gov.noaa.nmfs.inport:48219 eng UTF8 dataset Office for Coastal Management 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2013 NOAA Topographic Lidar: U.S. Virgin Islands (St. Croix, St. John, St. Thomas) usvi2013_stc_stj_stt_m3669_metadata 2014-08-18 publication NOAA/NMFS/EDM 48219 https://www.fisheries.noaa.gov/inport/item/48219 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download The United States Virgin Islands Topographic LiDAR project collected topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the islands of St. Thomas, St. John, St. Croix and numerous smaller islands and islets in the United States Virgin Islands. The islands of St. Thomas and St. John were acquired between November 9, 2013 and November 19, 2013. The island of St. Croix was acquired between November 27, 2013 and December 10, 2013. The entire area was comprised of 88 planned flight lines and approximately 1669 flight line kilometers. LiDAR was collected at an average of 0.7 meter point spacing for all acquired project areas. The classification classes as available from the NOAA Digital Coast are: 1 (Unclassified), 2 (Bare-earth ground), 7 (Noise), 9 (Water), 10 (Ignored Ground, points close to breakline features), 16 (Overlap Water), 17 (Overlap Unclassified), 18 (Overlap Bare-earth ground). Hydro flattened breaklines and Digital Elevation Models (DEMs) are also available for download. Please see the Supplemental Information field below for links to these data sets. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. 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 pointOfContact 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 unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669.kmz This graphic shows the lidar coverage for this data set. kmz EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > VIRGIN ISLANDS place Global Change Master Directory (GCMD) Location Keywords 23.3 EARTH SCIENCE > Land Surface > Topography > Terrain Elevation theme CoRIS Theme Thesaurus COUNTRY/TERRITORY > United States of America > U. S. Virgin Islands > U. S. Virgin Islands > U. S. Virgin Islands (17N064W0000) OCEAN BASIN > Atlantic Ocean > Caribbean Sea > Virgin Islands > Lesser Antilles > U. S. Virgin Islands (17N064W0000) place CoRIS Place Thesaurus Point Cloud Data theme DOC/NOAA/NOS/OCM > Office of Coastal Management, 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). 2026. GCMD Keywords, Version 24. 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 Lidar project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2013 NOAA Topographic Lidar: U.S. Virgin Islands (St. Croix, St. John, St. Thomas) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48219. 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: None, however, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of the data may no longer represent actual surface conditions. Users should not use the 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 the National Oceanic and Atmospheric Administration (NOAA), the National Ocean Service (NOS), the Office for Coastal Management (OCM) or its partners. unclassified vector eng; US elevation -65.093469 -64.561957 17.670388 18.423828 | Currentness: Ground Condition 2013-11-09 2013-12-10 The Post-Flight Aerial Acquisition and Calibration Report for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669_post_flight_report.pdf The Quality Assurance Review Report for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669_qa_report.pdf The Check Point Survey Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669_chk_pnt_report.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669.kmz The hydrologically flattened breaklines may be accessed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/breaklines/ The hydrologically flattened 1 m raster bare earth DEMs may be accessed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/dems/ 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=3669 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The project area requires LiDAR to be collected on average of 0.7 meter point spacing or better and vertical accuracy of 9.25 centimeters RMSE or better to support 1' contour generation when combined with breaklines. Horizontal Positional Accuracy The LiDAR data was compiled to meet a 1 meter horizontal accuracy. The calibration of the LiDAR sensor itself and the calibration process of the data produced by this sensor ensure that this accuracy is met.; Quantitative Value: 1.0 meters, Test that produced the value: Value stated in meters Vertical Positional Accuracy NOAA OCM conducted the vertical accuracy assessment for this data set. Eighty ground control points were collected on all three islands. The following are the number of points collected per island: St. Croix (31), St. John (19), St. Thomas (30). The accuracy specification called for a 9.25 cm Root Mean Square Error (RMSE) for all the islands. St. John and St. Thomas met this specification, however, St. Croix did not. The RMSE values for each island are as follows: St. Croix (14 cm), St. John (7 cm), St. Thomas (8 cm). The all islands RMSE value is 11 cm. The Quality Assurance Review Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669_qa_report.pdf The Check Point Survey Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/3669/supplemental/usvi2013_stc_stj_stt_m3669_chk_pnt_report.pdf ; Quantitative Value: 0.11 meters, Test that produced the value: RMSE in meters of classified LiDAR Completeness Report Datasets contain complete coverage of tiles. Conceptual