Mark Hansen
20150920
Lidar Bathymetry Data of Cape Canaveral, Florida, (2014) in XYZ ASCII text file format
tabular digital data
Archive of Bathymetry Data Collected at Cape Canaveral, Florida, 2014
U.S. Geological Survey Data Series 957
St. Petersburg, Florida
U.S. Geological Survey
https://doi.org/10.3133/ds957
The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS. These various agencies have ongoing concerns related to erosion hazards and vulnerability of the system including critical infrastructure, habitats, and recreational and cultural resources.
The USGS conducted a bathymetric mapping survey August 18-20, 2014, in the Atlantic Ocean offshore of Cape Canaveral, Florida (USGS Field Activity Number 2014-324-FA). The study area covered an area extending south from Port Canaveral, Florida, to the northern end of the KSC property and from the shoreline to about 2.5 km offshore. Bathymetric data were collected with single-beam sonar- and lidar-based systems. Two jet skis and a 17-ft outboard motor boat equipped with the USGS SANDS hydrographic system collected precision sonar data. The sonar operations were conducted in three missions, one on each day, with the boat and jet skis operating concurrently. The USGS airborne EAARL-B mapping system flown in a twin engine plane was used to collect lidar data. The lidar operations were conducted in three missions, one in the afternoon of August 19, 2015, and two more in the morning and afternoon of August 20, 2014. The missions were synchronized such that there was some temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate the actual water clarity corresponding to lidar's ability to receive bathymetric returns.
This dataset serves as an archive of processed single-beam and lidar bathymetry data collected at Cape Canaveral, Florida, in 2014 (in XYZ comma delimited, ASCII and shapefile format). Also included in this archive are Geographic Information System (GIS) data products: gridded map data (in ESRI binary and ASCII grid format), and a color-coded bathymetry map (in PDF format).
The work was conducted as part of a study to describe an updated bathymetric dataset collected in 2014 and compare it to previous data sets. The updated data focus on the bathymetric features and sediment transport pathways that connect the offshore regions to the shoreline and, therefore, are related to the protection of other portions of the coastal environment, such as dunes, that support infrastructure and ecosystems.
20140818
20140820
ground condition
None planned
-80.625
-80.500
28.750
28.375
USGS Metadata Identifier
USGS:9a0116da-4a18-4083-a270-f22df7c230f0
General
bathymetry
circulation model
hydrology
mapping
sediment dynamics
erosion
hydrography
U.S. Geological Survey
USGS
Coastal and Marine Geology Program
CMGP
St. Petersburg Coastal and Marine Science Center
SPCMSC
lidar
soundings
water depth
EARRL-B
second-generation Experimental Advanced Airborne Research lidar
submerged topography
ISO 19115 Topic Category
environment
inlandWaters
elevation
geoscientificInformation
imageryBaseMapsEarthCover
oceans
Department of Commerce, 1995, Countries, Dependencies, Areas of
Special Sovereignty, and Their Principal Administrative Divisions,
Federal Information Processing Standard (FIPS) 10-4, Washington,
D.C., National Institute of Standards and Technology
United States
US
U.S. Department of Commerce, 1987, Codes for the identification of
the States, the District of Columbia and the outlying areas of the
United States, and associated areas (Federal Information Processing
Standard 5-2): Washington, D.C., NIST
Florida
FL
Department of Commerce, 1990, Counties and Equivalent Entities of
the United States, Its Possessions, and Associated Areas, FIPS 6-3,
Washington, D.C., National Institute of Standards and Technology
Cape Canaveral
Port Canaveral
Cape Canaveral Air Force Station
Kennedy Space Center
Cape Canaveral Coastal System
Merritt Island National Wildlife Refuge
Atlantic Ocean
The U.S. Geological Survey requests that it be referenced as the originator of this dataset in any future products or research derived from these data.
These data should not be used for navigational purposes.
Mark Hansen
U.S. Geological Survey
Oceanographer
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mhansen@usgs.gov
The project was funded by the U.S. Air Force, Cape Canaveral Air Force Station. Chris Pali and Calvin Peacock were the acquisition engineers and pilots on board the aircraft, ground acquisition crew were Rudy Troche and Christine Kranenburg. Emily Klipp coordinated flight and acquisition logistics.
Microsoft Windows 7 Enterprise, Service Pack 1; ESRI ArcGIS 10.1 Service Pack 1 Build 3143; ESRI ArcCatalog 10.1 (Build 3143)
Thompson, D.M., Plant, N.G., and Hansen, M.E.
