38942
GeoTIFF of 3x3 m Bathymetry for St. Thomas & St. John, 2011, UTM 20N NAD83
NPS11_STTSTJ_Shoals_LiDAR_Bathy_3m_Metadata
Data Set
Published / External
37205
SeafloorMapping_USCaribbean_2004toOngoing
Project
Completed
2011
This image represents a LiDAR (Light Detection & Ranging) 3x3 meter resolution bathymetric surface for an area of shallow seabed surrounding St. Thomas and St. John (STT/STJ)in the U.S. Virgin Islands (USVI). The image's horizontal coordinate system is NAD83 UTM 20 North, and depth values are in meters referenced to Mean Lower Low Water (MLLW) heights. Fugro LADS, in collaboration with NOAA's NOS/NCCOS/CCMA Biogeography Branch, the University of New Hampshire and the National Park Service, acquired bathymetry, relative seafloor reflectivity and hyperspectral imagery in STT/STJ on thirteen different sorties from 1/29/2011 to 2/28/2011. Hyperspectral data were acquired using a Hyspex VNIR-1600 sensor. Bathymetry and reflectivity data were acquired using a LADS (Laser Airborne Depth Sounder) Mark II Airborne System from altitudes between 1,200 and 2,200ft at ground speeds between 140 and 210 knots. The 900 Hertz Nd: YAG (neodymium-doped yttrium aluminum garnet) laser (1064 nm) acquired 3x3 meter spot spacing and 200% seabed coverage. In total, 168.1 square kilometers of LiDAR were collected between 0 m and 40 m in depth. Environmental factors such as wind strength and direction, cloud cover, water clarity and depth influenced the area of data acquisition on a daily basis. The data was processed using the LADS Mark II Ground System and data visualization, quality control and final products were created using CARIS HIPS and SIPS and CARIS BASE Editor. All users should individually evaluate the suitability of this data according to their own needs and standards.
This LiDAR collection is an important effort in an ongoing NOAA scientific research mission in the US Caribbean to characterize nearshore to deep water coral reef habitats at depths down to 1,000 meters. The mission purpose is to better understand the resources within the surveyed reef habitats, and ultimately develop species utilization models linking physical habitats with biological information. The acquired bathymetry, relative seafloor reflectivity, and hyperspectral imagery will be used internally to characterize sea floor topography and to create benthic habitat maps, helping NOAA meet its mapping commitment to the US Coral Reef Task Force. The resulting publicly-distributed data is also a contribution to the greater scientific community interested in the USVI seafloor.
795
Theme
ISO 19115 Topic Category
elevation
Theme
ISO 19115 Topic Category
environment
Theme
ISO 19115 Topic Category
geoscientificInformation
Theme
ISO 19115 Topic Category
imageryBaseMapsEarthCover
Theme
ISO 19115 Topic Category
oceans
Theme
CoRIS Discovery Thesaurus
Geographic Information > Bathymetry
Theme
CoRIS Discovery Thesaurus
Geographic Information > LiDAR
Theme
CoRIS Theme Thesaurus
EARTH SCIENCE > Biosphere > Aquatic Habitat > Reef Habitat > Description
Theme
CoRIS Theme Thesaurus
EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
Theme
NOS Data Explorer Topic Category
Bathymetry/Topography
Theme
Bathymetry
Theme
Benthic
Theme
Biogeography
Theme
Coral
Theme
Depth
Theme
GIS
Theme
Habitat
Theme
IOCM
Theme
Integrated Ocean and Coastal Mapping
Theme
LADS Mark II
Theme
Lidar
Theme
NOAA
Theme
NPS
Theme
Reef
Theme
Seafloor
Theme
St. John
Theme
St. Thomas
Theme
US Virgin Islands
Theme
USVI
Theme
VICRNM
Theme
VINP
Theme
Virgin Islands Coral Reef National Monument
Theme
Virgin Islands National Park
Temporal
2011
Spatial
placekt: CoRIS Place Thesaurus
COUNTRY/TERRITORY > United States of America > U. S. Virgin Islands > St. John > St. John (18N064W0011)
Spatial
placekt: CoRIS Place Thesaurus
COUNTRY/TERRITORY > United States of America > U. S. Virgin Islands > St. Thomas > St. Thomas (18N064W0033)
Spatial
placekt: CoRIS Place Thesaurus
COUNTRY/TERRITORY > United States of America > U. S. Virgin Islands > U. S. Virgin Islands > U. S. Virgin Islands (17N064W0000)
Spatial
placekt: CoRIS Place Thesaurus
OCEAN BASIN > Atlantic Ocean > Caribbean Sea > Virgin Islands > Lesser Antilles > U. S. Virgin Islands (17N064W0000)
National Centers for Coastal Ocean Science
Silver Spring
MD
Data Set
As Needed
remote-sensing image
These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.
Data Steward
2011
Position
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Distributor
2011
Position
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Metadata Contact
2011
Position
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Point of Contact
2011
Position
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Principal Investigator
2011
Person
Battista, Tim
tim.battista@noaa.gov
Ground Condition
-65.07231
-64.632056
18.420755
18.276346
Range
2011-01-29
2011-02-28
Yes
3
Point
No
Row
5486
Column
15457
Vertical
1
Unclassified
Please cite any use of this data.