Consistency Classified LAS were tested by Photo Science, Inc. for vertical accuracy. All data are seamless from one tile to the next, no gaps or no data areas. Applanix + POSPac Mobile Mapping Suite software was used for post-processing of airborne GPS and inertial data (IMU), which is critical to the positioning and orientation of the LiDAR sensor during all flights. POSPac combines aircraft raw trajectory data with stationary GPS base station data yielding a Smoothed Best Estimate Trajectory (SBET) necessary for additional post processing software to develop the resulting geo-referenced point cloud from the LiDAR missions. During the sensor trajectory processing (combining GPS and IMU datasets) certain statistical graphs and tables are generated within the Applanix POSPac processing environment which are commonly used as indicators of processing stability and accuracy. This data for analysis include: Max horizontal / vertical GPS variance, separation plot, altitude plot, PDOP plot, base station baseline length, processing mode, number of satellite vehicles, and mission trajectory. The generated point cloud is the mathematical three dimensional composite of all returns from all laser pulses as determined from the aerial mission. Point clouds were created using the Leica ALS Post Processor software. Laser point data are imported into TerraScan and a manual calibration is performed to assess the system offsets for pitch, roll, heading and scale. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above-ground features are removed from the data set. GeoCue distributive processing software was used in the creation of some files needed in downstream processing, as well as in the tiling of the dataset into more manageable file sizes. TerraScan and TerraModeler software packages were then used for the automated data classification, manual cleanup, and bare earth generation. Project specific macros were developed to classify the ground and remove side overlap between parallel flight lines. The classes used in the dataset are as follows and have the following descriptions: Class 1 (Processed, but Unclassified) These points would be the catch all for points that do not fit any of the other deliverable classes. This would cover things like vegetation, buildings, cars, bridges, etc. Class 2 (Bare earth ground) This is the bare earth surface Class 7 (Noise) Low or high points, manually and/or automatically identified above or below the surface that could be noise points in point cloud. Class 9 (Water) Points found inside of inland lake/ponds, rivers or points on the ocean side of any shoreline feature. Class 10 (Ignored Ground) Points found to be close to breakline features. Points are typically moved to this class from Class 2. This class is ignored during the DEM creation. Class 17 (Overlap Default (Unclassified)) Points found in the overlap between flight lines. These points are created through automated processing methods and are not cleaned up during manual classification. Class 18 (Overlap Bare earth ground) Points found in the overlap between flight lines. These points are created through automated processing, matching the specifications determined during the automated process, that are close to the Class 2 dataset (when analyzed using height from ground analysis) Class 25 (Overlap Water) Points found in the overlap between flight lines that are located inside hydro features. These points are created through automated processing methods and are not cleaned up during manual classification. 2014-01-01T00:00:00 All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare earth surface is finalized; it is then used to generate all hydro-breaklines through heads-up digitization. Class 2 LIDAR was used to create a bare earth surface model. The surface model and LAS intensity were then used to heads-up digitize 2D breaklines of inland streams and rivers as well as the ocean shoreline. Inland Ponds and Lakes of 2 acres or greater were also collected. All ground (ASPRS Class 2) LiDAR data inside of the collected hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. LAS data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue functionality was used to ensure correct LAS Version. In house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. 2014-01-01T00:00:00 The lidar files were received by the NOAA Office for Coastal Management for incorporation into the NOAA Digital Coast. The data consisted of 358 lidar files. The data were in LAS format 1.2 and were in UTM, Zone 20, NAD83, meters coordinates. The data were in Virgin Islands Vertical Datum (VIVD09), meters vertical units. The classifications of the data were: 1 (Unclassified), 2 (Ground), 7 (Noise), 9 (Water), 10 (Ignored Ground, breakline proximity), 17 (Overlap Unclassified), 18 (Overlap Ground), 25 (Overlap Water). For Digital Coast data storage and provisioning purposes, the NOAA OCM performed the following processing: 1. The data were reviewed for any elevation outliers. 2. The data were converted from UTM, Zone 20 coordinates to geographic coordinates. 3. The data were converted from VIVD09 elevations to ellipsoid elevations using Geoid12a. 4. The points that were classified as 25 (Overlap Water) were reclassified to 16 (Overlap Water). 5. The global encoding bit in the las file headers was changed from 0 to 1. 6. The data were converted from las to laz format. 2014-05-13T00:00:00 Source Contribution: LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: Hard Drive LiDAR 2014-01-01 publication 2013-11-09 2013-12-10