U.S. Geological Survey
2011
EAARL Coastal Topography-Cape Canaveral, Florida, 2009: First Surface
first
remote-sensing image
U.S. Geological Survey Data Series
585
St. Petersburg, FL
U.S. Geological Survey
http://pubs.usgs.gov/ds/585/
A digital elevation model (DEM) of a portion of the eastern Florida coastline was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA), Kennedy Space Center, FL. Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of +/-15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.
For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .
The purpose of this project was to produce highly detailed and accurate digital elevation maps of a portion of the eastern Florida coastline, for use as a management tool and to make these data available to natural-resource managers and research scientists.
Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. The U.S. Geological Survey's Coastal and Marine Geology Program (CMGP) has developed custom software to convert raw lidar data into a GIS-compatible map product to be provided to GIS specialists, managers, and scientists. The primary tool used in the conversion process is Airborne Lidar Processing System (ALPS), a multi-tiered processing system developed by a USGS-NASA collaborative project. Specialized processing algorithms are used to convert raw waveform lidar data acquired by the EAARL to georeferenced spot (x,y,z) returns for "first surface" and "bare earth" topography. The zero crossing of the second derivative (that is, detection of local maxima) is used to detect "first surface" topography, while the trailing edge algorithm (that is, the algorithm searches for the location prior to the last return where direction changes along the trailing edge) is used to detect the range to the last return, or "bare earth." Statistical filtering, known as the Random Consensus Filter (RCF), is used to remove false bottom returns and other outliers from the EAARL topography data. The filter uses a grid of non-overlapping square cells (buffer) of user-defined size overlaid onto the original point cloud. The user also defines the vertical tolerance (vertical width) based on the topographic complexity and point-sampling density of the data. The maximum allowable elevation range within a cell is established by this vertical tolerance. An iterative process searches for the maximum concentration of points within the vertical tolerance and removes those points outside of the tolerance (Nayegandhi and others, 2009). These data are then converted to the North American Datum of 1983 and the North American Vertical Datum of 1988 (using the GEOID03 model). Each file contains data located in a 2-kilometer by 2-kilometer tile, where the upper-left bound can be assessed quickly through the filename. The first 3 numbers in the filename represent the left-most UTM easting coordinate (e###000) in meters, the next 4 numbers represent the top-most UTM northing coordinate (n####000) in meters, and the last 2 numbers (##) represent the UTM zone in which the tile is located (for example, fs_e123_n4567_17). The development of custom software for creating these data products has been supported by the U.S. Geological Survey CMGP's Decision Support for Coastal Parks, Sanctuaries, and Preserves project. Processed data products are used by the U.S. Geological Survey CMGP's National Assessments of Coastal Change Hazards project to quantify the vulnerability of shorelines to coastal change hazards such as severe storms, sea-level rise, and shoreline erosion and retreat.
20090528
ground condition
None planned
-80.50676
-80.91832
29.08948
28.40436
USGS Metadata Identifier
USGS:bf7e576c-58be-4a3a-9425-4e386d373684
ISO 19115 Topic Category
elevation
General
Airborne Lidar Processing System
ALPS
Digital Elevation Model
DEM
EAARL
Experimental Advanced Airborne Research Lidar
laser altimetry
lidar
remote sensing
topography
Pilatus PC-6
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
Eastern Florida Coast
Florida
Cape Canaveral
Canaveral National Seashore
Atlantic Coast
United States
North America
General
First Surface
General
2009
None
The U.S. Geological Survey and National Aeronautics and Space Administration request to be acknowledged as originators of these data in future products or derivative research.
Amar Nayegandhi
Jacobs Technology, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Project Manager/Remote Sensing Specialist
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3026)
727 803-2031
anayegandhi@usgs.gov
M-F, 8:30-4:30 EST
http://pubs.usgs.gov/ds/585/html/images/mosaic_fs.jpg
EAARL Coastal Topography–Cape Canaveral, Florida, 2009: First-Surface Mosaic: 2.5-meter Resolution
JPG
Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photointerpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such. The effort was funded by the National Aeronautics and Space Administration through agreement numbers NNK08CB30I and NNK09CB67I.
Unclassified
Unclassified
None
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350
Nayegandhi, A., Brock, J.C., and Wright, C.W.
2009
Small footprint, waveform-resolving lidar estimation of submerged and subcanopy topography in coastal environments
International Journal of Remote Sensing
30(4), p. 861-878
The expected accuracy of the measured variables is as follows: attitude within 0.07 degree, 3 centimeters nominal ranging accuracy, and vertical elevation accuracy of +/-15 centimeters for the topographic surface. Quality checks are built into the data-processing software.