20150920
Analysis of Bathymetric Surveys to Identify Coastal Vulnerabilities at Cape Canaveral, Florida, USGS, Open-File Report 2015-1180
multimedia presentation
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.3133/ofr20151180
The accuracy of the data is determined during data collection. This dataset is derived from a single research cruise using identical equipment, set-ups, and staff; therefore, the dataset is internally consistent. Methods are employed to maintain data collection consistency aboard the platform. During mobilization, each piece of equipment is isolated to obtain internal and external offset measurements with respect to the survey platform. All the critical measurements are recorded manually and digitally entered into their respective programs. For the single-beam bathymetry, offsets between the single-beam transducers and the Ashtech antenna reference point (ARP) were measured and accounted for in post-processing. Bar checks were performed as calibration efforts and accounted for any drift in the Odum Echosounder. Differential Geographic Positioning System (DGPS) coordinates were obtained using post-processing software packages created by the National Oceanic and Atmospheric Administration (NOAA)/National Geodetic Survey (NGS) Online Positioning User Service (OPUS). Boat trajectories were computed with GrafNav© v8.50 software by Novatel, Inc.
These bathymetric data have not been independently verified for accuracy. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), 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 USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.
This dataset was acquired on multiple flights in 2014.
These are complete post-processed x,y,z bathymetric data points acquired with an aircraft lidar system collected in the Atlantic Ocean offshore of Cape Canaveral, FL.
The GPS antenna and receiver acquisition configuration used at the reference station was duplicated on the aircraft(rover). The base receiver and the rover receiver record their positions concurrently at 1Hz recording intervals throughout the survey. All processed measurements are referenced to the base station coordinates.
One new ground-control point or benchmark, referenced as KTIX, within the study area was used as the reference receiver site. For this survey, the new benchmark was built using standard benchmarks procedures. GPS base stations were operated within approximately 15 to 50 km of the survey area. New benchmarks positions were surveyed using Ashtech Z-Extreme©, 12 channel dual-frequency GPS receivers. Full-phase carrier data were recorded on each occupied benchmark in Ashtech proprietary BIN format with daily occupations ranging from 6 to 12 hours. BIN files were then converted to RINEX-2 format for position processing.
For newly established benchmarks, all static base station GPS sessions were submitted for processing to the NOAA/NGS OPUS software software. The base location results from OPUS were entered into a spreadsheet to compute one final positional coordinate and error analysis for that base location. The final positional coordinate (latitude, longitude, and ellipsoid height) is the weighted average of all GPS sessions. For each GPS session, the weighted average was calculated using the OPUS result and the total session time in seconds; therefore, longer GPS occupation times held more value than shorter occupation times. OPUS results are computed relative to IGS08 coordinate system. The established geodetic reference frame for the project was WGS84. It was assumed IGS08 is approximately equal to WGS84 for this survey.
OPUS results provide an error measurement for each daily solution. Applying these error measurements, the horizontal accuracy of the base station is estimated to be 0.02 m root mean squared (RMS).
The kinematic (rover) trajectories were processed using GrafNav© v8.50 software by Novatel, Inc. A horizontal error measurement, RMS is computed for each epoch. The horizontal trajectory errors for varied between 0 and 0.10 m.
The combined horizontal error from base station coordinate solutions and rover trajectories range from 0 and 0.12 m, with the average approximately 0.08 m.
0.08 m
Static GPS data was processed using NOAA/NGS OPUS software and kinematic GPS data was processed with GrafNav v8.50 software by Novatel.
The GPS antenna and receiver acquisition configuration used at the reference station was duplicated on the aircraft (rover). The base receiver and the rover receiver record their positions concurrently at 10Hz recording intervals throughout the survey. All processed measurements are referenced to the base station coordinates.
One new ground-control point or benchmark, referenced as KTIX, within the study area was used as the reference receiver site. For this survey, the new benchmark was built using standard benchmarks procedures. GPS base stations were operated within approximately 15 to 50 km of the survey area. New benchmarks positions were surveyed using Ashtech Z-Extreme, 12 channel dual-frequency GPS receivers. Full-phase carrier data were recorded on each occupied benchmark in Ashtech proprietary BIN format with daily occupations ranging from 6 to 12 hours. BIN files were then converted to RINEX-2 format for position processing.
For newly established benchmarks, all static base station GPS sessions were submitted for processing to the NOAA/NGS OPUS software software. The base location results from OPUS were entered into a spreadsheet to compute one final positional coordinate and error analysis for that base location. The final positional coordinate (latitude, longitude, and ellipsoid height) is the weighted average of all GPS sessions. For each GPS session, the weighted average was calculated using the OPUS result and the total session time in seconds; therefore, longer GPS occupation times held more value than shorter occupation times. OPUS results are computed relative to IGS08 coordinate system. The established geodetic reference frame for the project was WGS84. It was assumed IGS08 is approximately equal to WGS84 for this survey.
OPUS results provide an error measurement for each daily solution. Applying these error measurements, the vertical accuracy of the base station is estimated to be 0.04 m root mean squared (RMS).
The kinematic (rover) trajectories were processed using GrafNav© v8.50 software by Novatel, Inc. A vertical error measurement, RMS is computed for each epoch. The vertical trajectory errors for varied between 0 and 0.25 m.
The combined vertical error from base station coordinate solutions and rover trajectories range from 0 and 0.30 m, with the average approximately 0.15 m.
