gov.noaa.nmfs.inport:65631 eng UTF8 dataset Elevation National Geodetic Survey resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-03-04T19:17:26 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2019 NOAA NGS Topobathy Lidar: U.S. Virgin Islands 2021 publication NOAA/NMFS/EDM 65631 https://www.fisheries.noaa.gov/inport/item/65631 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information National Geodetic Survey 1315 East-West Hwy Silver Spring MD 20910 https://geodesy.noaa.gov/ WWW:LINK-1.0-http--link National Geodetic Survey Website Website listed for National Geodetic Survey information originator https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9413/supplemental/PR1801_VI1801_TB_C_Topobathy_Lidar_Project_Report_Final.pdf WWW:LINK-1.0-http--link Project Report Topobathymetric Lidar Data Report download These data were collected by Leading Edge Geomatics using a Riegl VQ-880-G II sensor. The data acqusition began January 20, 2019 through June 2, 2019. The data includes topobathy data in LAS 1.4 format classified as created, never classified (0); unclassified (1); ground (2); noise (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); International Hydrographic Organization S-57 object, not otherwise specified (44); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); bathymetic bottom temporal changes (46) in accordance with project specifications. The US Virgin Islands have been identified as having cirtical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps. National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP) completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9413/supplemental/extent_ngs_vi_topobathy_m9413.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > BEACHES EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION EARTH SCIENCE > SPECTRAL/ENGINEERING > LIDAR theme Global Change Master Directory (GCMD) Science Keywords 17.0 OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > VIRGIN ISLANDS place Global Change Master Directory (GCMD) Location Keywords 20.8 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 DOC/NOAA/NOS/NGS > National Geodetic Survey, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian NGS Lidar project InPort otherRestrictions Cite As: National Geodetic Survey, [Date of Access]: 2019 NOAA NGS Topobathy Lidar: U.S. Virgin Islands [Data Date Range], https://www.fisheries.noaa.gov/inport/item/65631. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 65631 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/65631.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation OS Independent -65.16 -64.534435 17.626749 18.528116 Data only covers coastal area. | Currentness: Ground Condition 2019-01-20 2019-06-02 The full workflow used for this project is found in the final project report submitted to NOAA. false eng false Other NOAA NGS Topobathy Lidar Class Scheme: U.S. Virgin Islands 2024-02-01 publication Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9413 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9413/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Horizontal Positional Accuracy Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Lidar vendors calibrate their lidar systems during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Thirty-one checkpoints were photo-identifiable. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 31.1 cm and RMSEy = 25.4 cm which equates to ACCURACYr = 69.6 cm at 95% confidence level. The results of the small sample set of checkpoints are within the produced to meet horizontal accuracy criteria. Vertical Positional Accuracy The vertical accuracy of the classified lidar was tested by Dewberry with 259 independent survey checkpoints. The survey checkpoints are evenly distributed throughout the project area and are located in areas of non-vegetated terrain, including bare earth, open terrain, and urban terrain (131); vegetated terrain, including forest, brush, tall weeds, crops, and high grass (94); and submerged bottom areas (34). The vertical accuracy is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground and submerged bottom points. Checkpoints are always compared to interpolated surfaces created from the lidar point cloud because it is unlikely that a survey checkpoint will be located at the precise location of a discrete lidar point. All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications require a NVA of 0.196 at the 95% confidence level based on RMSEz (0.1) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications require a VVA of 0.294 based on the 95th percentile. All checkpoints located in bathymetric areas were used to compute an accuracy value for the bathymetric data. Project specifications require the vertical accuracy for bathymetric data to be 0.363 or better at the 95% confidence level based on RMSEz (0.185) x 1.9600. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 0.086, equating to +/- 0.168 at 95% confidence level. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/- 25.1 cm at the 95th percentile. The 5% outliers consisted of 5 checkpoints that are larger than the 95th percentile. These checkpoints had a DZ value of 37.3 cm, 42.3 cm, 35.1 cm, 25.9 cm, and 28.6 cm. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 18.5 cm RMSEz Vertical Accuracy Class. Actual Bathymetric accuracy was found to be RMSEz = 12.1 cm, equating to +/- 0.236 at the 95% confidence level. Completeness Report Data covers the project boundary. Conceptual Consistency Not applicable Data for the Puerto Rico and the US Virgin Islands project was acquired by Leading Edge Geomatics using a Riegl VQ-880-G II sensor. All delivered US Virgin Islands lidar data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 20 North Horizontal Units-meters Vertical Datum-NAD83 (2011) Vertical Units-meters Both green lidar data and NIR lidar data were acquired. Leading Edge Geomatics acquired, calibrated, and performed refraction correction for the lidar data. 2020-01-22T00:00:00 NGS Communications and Outreach Branch (301) 713-3242 ngs.infocenter@noaa.gov processor Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths was verified through the use of Delta-Z (DZ) orthos created in GeoCue software. Intraswath relative accuracy was verified using Quick Terrain Modeler. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry then verified absolute vertical accuracy of the swath data prior to full-scale production. Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry used rasterized aggregate extents of refracted points to create automated 2-D breaklines with LAStools and ArcGIS. Light travels at different speeds in air versus water and its speed and direction of travel change when it enters the water column. The refraction correction process accounts for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar points acquired within water. These breaklines delineate areas where the refraction correction was applied to the lidar data by Riegl's automated refraction correction software based on the software's detection of water. Where the automated process missed discrete water bodies that did not contain valid bathymetry (submerged topography) data, breaklines were manually drawn and added to a separate feature class to ensure the correct classification of the point cloud. Dewberry used the 2-D refraction extents and additional bathy features to classify the bathymetric bottom and ground points properly in TerraScan. All lidar data was peer-reviewed. Dewberry's QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data are in LAS format 1.4 and point data record format 6. The final classificaton scheme is as follows: 0-Created, never classified 1-Unclassified 2-Ground 7-Noise 40-Bathymetric bottom 41-Water surface 42-Derived water surface 43-Submerged object, not otherwise specified 44-International Hydrograpic Organization (IHO) S-57 objects 45-No bottom found (bathymetric lidar point for which no detectable bottom return was received) 46-Bathymetric bottom temporal changes All data was then verified by an Independent QC department within Dewberry. The independent QC was performed by separate analysts who did not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews. 2021-01-22T00:00:00 The NOAA Office for Coastal Management (OCM) received files in laz format. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 19 and UTM Zone 20 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 19 and UTM Zone 20 to geographic coordinates 2. Sorted by gps time 2021-10-08T00:00:00 Office for Coastal Management processor Acquisition Leading Edge Geomatics originator Processing Dewberry originator