gov.noaa.nmfs.inport:79700 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 2026-06-04T14:22:37 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2024 NOAA NGS Topobathy Lidar: Chestertown to Trappe, MD 2025 creation publication NOAA/NMFS/EDM 79700 https://www.fisheries.noaa.gov/inport/item/79700 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/entwine/geoid18/14162/ept.json WWW:LINK-1.0-http--link Entwine Point Tile (EPT) Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/14162/ept.json WWW:LINK-1.0-http--link 3D Viewer (Potree NOAA) Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/14162/supplemental/2024_NOAA_Chesapeake_Topobathymetric_Lidar_Report_PM_PLS_Signed.pdf WWW:LINK-1.0-http--link Topobathy Lidar Data Report Topobathy Lidar Data Report download NOAA Chesapeake Topobathymetric Lidar project data were collected by NV5 using Leica Chiroptera/Hawkeye 4X systems. The NOAA Chesapeake Topobathymetric Lidar acquisition was flown between 20241109 and 20241119 in 10 missions. The 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 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 41 - water surface 42 Synthetic- Chiroptera synthetic water surface 43 - submerged feature 45 - water column 46 - Submerged Aquatic Vegetation (SAV) 47 Withheld - submerged noise 48 - submerged temporal exclusion - temporal water column and bathy bottom The channel bits are mapped as the following: 0 - Chiroptera green shallow laser 1 - Chiroptera/Hawkeye synthetic water surface 2 - Hawkeye green deep laser 3 - Chiroptera NIR The user byte is mapped as the following: 10 - Chiroptera green shallow 11 - Chiroptera green shallow 4X 12 - Chiroptera green shallow synthetic 20 - Hawkeye green deep 21 - Hawkeye green deep 4X 22 - Hawkeye green deep synthetic 30 - Chiroptera NIR This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The NOAA Chesapeake Topobathymetric Lidar project buffered boundary extent covers 233,759 acres. LAS files were compiled in 500 m x 500 m tiles. This Lidar dataset is comprised of 5,207 - 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. 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 EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MARYLAND 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). 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]: 2024 NOAA NGS Topobathy Lidar: Chestertown to Trappe, MD [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79700. 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 NOAA NGS Ortho-rectified 4 band Mosaic: Chestertown to Trappe, MD NOAA/NMFS/EDM 79699 crossReference 2024 NOAA NGS Topobathy Lidar DEM: Chestertown to Trappe, MD NOAA/NMFS/EDM 79704 crossReference eng; US elevation OS Independent -76.42 -76.05 38.62 39.24 | Currentness: Ground Condition 2024-11-09 2024-11-19 The NOAA Chesapeake Topobathymetric Lidar 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. 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 will be documented in the NOAA Chesapeake Topobathymetric Lidar final report, to be provided upon project completion. ZIP Zip LAS/LAZ - LASer LAZ 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=14162 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/geoid18/14162/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy Horizontal ->The project specification requires horizontal positions (RMSEh) to be calculated and reported using the formula provided in Section7.6 and B.8 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2, Version 1.0– August 23, 2023, for the estimation of horizontal accuracy as a function of flying height, Global Navigation Satellite System (GNSS) derived positional error, and INS derived attitude error for given sensor parameters. The obtained RMSEh value is multiplied by a conversion factor of 1.7308 to yield the horizontal(radial) component at the 95% confidence level 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). Non-Vegetated Vertical Accuracy (NVA) was evaluated at the 95% confidence interval (1.96*RMSE). Horizontal Positional Accuracy Based on a flying altitude of 400 meters, an IMU pitch/roll error of 0.002 decimal degrees, an IMU heading error of 0.003 decimal degrees, and a GNSS positional error of 0.005 meters, the RMSEh value for the Leica Chiroptera shallow green and NIR sensor data for the NOAA Chesapeake Topobathymetric Lidar project area is 0.029 meters, with an ACCr of 0.049 meters at the 95% confidence level. The RMSEh value for the Leica Hawkeye deep green sensor data in the NOAA Chesapeake Topobathymetric Lidar project area is 0.034 meters, with a ACCr of 0.059 meters at the 95% confidence level based on a flying altitude of 400 meters, an IMU pitch/roll error of 0.002 decimal degrees, an IMU heading error of 0.004 decimal degrees, and a GNSS positional error of 0.008 meters. Please refer to the NOAA Chesapeake Topobathymetric Lidar project data report for final accuracies, to be provided upon project completion Vertical Positional Accuracy In the NOAA Topobathymetric Lidar project area, 35 survey checkpoints were used to assess the non-vegetated vertical accuracy. Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval. Bathymetric topography points were tested separately. In the project area, 258 survey checkpoints were used to assess the bathymetric topography accuracy. Project specifications require bathymetric 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. Non-Vegetated Vertical Accuracy tested 0.056 m vertical accuracy at the 95% confidence level against the ground classified lidar point cloud in open terrain using 35 ground check points, based on RMSEz (0.028 m) x 1.9600. Bathymetric topography accuracy tested 0.094 m vertical accuracy at the 95% confidence level against the classified points cloud using 258 bathymetric check points, based on RMSEz (0.048 m) x 1.9600. These checkpoints usually occur in depths up to 1m. Please refer to the NOAA Chesapeake Topobathymetric Lidar final data report for final accuracy, to be provided upon project completion. Comparability Submerged topography checkpoints usually occurred in depths up to 1m. Data for the NOAA Chesapeake Topobathymetric Lidar project area was acquired by NV5 using Leica Chiroptera/Hawkeye 4X topobathymetric lidar systems. All derived LAS data is referenced to: Horizontal Datum-NAD83(2011) epoch: 2010.00 Projection-UTM Zone 18N Horizontal Units-meters Vertical Datum-GRS80 Ellipsoid Vertical Units-meters NOAA provided NV5 with a project boundary for the NOAA Chesapeake Topobathymetric Lidar project. Using a 100 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 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 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 - 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. 2025-10-21T00:00:00 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. 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. 2025-10-21T00:00:00 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. 2025-10-21T00:00:00 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. 2025-10-21T00:00:00 National Geodetic Survey processor Post automated classification, NV5 performed manual reviews and editing to finalize 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 - submerged noise 48 - submerged temporal exclusion - temporal water column and bathy bottom 2025-10-21T00:00:00 National Geodetic Survey processor The NOAA Office for Coastal Management (OCM) received files in laz format. The files contain lidar elevation and intensity measurements. The LiDAR data were in NAD83(2011) UTM Zone 18N 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 and 3. reclassified point data. The final classification scheme is as follows. 1 - Unclassified 2 - Ground 7 - Low Noise 18 - High Noise 22 - Temporal Exclusion 40 - Bathymetric Point 41 - Water Surface 42 - Derived Water Surface 43 - Submerged Object 45 - Water Column 46- Submerged Vegetation 48 - Submerged Temporal Exclusion 2026-05-15T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Acquisition and Processing NV5 originator