0.15 m
Static GPS data was processed using NOAA/NGS OPUS software and kinematic GPS data was processed with GrafNav v8.50 software by Novatel.
U.S. Geological Survey
2015
Archive of Bathymetry Data Collected at Cape Canaveral, Florida, 2014
digital tabular data
20140818
20140820
ground condition
USGS
Original processed lidar bathymetric data.
The data were collected using a Cessna 310 aircraft. The EAARL-B laser scanner collects the data using a green-wavelength (532-nanometer) 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.
20140821
Raw sensor data files in binary format and GPS carrier-phase data in binary format.
U.S. Geological Survey
Rudy Troche
Engineer
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
rtroche@usgs.gov
Differentially Corrected Navigation Processing - The coordinate values of the reference GPS base stations obtained from OPUS were provided in IGS08 coordinate system. All survey data for the project were referenced to WGS84. Consequently, reference station coordinates were transformed to WGS84 coordinates using the NOAA/NGS software HTDP v3.2.3. The respective reference (base) station coordinates utilized as reference positions were imported into GrafNav© v8.50 software by Novatel. Differentially corrected rover trajectories were computed using GrafNav© by merging the master and rover the GPS data. During processing, steps were taken to ensure that the trajectories between the base to the rover were clean, resulting in fixed positions. By analyzing the graphs, trajectory maps, and processing logs that GrafNav© produces for each GPS session, GPS data from satellites flagged by the program as having poor health or satellite time segments that had cycle slips could be excluded, or the satellite elevation mask angle could be adjusted to improve the position solutions. The final differentially corrected precise DGPS positions were computed for each rover GPS session. Trajectory files are then merged with inertial motion unit (IMU) data using Novatel/Waypoint Inertial Explorer© software v8.5 to obtain high rate coordinate and attitude information: position, velocity and attitude.
20140910
Aircraft position, velocity and attitude data files in binary format.
Rudy Troche
U.S. Geological Survey
Engineer
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
727-502-8000
rtroche@usgs.gov
The navigational data along with the raw data are downloaded into ALPS, or the Airborne lidar Processing System (20130211-20140219). Data are converted from units of time to x,y,z points for elevation and formatted into .xyz files.
20150130
Fully processed XYZ data in ASCII and binary formats.
U.S. Geological Survey
Rudy Troche
Engineer
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
rtroche@usgs.gov
An automated filter, known as the Random Consensus Filter (RCF), was used to remove outliers from the EAARL-B point cloud data. Parameters for the filter were horizontal window=1,000 cm, vertical window=60 cm.
20140919
Cherokee Nation Technology Solutions, U.S. Geological Survey
Christine Kranenburg
Programmer / Analyst
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
ckranenburg@usgs.gov
A manual, quick cleaning of the data was done to remove obvious noise points not removed by the RCF filter.
20140919
Cherokee Nation Technology Solutions, U.S. Geological Survey
Christine Kranenburg
Programmer / Analyst
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
ckranenburg@usgs.gov
A depth related bias correction of was applied to the point-cloud data to account for a change in configuration and environmental parameters. Data are formatted into .xyz files.
20140827
David Thompson
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
Physical scientists
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
USA
727 502-8000
dthompson@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
0.0000001
0.0000001
decimal degrees
WGS84-G1150
WGS84
6378137.0
298.257223563
NAVD88
0.01
meters
Explicit depth coordinate included with horizontal coordinates
Canaveral_2014-324-FA_EAARL_WGS84_NAVD88_G12a_CCanaveral.xyz, Canaveral_2014-324-FA_EAARL_WGS84_NAVD88_G12a_FalseCape.xyz, Canaveral_2014-324-FA_EAARL_WGS84_NAVD88_G12a_WilsonOEE.xyz
Post-processed, area-specific x,y,z attributed lidar bathymetry data an ASCII text, comma delimited file.
USGS
longitude
WGS84(G1150) x-coordinate (easting) of sample point
ALPS
-80.625
-80.500
decimal degrees
0.00000001
latitude
WGS84(G1150) y-coordinate (northing) of sample point
ALPS
28.375
28.750
decimal degrees
0.00000001
z-ellipsoid height
WGS84(G1150) ellipsoid height of sample point, in meters
ALPS
0.5
-20.0
meters
0.01
z-NAVD88
Orthometric height of sample point, in meters. Relative to geoid model Geoid12a.
ALPS
0.5
-20.0
meters
0.001
Mark E. Hansen
U.S. Geological Survey
Oceanographer
mailing and physical address
600 4th Street South
St. Petersburg
FL
33701
(727) 502-8000
mhansen@usgs.gov
2015 bathymetric data
The data have no explicit or implied guarantees. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), 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 USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.
ASCII
http://pubs.usgs.gov/ds/0957/downloads/Lidar/
none
20201013
U.S. Geological Survey
Mark Hansen
Oceanographer
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
USA
(727) 502-8000
mhansen@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
The U.S. Geological Survey requests that it be referenced as the originator of this dataset in any future products or research derived from these data.
None
Unclassified
None