Note: NOT TO BE USED FOR NAVIGATION. These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.
http://coastalscience.noaa.gov/projects/detail?key=263
Data available upon request
GeoTIFF
GeoTIFF
323.0
http://coastalscience.noaa.gov/projects/detail?key=263
Online Resource
2015-09-22
Date that the source FGDC record was last modified.
2017-04-05
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2017-09-13
Partial upload of Spatial Info section only.
2017-11-01
Replaced entire Lineage section to populate new Source Contribution field.
2018-02-08
Partial upload of Positional Accuracy fields only.
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000
None.
None.
This GeoTIFF is sourced from a gridded dataset. The original full-resolution Lidar data was used to create a downsampled uniform-resolution surface in CARIS.
All users should independently analyze the dataset according to their own needs and standards to determine data usability.
CARIS BASE Surface
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch
Range
2011-02
2011-03
Downsampled CARIS BASE (Bathymetry Associated with Statistical Error) grid with best depth layer. Sourced from processed HDCS data. | Source Geospatial Form: raster digital data | Type of Source Media: external hard drive
Processed Lidar Data
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch
Range
2011-02
2011-03
Processed, cleaned, and corrected full resolution dataset. Sourced from raw LADS data. | Source Geospatial Form: digital data | Type of Source Media: external hard drive
Raw Lidar Data
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch
Range
2011-01-29
2011-02-28
Original raw full resolution dataset. | Source Geospatial Form: digital data | Type of Source Media: external hard drive
STT_STJ_Bathy_3m.tif
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch
2011-01-01
Range
2011-02
2011-03
Downsampled GeoTIFF raster containing depth values in meters (referenced to MLLW). Sourced from CARIS BASE surface. | Source Geospatial Form: raster digital data | Type of Source Media: external hard drive
1
James Guilford and Scott Ramsay from Fugro LADS lead this mapping effort. Hyperspectral data were acquired using a Hyspex VNIR-1600 sensor. Bathymetry and reflectivity data were acquired using a LADS (Laser Airborne Depth Sounder) Mark II Airborne System from altitudes between 1,200 and 2,200ft at ground speeds between 140 and 210 knots. The 900 Hertz Nd: YAG (neodymium-doped yttrium aluminum garnet) laser (1064 nm) acquired 3x3 meter spot spacing and 200% seabed coverage. Green laser pulses are scanned beneath the aircraft in a rectilinear pattern. The pulses are reflected from the land, sea surface, within the water column and from the seabed. The height of the aircraft is determined by the infrared laser return, which is supplemented by the inertial height from the Attitude and Heading Reference System and GPS height. Real-time positioning is obtained by an Ashtech GG24 GPS receiver combined with Wide Area DGPS (Differential Global Positioning System) provided by the Fugro Omnistar to provide a differentially corrected position. Ashtech Z12 GPS receivers are also provided as part of the Airborne System and Ground Systems to log KGPS (Kinetic Global Positioning System) data on the aircraft and at a locally established GPS (Global Positioning System) base station.
2011-01-01T00:00:00
Raw Lidar Data
2
The reflectivity of an LADS pulse is a measure of the amount of energy reflected from the seabed for each individual laser pulse at the wavelength of the laser, 532nm (green/blue). The basic difference between processing an ALB waveform for depth and for reflectivity is that depth processing focuses on the leading edge of the return waveform, whereas reflectivity requires integration of the entire return pulse. Each sounding is assessed for suitability. Dry soundings and soundings in very shallow water are not processed for reflectivity. Each sounding is normalized for the electronic gain applied to the photo multiplier tube to which the received laser energy is optically routed. The gain-normalized return waveform is then analyzed to determine energy returning from the seabed. Integration of the waveform from the seabed will produce a numerical value of reflectivity. To ensure that this value accurately and meaningfully describes variation in seabed reflectivity several parameters must be taken into consideration. Energy is lost from the pulses transmitted from the aircraft. These losses include the air/water interface and those through the water column, and any system specific losses such as optical filtering and receiver field of view. Reflectivity value, calculated for each pulse, is the ratio between the received energy normalized for the losses described and the transmitted energy. Once a relative reflectivity value has been calculated, further statistical cleaning to remove outliers is completed. Because the dataset is of relative reflectivity rather than an absolute value for each point, the entire dataset is scaled to ensure the full dynamic range is used over the dataset. This scaling is applied over an entire survey area to ensure dataset consistency (Collins et al. 2007). Collins et al. 2007 is available online here: http://www.fugrolads.com/datasheets/Hydro_Intl_LiDAR_Seabed_Classification.pdf | Source Produced: Processed Lidar Data
2011-01-01T00:00:00
Raw Lidar Data
gov.noaa.nmfs.inport:38942
Tyler Christensen
2017-04-05T12:49:59
SysAdmin InPortAdmin
2023-10-17T16:12:11
2018-02-08
National Centers for Coastal Ocean Science
NCCOS
1002
Public
No
2018-02-08
1 Year
2019-02-08