U.S. Geological Survey
2016
Beach Topography— Terrestrial-Based Lidar Beach Topography of Fire Island, New York, June 2014
Raster digital data
U.S. Geological Survey Data Series
DS 980
St. Petersburg, FL
U.S.Geological Survey St. Petersburg Coastal and Marine Science Center
https://doi.org/10.3133/ds980
Owen Brenner
Cheryl J. Hapke
Katie G. Lee
Dustin R. Kimbrow
2016
Terrestrial-based lidar beach topography of Fire Island, New York, June 2014
U.S. Geological Survey Data Series
DS 980
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.3133/ds980
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Florida and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collaborated to gather alongshore terrestrial-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on June 11, 2014, to characterize beach topography and document ongoing beach evolution and recovery, and is part of the ongoing beach monitoring within 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 data collected along 30 kilometers (km) of Fire Island, New York, from the western boundary of Fire Island National Seashore to the Wilderness Breach.
20140611
ground elevation
As needed
-73.205753312
-72.831031025
40.749777289
40.625667641
USGS Metadata Identifier
USGS:769548c5-9fce-474b-a4a6-d9c1f40bd62d
General
elevation data
topography
ground-based lidar
terrestrial light detection and ranging system (T-lidar)
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
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
Owen Brenner
mailing and physical address
600 4th Street South
St Petersburg
FL
33701-4846
USA
727-502-8068
727-502-8085
obrenner@usgs.gov
The errors associated with the collection of elevation data can be classified as systematic or random. Systematic errors are those that can be measured or modeled through calibration (Byrnes and others, 2002). Random errors are a result of the limitations of the measuring device and an inability to perfectly model the systematic errors. The POSPac MMS software also creates a positional accuracy file which is compared to 38 control points occupied prior to the T-lidar survey using a real-time kinematic global positioning system (RTK-GPS) unit to evaluate the accuracy of the post-processed SBET solution. The horizontal accuracy of the post-processed file has a minimum and maximum root mean square error (RMSE) of 0.4 and 1.2 centimeters (cm), respectively. The RMSE of the vertical accuracy ranged from 0.7 to 1.8 cm. Stated accuracies are based on peak-to-peak errors.
Beach morphology data of Fire Island, New York, were collected by USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) using a truck-mounted mobile T-lidar. The T-lidar instrument was mounted on top of a truck, and covered 35 km of Fire Island beach at speeds of less than 16 km per hour. Data were collected June 11, 2014. This system is composed of an Optech ILRIS HD-ER-MC high frequency laser scanner in conjunction with an Applanix POSMV inertial measurement unit (IMU). A global positioning system (GPS) base station was set up on a nearby benchmark and logged vertical and horizontal position information during the survey for post-processing. During post-processing, the POSPac MMS software uses differential correction algorithms to compute a smoothed best estimate of trajectory (SBET) file. The SBET file is then applied to the raw T-lidar data along with the boresight parameter file using Optech Parser software to produce a geo-referenced point-cloud dataset. Thirty-eight additional topographic data points were collected for survey control using a real-time kinematic global positioning system (RTK-GPS) unit, which was used to assess system accuracy and variability. Point Cloud data is filtered and edited within Innovmetric Polyworks software to remove vegetation and any problematic or outlier point values.
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.
The horizontal accuracy of the post-processed file has a minimum and maximum root mean square error (RMSE) of 0.4 and 1.2 cm, respectively.
The RMSE of the vertical accuracy ranged from 0.7 to 1.8 cm. Stated accuracies are based on peak-to-peak errors.
USGS Lower Mississippi-Gulf Water Science Center (LMG WSC)
2014
USGS Lower Mississippi-Gulf Water Science Center (LMG WSC)
Katie G. Lee
Hydraulic Engineer
mailing and physical address
USGS Alabama Water Science Center
75 TechnaCenter Drive
Montgomery
AL
36117
USA
334-395-4120
334-395-4168
kmlee@usgs.gov
http://al.water.usgs.gov/
SBET and Point Cloud Creation: The POSMV system collected attitude and trajectory information during the survey, and these data were later post-processed using Applanix POSPac MMS (2013) software with GPS data, collected at a nearby benchmark. The POSPac MMS software uses differential correction algorithms to compute a smoothed best estimate of trajectory (SBET) file and associated positional accuracy report of the processed SBET. The SBET file is then applied to the raw T-lidar data along with the boresight parameter file using Optech Parser software to produce a geo-referenced point-cloud dataset.
2014
USGS Lower Mississippi-Gulf Water Science Center (LMG WSC)
Katie G. Lee
Hydraulic Engineer
mailing and physical address
USGS Alabama Water Science Center
75 TechnaCenter Drive
Montgomery
AL
36117
USA
334-395-4120
334-395-4168
kmlee@usgs.gov
http://al.water.usgs.gov/
Using Innovmetric Polyworks software, the point clouds were filtered using several methods: (1) intensity, (2) height above a digital elevation model (DEM) surface, and (3) visual inspection. A preliminary DEM surface was created using a 0.25-meter (m) grid, and points that were 0.1 m higher than the generated surface were removed. Vegetation was removed by selecting points above a DEM surface. Each point within the point cloud has an intensity value (ranges from 0 to 255) associated with it that represents the amount of near-infrared reflectance received by the T-lidar instrument. The points with relatively low intensity values were examined and removed, if necessary. Once the data were filtered, an updated DEM surface was generated and manually edited to remove any remaining outliers. Additionally, the data were edited to smooth out any differences caused by temporal data collection. The final xyz point-cloud data are then created at 1-m horizontal resolution (fig. 2).
2014
USGS Lower Mississippi-Gulf Water Science Center (LMG WSC)
Katie G. Lee
Hydraulic Engineer
mailing and physical address
USGS Alabama Water Science Center
75 TechnaCenter Drive
Montgomery
AL
36117
USA
334-395-4120
334-395-4168
kmlee@usgs.gov
http://al.water.usgs.gov/
Within Esri's ArcCatalog, the ASCII xyz point cloud file was converted to an ArcGIS multipoint feature using the ASCII 3D To Feature Class tool. An ArcGIS Digital Terrain Model was built from the xyz feature class using Create Terrain tool. A 1-m raster DEM was exported from the terrain surface using the Terrain to Raster tool.
2014
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
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
13,077
31,387
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
Geodetic Reference System 80
6378137.000000
298.257222101
North American Vertical Datum 1988
0.0001 cm
meters
Attribute values
20140611_FI_USGS_DEM.tif
Elevation DEM
U.S. Geological Survey
Elevation
Elevation value
U.S. Geological Survey
-2.62236
14.3669
meters
Elevation DEM raster created with 1-m cell size resolution.
Beach topography DEM for Fire Island, New York, created from data collected during a ground-based lidar survey conducted on June 11, 2014. DEM raster was interpolated from a ArcGIS terrain file using linear interpolation and 1-meter cell size. XY location data is projected in NAD83 UTM zone 18N and corresponding vertical values are in NAVD88.
U.S. Geological Survey, St Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Owen Brenner
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727-502-8085
727-502-8001
U.S. Geological Survey DS 980
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
Zip file containing .tif DEM and .twf
Use WinZip or 7-Zip
9.1
https://doi.org/10.3133/ds980
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
727-502-8085
obrenner@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998