gov.noaa.nmfs.inport:63017 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 2018-2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Keys, FL 2020-10-02 publication NOAA/NMFS/EDM 63017 https://www.fisheries.noaa.gov/inport/item/63017 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9081/supplemental/NOAA_Supplemental_Irma_Topobathymetric_LiDAR_and_Shoreline_Mapping_Report.pdf WWW:LINK-1.0-http--link Report Acquisition and Processing Report download 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 The NOAA Hurricane Irma Supplemental Topobathymetric LiDAR Project area data were collected by Quantum Spatial, Inc. (QSI) using three Riegl systems: a Riegl VQ-880-G+, a Riegl VQ-880-GII, and a Riegl VQ-880-GH. The NOAA Hurricane Irma project acquisition dates spanned from 20181120-20190323 in 85 missions. This project dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 2 - ground 7 - noise 40 - bathymetric bottom or submerged topography 41 - water surface 43 - submerged feature 45 - water column 46 - overlap bathy bottom - temporally different from a separate lift 71 - unclassified associated with areas of overlap bathy bottom/temporal bathymetric differences 72 - ground associated with areas of overlap bathy bottom/temporal bathymetric differences 81 - water surface associated with areas of overlap bathy bottom/temporal bathymetric differences 85 - water column associated with areas of overlap bathy bottom/temporal bathymetric differences 1 Overlap - edge clip Please note that classifications 46,71,72,81, and 85 associated with temporal bathymetric differences have only undergone automated classification and have not been manually reviewed. This data set also includes LiDAR intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area consists of approximately 1,381,270 acres and stretches from the eastern coast of Miami, south and westward to the Marquesas Keys. LAS files were compiled in 500 m x 500 m tiles. This complete project dataset is comprised of 23,926 - 500 m x 500 m LAS tiles. This lidar data was required by National Oceanic and Atmospheric Administration (NOAA) and 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. 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/geoid18/9081/supplemental/extent_NGS_miamiToMarquesas_m9081.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 beach erosion theme 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]: 2018-2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Keys, FL [Data Date Range], https://www.fisheries.noaa.gov/inport/item/63017. 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 63017 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/63017.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US elevation OS Independent -82.22 -80.082921 24.435024 25.800918 | Currentness: Ground Condition 2018-11-20 2019-03-23 The NOAA Hurricane Irma Project data includes 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. Submerged topography elevations were adjusted to correct for sensor depth bias on a per sensor basis using NOAA provided ground truth data. Intensity values of bathymetric bottom returns were normalized for water depth. Total propagated uncertainty (TPU) values were calculated for the bathymetry data. The full workflow used for this project will be documented in the NOAA Hurricane Irma final technical report, provided upon project completion. false eng false Other NOAA NGS Topobathy Lidar Class Scheme: Hurricane Irma 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=9081 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/geoid18/9081/index.html 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 LiDAR horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Based on a flying altitude of 400 meters, an IMU error of 0.005 decimal degrees, and a GNSS positional error of 0.023 meters, the RMSEr value for the NOAA Hurricane Irma Florida Keys Topobathymetric LiDAR dataset is 0.067 m, with a ACCr of 0.115 meters at the 95% confidence level. The project specification requires horizontal positions to be accurate to 1.0m(RMSE). Vertical Positional Accuracy Absolute accuracy was assessed using Non-Vegetated Vertical Accuracy (NVA) survey methods. Survey check points were evenly distributed as feasible throughout the project area. NVA compares known ground check point data that were withheld from the calibration and post-processing of the LiDAR point cloud to the triangulated surface generated by the unclassified LiDAR point cloud. NVA is a measure of the accuracy of LiDAR point data in open areas with level slope (less than 20 degrees) where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*RMSE). In the NOAA Hurricane Irma Project area, 36 survey check points were used to assess the non-vegetated vertical accuracy. Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval. Bathymetric vertical accuracy was assessed separately using submerged survey check points. In the NOAA Hurricane Irma Project area, 509 submerged survey check points were used to assess the submerged topography accuracy. Project specifications require submerged topography shall meet a vertical RMSE of QL2b specified in the Draft National Coastal Mapping strategy 1.0 which is equivalent to 0.30 m RMSE at a depth of 1 m. Please refer to the NOAA Hurricane Irma Project technical data report for final accuracies, to be provided upon project completion. The NOAA Hurricane Irma Project dataset Non-Vegetated Vertical Accuracy tested 0.080 m vertical accuracy at the 95% confidence level against the unclassified LiDAR point cloud in open terrain using 8 ground check points, based on RMSEz (0.041 m) x 1.9600. The NOAA Hurricane Irma Project dataset submerged topography accuracy tested 0.110 m vertical accuracy at the 95% confidence level against the classified points cloud using 509 submerged check points, based on RMSEz (0.056 m) x 1.9600. Submerged topography checkpoints usually occur in depths up to 1m. Completeness Report Data covers the project boundary. Conceptual Consistency Not applicable Data for the NOAA Hurricane Irma LiDAR project was acquired by Quantum Spatial (QSI) using Riegl VQ-880-GII, Riegl VQ-880-GH, and Riegl VQ-880-G+ Topobathy LiDAR systems. All LAS data is referenced to: Horizontal Datum-NAD83(2011) epoch: 2010.00 Projection-UTM Zone 17N Horizontal Units-meters Vertical Datum-GRS80 Ellipsoid Vertical Units-meters This project dataset encompasses 23,926 - 500m x 500m tiles in south Florida and the Florida Keys. The collected LiDAR data were immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in Applanix POSPAC MMS 8.3 SP3 and loaded into RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated raster generation using LAStools to develop an initial assessment of bathymetric coverage. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. These rasters were also used to create an initial product in Quick Look Coverage Maps. These Quick Look files are not fully processed data or final products but provide rapid assessment of approximate coverage and depth penetration. QSI resolved kinematic corrections for aircraft position data using aircraft GNSS and Applanix's proprietary PP-RTX solution. When PP-RTX was not used QSI conducted static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) using base stations over known monument locations during flights. After the airborne survey, static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same base station were performed to confirm antenna height measurements and to refine position accuracy. This data was used to correct the continuous onboard measurements of the aircraft position recorded throughout the flight. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Using the SBETs, sensor head position and attitude were then calculated throughout the survey. PosPac MMS 8.3 SP3 was used for these processes. 2020-04-01T00:00:00 National Geodetic Survey processor Following final SBET creation, QSI used RiProcess 1.8.5 to calculate laser point positioning by associating SBET positions to each laser point return time, scan angle, and intensity. Terra 19 and LasTools were used to classify water surface and create a water surface model. They are created for single swaths to ensure temporal differences and wave or water surface height variations between flight lines do not impact the refraction of the bathymetric data. These models are used in QSI's LasMonkey refraction tool to determine the accurate positioning of bathymetric points. All LiDAR data below water surface models were classified as water column to be refracted. Light travels at different speeds in air versus water and its direction of travel or angle is changed or refracted when entering the water column. The refraction tool corrects for this difference by adjusting the depth (distance traveled) and horizontal positioning (change of angle/direction) of the LiDAR data. Using raster-based QC methods, the output data is verified to ensure the refraction tool functioned properly. Once all data was refracted by flight line data was exported to LAS 1.4 format and combined into 500 m x 500 m tiles. Data were then further calibrated using TerraMatch. QSI used custom algorithms in TerraScan to classify the initial ground/submerged topography surface points. Relative accuracy of overlapping swaths was compared and verified through the use Delta-Z (DZ) orthos created using QSI's Las Product Creator. Absolute vertical accuracy of the calibrated data was assessed using ground survey data and complete coverage was again verified. 2020-04-01T00:00:00 National Geodetic Survey processor Post automated classification QSI then performed manual editing to review all classification and improve the final topobathymetric surface. QSI's LasMonkey was used to update LAS header information, including all projection and coordinate reference system information. The LiDAR data are in LAS format 1.4 and point data record format 6. The classification scheme of the delivered LiDAR is as follows: 1 - Unclassified 2 - Ground 7 - Noise 40 - Bathymetric Bottom or Submerged Topography 41 - Water Surface 43 - Submerged feature 45 - Water Column 46 - Temporal Bathymetric Bottom 71 - Overlap Default 72 - Overlap Ground 81 - Overlap Water Surface 85 - Overlap Water Column 1-Overlap - Edge Clip 2020-04-01T00:00:00 National Geodetic Survey processor 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 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 17 to geographic coordinates 2. Sorted by gps time. 3. Moved data from class 46 and 72 to class 22 and classes 71, 81 and 85 to class 1 The final classification scheme is as follows: 1 - Unclassified 2 - Ground 7 - Noise 22 - Temporal Exclusion 40 - Bathymetric Bottom or Submerged Topography 41 - Water Surface 43 - Submerged feature 45 - Water Column Office for Coastal Management processor Acquisition and Processing Quantum Spatial (QSI) originator