gov.noaa.nmfs.inport:51348 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 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2016 NOAA NGS Topobathy Lidar: Puerto Rico 2018-02-14 publication NOAA/NMFS/EDM 51348 https://www.fisheries.noaa.gov/inport/item/51348 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information NGS Communications and Outreach Branch (301) 713-3242 (301) 713-4172 ngs.infocenter@noaa.gov originator https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Data Access Viewer for discovering coastal imagery, land cover, and elevation data download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Web page for the NOAA Office for Coastal Management download https://coast.noaa.gov/dataregistry WWW:LINK-1.0-http--link Citation URL Web page to the Digital Coast for finding coastal data download These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ-880G system. The data were acquired from 20160219- 20160331 in twenty missions. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), bathy noise (22), water column (25), bathymetric bottom or submerged topography (26), water surface (27), derived water surface in accordance with project specifications. The project consists of 309.3 square miles along the shores of Puerto Rico. This dataset contains 3463 - 500 m x 500 m lidar tiles. This lidar data was required by the National Geodetic Survey (NGS), Remote Sensing Division Coastal Mapping Program (CMP) to enable accurate and consistent measurement of the national shoreline. The CMP works to provide a regularly updated and consistent national shoreline to define America's marine territorial limits and manage coastal resources. We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation. 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 notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > PUERTO RICO place Global Change Master Directory (GCMD) Location Keywords 20.8 20160219 20160222 20160223 20160224 20160301 20160302 20160312 20160314 20160315 20160316 20160317 20160322 20160323 20160324 20160325 20160328 20160329 20160331 temporal 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]: 2016 NOAA NGS Topobathy Lidar: Puerto Rico [Data Date Range], https://www.fisheries.noaa.gov/inport/item/51348. 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 National Geodetic Survey, the Office for Coastal Management, or its partners. unclassified 2016 NOAA NGS Topobathy Lidar DEM: Puerto Rico NOAA/NMFS/EDM 51328 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 51348 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/51348.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 -67.296377 -65.539127 17.850323 18.528369 | Currentness: Ground Condition 2016-02-19 2016-03-31 Data include all lidar returns. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Data for the Puerto Rico Topobathy LiDAR project was acquired by NOAA using a Riegl VQ-880G Topobathy LiDAR systems. All delivered LiDAR data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 19 Horizontal Units-meters Vertical Datum-NAD83 (2011) epoch: 2010 (ellipsoid heights) Vertical Units-meters This dataset encompasses 3,463 500m x 500m tiles in Puerto Rico. Green LiDAR data was acquired. NOAA acquired and calibrated the LiDAR data. false eng false Other NOAA NGS Topobathy Lidar Class Scheme: Puerto Rico 2024-02-01 publication Zip Zip Zip Zip KML/KMZ - Keyhole Markup Language 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=8463 WWW:LINK-1.0-http--link https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8463 Link to custom download points, grids, or contours from the Data Access Viewer (DAV) download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/index.html WWW:LINK-1.0-http--link https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/index.html Link to bulk LAZ files download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/supplemental/pr2016_ngs_topobathy_lidar_m8463.kmz WWW:LINK-1.0-http--link https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/supplemental/pr2016_ngs_topobathy_lidar_m8463.kmz This graphic displays the footprint for this lidar data set. download dataset Accuracy The horizontal data positions were obtained using post processed KGPS methods. Data used to test the lidar was collected with Static GPS Observations and compared against the published data. The vertical accuracy of the data is better than plus or minus 0.15 m at 1 sigma. Horizontal Positional Accuracy 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. Vertical Positional Accuracy The vertical accuracy of the data is plus or minus 0.15 m at 1 sigma. Quantitation Limits 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. Comparability 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. Horizontal positional accuracy is achieved through rigorous processing of airborne GPS and IMU, use of control, and calibration procedures. Accuracy assessment of these lidar data was performed by NOAA while calibrating the missions. Dewberry did not perform independent accuracy testing on this dataset. This dataset encompasses 3,463 500m x 500m tiles in Puerto Rico. Green LiDAR data was acquired. NOAA acquired and calibrated the LiDAR data. Dewberry received the calibrated green data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths was verified through the use Delta-Z (DZ) orthos created in GeoCue software. Dewberry used E-Cognition to create 2D breaklines representing land/water interfaces. These 2D breaklines were manually reviewed and adjusted where necessary to ensure all well-defined hydrographic features (at 1:1200-scale) were represented with breaklines. Using TerraScan, all green LiDAR data within breaklines are classified as water column and a sub-set of these points meeting specific criteria are classified as green water surface points. Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry then performed manual editing to review and improve the final topobathy surface. All LiDAR data was peer-reviewed. Dewberry's internal QC 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 1.2 and point data record format 3. The final classificaton scheme is as follows: 1-Unclassified 2-Ground 7-Topo Noise 22-Bathy Noise 25-Water Column 26-Bathymetric Bottom or Submerged Topography 27-Water Surface 28-Derived Water Surface 29-Submerged Object 30-International Hydrograpic Organization (IHO) S-57 objects Dewberry then produced the final void layer and final set of DZ orthos using the final ground (2) and submerged topography (26) classes. All data is then verified by an Independent QC department within Dewberry. The independent QC is performed by separate analysts who do not perform manual classification or editing. The independent QC involves quantitative and qualitative reviews. 2017-06-01T00:00:00 The NOAA Office for Coastal Management (OCM) received files in las format. The files contained lidar elevation and intensity measurements of the Florida Keys Outer Reef Block 01. The data were in UTM Zone 17 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 to geographic coordinates 2. Sorted by gps time 3. Compressed the data using laszip 4. Reclassified class 22 (Bathy Noise) to 1 (Unclassified). 2018-01-31T00:00:00 Office for Coastal Management processor Lidar