U.S. Geological Survey Coastal and Marine Science Center
20170812
Beach Topography—Fire Island, New York, Pre-Hurricane Sandy, January 2012: Ground Based Lidar (ASCII XYZ Point Data)
Tabular digital data
U.S. Geological Survey Data Release
doi:10.5066/F7N29VV5
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/F7N29VV5
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 topography at Fire Island, New York. This high-resolution, elevation dataset was collected on January 30, 2012, and was funded by SPCMSC. The USGS data release containing the aforementioned dataset includes the resulting, processed elevation point data (XYZ) and an interpolated digital elevation model (DEM).
To collect, process, and disseminate beach topography along 31 kilometers (km) of Fire Island, NY beach, stretching from the eastern boundary of Robert Moses State Park to the Otis Pike Wilderness Area near Hospital Island. The eastern terminus of this survey is approximately 1.25 km east of the Wilderness Breach that opened during Hurricane Sandy in October 2012, and approximately 1.5 km west of the Fire Island Wilderness Visitor Center. The USACE-FRF team acquired and performed initial processing of the high-resolution lidar data, which is only one component of a larger dataset collected using the CLARIS platform.
20120130
ground elevation
As needed
-73.22699289
-72.88229587
40.73271509
40.62213367
ISO 19115 Topic Category
geoscientificInformation
elevation
oceans
USGS Thesaurus
geology
hazards
marine geology
coastal processes
topography
None
elevation data
ground-based lidar
CLARIS
Coastal Lidar and Radar Imaging System
U.S. Geological Survey
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
Geographic Names Information System (GNIS)
Fire Island
Fire Island National Seashore
Long Island
New York
United States
None
2014
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
Owen T. Brenner
Cheryl J. Hapke
Nicholas J. Spore
Katherine L. Brodie
Jesse E. McNinch
20170812
Ground-based lidar beach topography of Fire Island, New York, January 2012
U.S. Geological Survey Data Release
doi:10.5066/F7N29VV5
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/F7N29VV5
Owen T. Brenner
Cheryl J. Hapke
Nicholas J Spore
Katherine L. Brodie
Jesse E. McNinch
20150226
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
Owen T. Brenner
Cheryl J. Hapke
Nicholas J. Spore
Katherine L. Brodie
Jesse E. McNinch
20150916
Ground-Based Lidar Beach Topography of Fire Island, New York, April 2014
U.S. Geological Survey Data Release
doi:10.5066/F77H1GNN
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/F77H1GNN
Areas of data overlap were initially compared against each other to measure repeatability. Depending on the distance from the base station, which was an Ashtech Z-Xtreme GPS receiver installed on a temporary benchmark at the U.S. Coast Guard Fire Island station, the accuracy of the scans varied from 5 to 15 centimeters (cm). The fixed structures (for example, houses, rooflines, or 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 January 30, 2012. For data collection and processing methods, refer to Brenner and others, 2015. The survey vehicle traveled approximately 5 kilometers per hour (km/h) along two 31 km shore parallel transits; the first transit surveyed the seaward side of the dune and upper beach while the second transit surveyed the area near the shoreline and lower beach. The survey was designed to provide a significant overlap area of data coverage, which is used to verify system accuracy and assess survey precision.
This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
10 cm
10 cm
USACE-FRF Processing - Data for the survey extents was collected along with a boresight to resolve subtle differences between the scanner and the Inertial Measurement Unit (IMU). After collection, the data were post-processed using multiple software packages to produce the final digital elevation model product.
2012
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 global positioning system (GPS) data were post-processed with National Geodetic Survey's Continuously Operating Reference Stations (CORS) and integrated with post-processed IMU data through Applanix's POSPac global navigation satellite system (GNSS) software to derive a smoothed, best estimate of trajectory (SBET). After processing, quantitative quality-metrics were analyzed to ensure the trajectory accuracy met the manufacturer's specified values.
2012
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 was imported into Riegl's RiProcess lidar software, where the lidar point cloud was rectified and geo-registered to a particular coordinate system, projection, and geoid model as well as applying boresight values for roll, pitch and yaw. Control monuments and previously validated datasets were used for comparison, to determine the accuracy of the survey. These were measured by cutting cross-sections of the current survey overlayed on previously validated data within the software through stable structures such as houses, monuments, and road centerlines.
2012
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 processed point cloud was manipulated within RiProcess to delineate the shoreline, filter structures and vegetation, and classify points as water, vegetation, structures, and ground. The classified point cloud was exported as a .las (1.1) file.
2012
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 was imported into Applied Imagery's QTModeler software where a mean-z (elevation) algorithm was applied to the point cloud data to grid the data at 0.5-meter resolution. Anti-aliasing was also applied to increase the precision of the triangulation by subdividing each grid cell into 16 equal segments and recording which segment contained the point that was used to represent the elevation value of the grid cell. When triangulation occurs, this increased level of precision will enhance the accuracy of the triangles and the subsequent sampling that occurs. The sub-grid was not retained after the model was created. During the model triangulation, any grid cells with no data were assigned a value of "null" - for example, no data exists. After gridding was completed, XYZ point data were exported as a space delimitated .txt file, projected in the North American Datum of 1983 (NAD83) UTM Zone 18N (North American Vertical Datum of 1988 [NAVD88] GEOID12B meters).
2017
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
SPCMSC Processing - The XYZ .txt file was converted to an ArcGIS multipoint feature using the 'Create Feature Class from XYZ Table’ tool within ArcCatalog 10.2.2. The output feature class was assigned as NAD83 UTM Zone 18N, NAVD88 GEOID12B. XYZ point features are QA/QC’ed to remove any outlier points.
2017
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
U.S.
727-502-8085
727-502-8001
obrenner@usgs.gov
point
Point
7,572,728
Universal Transverse Mercator
18
0.999600
-75.000000
0.000000
500000.000000
0.000000
row and column
1.000000
1.000000
meters
North American Datum 1983
Geodectic Reference System 80
6378137.000000
298.257222101
North American Vertical Datum 1988 GEOID12B
0.001 m
meter
Attribute values
20120131_CLARIS_XYZ.txt
Comma delimited XYZ point file
U.S. Geological Survey
X_UTM
UTM x-axis coordinate (Zone 18N)
U.S. Geological Survey
649951.7696
678841.2696
Meter
Y_UTM
UTM y-axis coordinate (Zone 18N)
U.S. Geological Survey
4498960.6758
4510603.1758
Meter
NAVD88
z-value (elevation) in NAVD88
U.S. Geological Survey
-0.567
15.392
meters
Comma delimited text file containing UTM X, UTM Y locations and corresponding Z elevation value, all in meters (NAD83, UTM Zone 18N, NAVD88).
Beach topography point data for Fire Island, NY, created from data collected during a ground-based lidar survey conducted on January 30, 2012. After post-processing, the lidar point cloud was gridded within QTModeler into 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
20120131_CLARIS_XYZ.txt
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.
ASCII
10.2.2
7-zip file containing comma delimited XYZ point elevation file
Use WinZip or 7-Zip
37.1
https://coastal.er.usgs.gov/data-release/doi-F7N29VV5/data/20120130_CLARIS_XYZ.zip
None
20170810
20170809
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