U.S. Geological Survey
2016
Terrestrial-Based Lidar Beach Topography of Fire Island, New York, May 2015
Tabular digital data
U.S. Geological Survey Data Release
doi:10.5066/F7862DKH
St. Petersburg, FL
St. Petersburg Coastal and Marine Science Center
https://doi.org/10.5066/F7862DKH
Owen Brenner
Cheryl J. Hapke
Kathryn G. Lee
Dustin R. Kimbrow
20160219
Terrestrial-Based Lidar Beach Topography of Fire Island, New York, June 2014
U.S. Geological Survey Data Series
Data Series 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) and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collected terrestrial-based light detection and ranging (T-lidar) elevation data at Fire Island, New York. The data were collected on May 18, 2015 as part of the ongoing beach monitoring within Hurricane Sandy Supplemental Project GS2-2B, and will be used to document and assess the morphological storm response and post-storm beach recovery. The survey extended along 30 kilometers(km) of the Fire Island National Seashore, from the eastern boundary of Robert Moses State Park to the western boundary of Smith Point County Park. This USGS Data Release includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM). For further information regarding data collection and/or processing methods, refer to previously published USGS Data Series 980 (https://doi.org/10.3133/ds980).
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. To ensure that St. Petersburg Coastal and Marine Science Center (SPCMSC) data management protocols were followed, this survey was assigned a USGS field activity number (FAN), 2015-312-FA. Additional survey and data details are available at http://cmgds.marine.usgs.gov/fan_info.php?fan=2015-312-FA.
20150518
ground condition
As needed
-73.205662306
-72.8661747972
40.7376424609
40.6265804221
USGS Metadata Identifier
USGS:a78fae99-0999-4819-ace6-46165de22ed9
ISO 19115 Topic Category
elevation
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 ISLANDR
OCEAN > COASTAL PROCESSES > BEACHES
DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY, U.S. GEOLOGICAL SURVEY, U.S. DEPARTMENT OF INTERIOR
GCMD Instrument
LIDAR > LIGHT DETECTION AND RANGING
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
2015
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
727-502-8085
727-502-8001
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. Applanix's POSPac MMS software 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 Smoothed Best Estimate of Trajectory (SBET) solution. The horizontal accuracy of the post-processed file has a minimum and maximum root mean square error (RMSE) of 0.5 and 1.8 centimeters (cm), respectively. The RMSE of the vertical accuracy ranged from 0.8 to 2.6 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 30 km of Fire Island beach at speeds of less than 16 km per hour. Data were collected May 18, 2015. 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 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 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 0.5 and 1.8 cm, respectively.
The RMSE of the vertical accuracy ranged from 0.8 to 2.6 cm. Stated accuracies are based on peak-to-peak errors.
Pre-Survey Calibration: The mobile T-lidar system requires a rigorous calibration procedure before accurate datasets can be generated. All instrumentation must first be surveyed, and their relative positions (lever arms) must be resolved with respect to the origin point of the IMU. Next, a boresight procedure is performed in order to determine the angular differences (that is, roll, pitch, and heading) between the IMU and the T-lidar instrument.
2015
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.
2015
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 ASCII text file containing xyz point-cloud data is then created at 1-m horizontal resolution.
2015
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. Using the Feature Class Z To ASCII tool the point data was reverted back to ASCII txt format containing xyz data for publication, in a non-proprietary format and projected in Universal Transverse Mercator (UTM) Zone 18N (meters).
2016
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
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
Point
1,268,622
Universal Transverse Mercator
18
0.999600
-75.000000
0.000000
500000.000000
0.000000
coordinate pair
1.000000
1.000000
meters
North American Datum 1983
Geodectic Reference System 80
6378137.000000
298.257222101
North American Vertical Datum 1988
0.0001 cm
meter
Attribute values
20150518_FI_USGS_XYZ.txt
Tab delimited txt
U.S. Geological Survey
POINT_X
UTM x-axis coordinate (Zone 18N)
U.S. Geological Survey
651746
680189
Meter
POINT_Y
UTM y-axis coordinate (Zone 18N)
U.S. Geological Survey
4499487
4511186
Meter
POINT_Z
z- value
U.S. Geological Survey
-0.8176
6.3278
meters
Comma delimited xyz file containing UTM X, UTM Y locations and corresponding Z elevation value, all in meters.
Beach topography point data for Fire Island, New York, which was created from data collected during a ground-based lidar survey on May 18, 2015.
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
20150518_FI_USUS_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
9.20
Zip file containing space delimited xyz point elevation file
Use WinZip or 7-Zip
86.9
https://coastal.er.usgs.gov/data-release/doi-F7862DKH/data/20150518_FI_USGS_DEM.zip
https://doi.org/10.5066/F7862DKH
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