231
252-261-4432
nicholas.j.spore@usace.army.mil
http://www.frf.usace.army.mil
Within Esri’s ArcCatalog, the ASCII xyz file was converted to an ArcGIS multipoint feature using the ASCII 3D To Feature Class tool and was projected from North American Datum of 1983 (NAD 83) State Plane New York Long Island (meters) to NAD 83, Universal Transverse Mercator (UTM) Zone 18N (meters). The point data were converted back to ASCII xyz format for publication using the Feature Class Z to ASCII tool.
2013
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Owen Brenner
Geologist
mailing and physical address
600 4th Street South
St Petersburg
FL
33701-4846
USA
727-502-8085
727-502-8001
obrenner@usgs.gov
The uncertainty for the interpolated DEM was determined using a methodology established by Lentz and Hapke (2011) and Lentz and others (2013) by withholding a random distribution of 10 percent of the point data from the gridding process (Create Terrain and Build Terrain tools in ArcGIS), comparing the elevations of the withheld points to the gridded surface, and calculating a root mean square error (RMSE) on the basis of the elevation differences. The resulting RMSE uncertainty of the interpolated surface was determined to be ±0.026 m. The Terrain to Raster tool in ArcGIS was then used to export the surface raster with 1-m cell size for publication.
2013
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Owen Brenner
Geologist
mailing and physical address
600 4th Street South
St. Petersburg
Florida
33701
U.S.
727-502-8085
727-502-8001
obrenner@usgs.gov
Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog.
20170124
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Added keywords section with USGS persistent identifier as theme keyword.
20201013
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
point
Grid Cell
11,257
27,713
Universal Transverse Mercator
18
.999600
-75.000000
0.000000
500000.000000
0.000000
coordinate pair
1.000000
1.000000
meters
North American Datum 1983
Geodetic Reference System 80
6378137.000000
298.257222101
North American Vertical Datum 1988
0.0001 cm
meters
Attribute values
20130410_CLARIS_DEM.tif
Elevation DEM
U.S. Geological Survey
Elevation DEM raster created with 1m cell size.
Beach topography DEM for Fire Island, NY from ground-based lidar survey on April 10, 2013. DEM raster was interpolated from ArcGIS terrain file using linear interpolation and 1-meter cell size. XY location data is projected in NAD83 UTM zone 18N and corresponding vertical value is in NAVD88.
U.S. Geological Survey, St Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Cheryl J. Hapke
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8068
727-502-8001
U.S. Geological Survey DS 921
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials.
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
GeoTIFF and Esri World File
9.20
TIFF elevation raster
7-zip file containing .tif DEM and .twf
Use WinZip or 7-Zip
82
http://pubs.usgs.gov/ds/0921/downloads/FI_CLARIS2013_dem.zip
None
20210922
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Owen Brenner
Geologist
mailing and physical address
600 4th Street South
St. Petersburg
Florida
33701
U.S.
727-502-8085
727-502-8001
obrenner@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998