Each file contains data located in a 2-kilometer by 2-kilometer tile where the upper-left bound can be assessed quickly through the filename. The first 3 numbers in the filename represent the left-most UTM easting coordinate (e###000) in meters, the next 4 numbers represent the top-most UTM northing coordinate (n####000) in meters, and the last 2 numbers (##) represent the UTM zone in which the tile is located (for example, fs_e123_n4567_17).
Several regions of the dataset are labeled as "No Data," which corresponds to a cell value of -32767 meters in the GeoTIFF file. These "No Data" areas are a result of the survey not covering a particular region, optical water depth of greater than 1.5 Secchi disc depths, or the manual removal of lidar processing artifacts. The presence of "No Data" values does not necessarily indicate an absence of land, but rather an absence of survey coverage or the presence of prolific vegetation that the laser is not able to penetrate in order to return bare-earth data. This metadata file is generalized; each data file on this DVD has its own corresponding metadata file.
Raw elevation measurements have been determined to be within 1 meter in horizontal accuracy.
Typical vertical elevation accuracies for these data are consistent with the point elevation data, +/-15 centimeters. However, a ground-control survey is not conducted simultaneously with every lidar survey. Vertical accuracies may vary based on the type of terrain and the accuracy of the GPS and aircraft-attitude measurements.
The data were collected using a Pilatus PC-6 aircraft. The Experimental Advanced Airborne Research Lidar (EAARL) laser scanner collects the data using a green (532-nanometers) raster scanning laser, while a digital camera acquires a visual record of the flight. The data are stored on hard drives and archived at the U.S. Geological Survey office in St. Petersburg, Florida. The navigational and raw data are then downloaded into the Airborne Lidar Processing System (ALPS, 20090903 - 20101021). Data are converted from units of time to x,y,z points for elevation. The derived surface data can then be converted into raster data (GeoTIFFs).
20101021
Jamie M. Bonisteel-Cormier
Jacobs Technology, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Lidar Analyst
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3124)
jcormier@usgs.gov
M-F, 8:00-5:00 EST
Metadata imported into ArcCatalog from XML file.
20101022
Emily Klipp
Jacobs Technology, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Data Analyst
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3089)
eklipp@usgs.gov
M-F, 9:00-5:00 EST
Synchronously (or nearly synchronously) with the airborne mission, a ground-based GPS-survey system was used to measure elevations along the beach, roads, and vegetated areas. The expected root mean square error (rmse) accuracy of these ground data was approximately 10 cm. Based on comparison to data collected for this mission, the mean offset between the ground-based surveys and first-surface lidar was 36 cm (lidar elevations higher than the ground-based measurements) and the rmse between the two measurements was 33.3 cm.
20100831
Amar Nayegandhi
Jacobs Technology, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Computer Scientist
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3026)
anayegnadhi@usgs.gov
M-F, 8:00-5:00 EST
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
Tiling Index
Raster
Pixel
2001
2001
1
Universal Transverse Mercator
17
0.999600
-81.000000
0
500000.000000
0
row and column
2.500000
2.500000
meters
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.25722210100002
North American Vertical Datum of 1988
0.15
meters
Explicit elevation coordinate included with horizontal coordinates
The GeoTIFFs are created using Delauney triangulation, followed by linear interpolation based on routines in the ITT VIS Interactive Data Language (IDL) code. Each pixel of the encoded GeoTIFF has an explicit elevation value associated with it. The GeoTIFF grid is encoded with the interpolated elevation value at a 2.5-meter resolution. The input parameters for the random consensus filter (RCF) were: grid cell size (buffer) = 6 meters x 6 meters; vertical tolerance (vertical width) = 500 centimeters.
http://pubs.usgs.gov/of/2009/1078/
U.S. Geological Survey
Amar Nayegandhi
Project Manager/Remote Sensing Specialist
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3026)
M-F, 9:00-5:00 EST
DS 585
This DVD publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. 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.
GeoTIFF
2
GeoTIFF
http://pubs.usgs.gov/ds/585/data_files/fs/
Data can be downloaded via the World Wide Web (WWW)
DVD
DVD
Vary
Contact U.S. Geological Survey.
Vary
Contact U.S. Geological Survey for details.
20090528
20201013
Emily Klipp
Jacobs Technology, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Data Analyst
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 803-8747 (x3089)
eklipp@usgs.gov
M-F, 8:30-4:30 EST
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time