gov.noaa.nmfs.inport:80157 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 2026-08-19T18:32:55 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2024-2025 NOAA NGS Topobathy Lidar DEM: Appalachia Rivers 2026 creation publication NOAA/NMFS/EDM 80157 https://www.fisheries.noaa.gov/inport/item/80157 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/geoid18/14842/supplemental/NOAA_Appalachia_Riverine_Topobathymetric_Lidar_Report_Final_Signed.pdf WWW:LINK-1.0-http--link Topobathy Lidar Data Report Topobathy Lidar Data Report download NOAA Appalachia Topobathymetric Lidar data were collected by NV5 using Leica Chiroptera 4X and Leica Chiroptera 5 systems. The data was acquired between 20240907 and 20250805 in 99 missions. The final classified lidar data were transformed from ellipsoid (GRS80) to NAVD88 geoidal height (Geoid18) and used to create topobathymetric DEMs in Cloud Optimized GeoTIFF format with 1m pixel resolution. 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 support national shoreline characterization along stretches of the Allegheny, SW Lake Ontario, Genesee, Clarion, Youghiogheny and Monongahela Rivers in Pennsylvania, New York, and West Virginia. Additionally, data will be utilized to enable accurate and consistent hydrologic flood and weather monitoring in support of the National Water Center's modeling efforts. 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 custodian notPlanned EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > PENNSYLVANIA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WEST VIRGINIA place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 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). 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 NGS Lidar project InPort otherRestrictions Cite As: National Geodetic Survey, [Date of Access]: 2024-2025 NOAA NGS Topobathy Lidar DEM: Appalachia Rivers [Data Date Range], https://www.fisheries.noaa.gov/inport/item/80157. 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 2024-2025 NOAA NGS Topobathy Lidar: Appalachia Rivers NOAA/NMFS/EDM 80155 crossReference eng; US elevation OS Independent Block 1 -79.28 -77.87 41.8 42.77 | Currentness: Ground Condition 2024-10-10 2024-10-25 Block 2 -80.48 -79.82 38.78 40.28 | Currentness: Ground Condition 2024-09-07 2024-10-28 Block 3 -80.03 -78.84 39.08 40.73 | Currentness: Ground Condition 2024-10-04 2025-08-05 Block 4 -80.17 -78.63 40.71 41.95 | Currentness: Ground Condition 2024-10-09 2025-07-30 The NOAA Appalachia Topobathymetric Lidar data includes all lidar returns within the project's buffered boundary. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), 40 (submerged topography), 43 (submerged object), and 46 (submerged aquatic vegetation) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Appalachia Topobathymetric Lidar final report. ZIP Zip GeoTIFF 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=14855 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/dem/NGS_Appalachia_Rivers_Topobathy_2024_14855/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset 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 (ACCr). 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 ground classified lidar point cloud. NVA is a measure of the accuracy of lidar point data in open areas with level slope (less than 20°) where the lidar system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*RMSE). Bathymetric topography points were tested separately. Horizontal Positional Accuracy Block 1: RMSEr is 0.025 meters, with a ACCr of 0.044 meters at the 95% confidence level. Block 2: RMSEr is 0.026 meters, with a ACCr of 0.045 meters at the 95% confidence level. Block 3: RMSEr is 0.013-0.019 meters, with a ACCr of 0.022-0.034 meters at the 95% confidence level. Block 4: RMSEr is 0.013-0.016 meters, with a ACCr of 0.023-0.028 meters at the 95% confidence level. Please refer to the NOAA Appalachia Topobathymetric Lidar final data report for more information on accuracy. Vertical Positional Accuracy Ground check points were compared against the ground classified lidar point cloud in open terrain for each block. Block 1: NVA tested 0.064 m vertical accuracy at the 95% confidence level using 17 ground check points Block 2: NVA tested 0.108 m vertical accuracy at the 95% confidence level using 30 ground check points Block 3: NVA tested 0.048 m vertical accuracy at the 95% confidence level using 15 ground check points Block 4: NVA tested 0.097 m vertical accuracy at the 95% confidence level using 15 ground check points Bathymetric Topography Accuracy Block 1: tested 0.199 m vertical accuracy at the 95% confidence level using 228 bathymetric check points Block 2: tested 0.178 m vertical accuracy at the 95% confidence level using 997 bathymetric check points Block 3: tested 0.169 m vertical accuracy at the 95% confidence level using 783 bathymetric check points Block 4: tested 0.182 m vertical accuracy at the 95% confidence level using 460 bathymetric check points Please refer to the NOAA Appalachia Topobathymetric Lidar final data report for more information on accuracy. Comparability Bathymetric topography checkpoints may occur in depths up to 1m. Data for the NOAA Appalachia Topobathymetric Lidar area was acquired by NV5 using Leica Chiroptera 4X and Leica Chiroptera 5 topobathymetric lidar systems. All derived Ellipsoidal height LAS data is referenced to: Horizontal Datum-NAD83(2011) epoch: 2010.00 Projection-UTM Zone 17N Horizontal Units-meters Vertical Datum-NAVD88 (Geoid18) Vertical Units-meters NOAA provided NV5 with a project boundary for the NOAA Appalachia Topobathymetric Lidar project. Using a 25 meter buffered boundary, NV5 created an airborne lidar acquisition plan. The collected lidar data were immediately processed in the field by NV5 to a level that allows for QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created using Waypoint Inertial Explorer 8.90, and the raw data were extracted into geo-referenced LAS files using Lidar Survey Studio 3.0 with pre-calculated scanner misalignment angles determined through a boresight protocol. These files were inspected for errors and then passed through an automated workflow, producing rasters to develop an initial assessment of bathymetric coverage. NV5 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. National Geodetic Survey processor NV5 resolved kinematic corrections for the aircraft Global Navigation Satellite System (GNSS) data using static GPS data from Continuously Operating Reference Stations (CORS) utilizing the Online Positioning User Service (OPUS) for precise positioning. This data was used to correct the continuous on board measurements of the aircraft position recorded throughout the flight. When GNSS was not utilized, kinematic corrections for aircraft position data were corrected using aircraft GNSS and Novatel's proprietary PPP-AR solution. Smoothed best estimate trajectories (SBET) were developed incorporating post-processed aircraft positionings with IMU and when present, gyrostabilized mount data. Using the SBETs, sensor head position and attitude were then calculated throughout the survey. Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2019, and Inertial Explorer v8.9 were used for final SBET creation. National Geodetic Survey processor Following final SBET creation, NV5 used Leica's Lidar Survey Studio (LSS) to calculate laser point positioning by associating SBET positions to each laser point return time, scan angle, and intensity. LSS was used to derive a synthetic water surface to create a water surface model for refraction correction. 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 submerged green laser lidar data. All lidar data below water surface models were classified as water column to correct for refraction. Using raster-based QC methods, the output data is verified to ensure the refraction correction operated properly. National Geodetic Survey processor Once all data was refracted by flight line, the lidar data was exported to LAS 1.4 files (point format 6) and delineated into 500 m x 500 m tiles. Data were then further calibrated using StripAlign and TerraMatch. NV5 used custom algorithms in TerraScan to classify the initial ground/bathymetric bottom points. Relative accuracy of overlapping swaths was compared and verified through the use of Delta-Z (DZ) orthos created using NV5's proprietary software Las Product Creator (LPC). Absolute vertical accuracy of the calibrated data was assessed using ground survey data. National Geodetic Survey processor Post automated classification NV5 then performed manual editing to review all classification and improve the final topobathymetric surface. NV5's LasMonkey 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 classification scheme is as follows: 1 - Unclassified 1 - Withheld - Edge clip 1 - Overlap Withheld - Unrefracted green data from Chiroptera sensor 2 - Ground 7 - Withheld -Low noise 18 - Withheld - High noise 22 - Temporal exclusion 40 - Bathymetric bottom or submerged topography 41 - Water surface 42 - Synthetic- Chiroptera synthetic water surface 43 - Submerged feature 45 - Water column 46 - Submerged Aquatic Vegetation (SAV) 47 - Withheld - Green Laser Submerged Noise 48 - Submerged Temporal Exclusion - submerged features excluded due to temporal changes National Geodetic Survey processor NV5 transformed the final lidar data from ellipsoid heights to orthometric heights referenced to NAVD88, Geoid 18 to create the final topobathymetric void clipped DEMs. The 1 meter resolution topobathymetric bare earth DEMs were output in 5000 m x 5000 m tiles in GeoTIFF format. TheBare Earth Model rasters are clipped to the extent of the project boundary and were named according to project specifications. A bathymetric void shapefile was created to indicate areas where there was a lack of bathymetric returns. This shape was created by triangulating bathymetric bottom points with an edge length maximum of 4.56m to identify all areas greater then 9 square meters without bathymetric returns. This shapefile was additionally used to clip and exclude interpolated elevation data from the topobathymetric bare earth model. For Block3 and Block 4 the void shapefile includes submerged aquatic vegetation shapes that indicate where submerged aquatic vegetation (class 46) was identified and added to the ground model. These shapes were not used to clip the topobathymetric bare earth model, but rather serve as an indicator of where submerged aquatic vegetation is present within the project boundary. 2026-05-15T00:00:00 National Geodetic Survey processor Acquisition and Processing NV5 originator