gov.noaa.nmfs.inport:77189 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) EPSG::6319 2022-2023 NOAA NGS Topobathy Lidar: Coastal Maine 2025 creation publication NOAA/NMFS/EDM 77189 https://www.fisheries.noaa.gov/inport/item/77189 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/geoid18/10423/supplemental/NOAA_Maine_2022_R041065_CL_Report_Signature_R.pdf WWW:LINK-1.0-http--link Topobathy Lidar Data Report Topobathy Lidar Data Report download The NOAA Maine Topbathymetric Lidar was collected by NV5 using Leica Chiroptera Hawkeye 4X systems. The lidar acquisitions were flown between 20221006 and 20231216 in 120 missions. The dataset includes topobathymetric data in a LAS format 1.4, point data record format 6. See the 'Lineage' section for detailed classification scheme. This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. After the initial data submission, NOAA reviewed the data. NV5 corrected the feedback edits and incorporated them into the dataset delivery. Additionally, green laser intensity values were normalized for depth for the dataset resulting in a full redelivery of all LAS files. Finally, a set of normalized intensity rasters was also provided, and can be found at the Bulk Download link. 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 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE 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 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]: 2022-2023 NOAA NGS Topobathy Lidar: Coastal Maine [Data Date Range], https://www.fisheries.noaa.gov/inport/item/77189. 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 2022-2023 NOAA NGS Topobathy Lidar DEM: Coastal Maine NOAA/NMFS/EDM 77200 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 77189 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/77189.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 Block01_01 -67.26 -66.9 44.68 45.17 This block was acquired in 7 missions and is comprised of 2,561 (500 m x 500 m) LAS tiles . | Currentness: Ground Condition 2022-10-08 2022-10-23 Block01_02 -67.62 -67.05 44.41 44.87 This block was acquired in 14 missions and is comprised of 3,299 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-10-06 2022-11-10 Block02_01 -68.12 -67.54 44.26 44.67 This block was acquired in 18 missions and is comprised of 3,846 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-10-06 2023-07-20 Block02_02 -68.46 -67.991 44.12 44.61 This block was acquired in 28 missions and is comprised of 4,195 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-10-07 2023-08-06 Block02_03 -68.87 -68.24 43.97 44.52 This block was acquired in 31 missions and is comprised of 5,393 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-10-12 2023-07-20 Block03_01 -70.96 -70.19 42.82 43.59 This block was acquired in 20 missions and is comprised of 5,490 (500 m x 500 m) LAS tiles. Block03_02 -70.33 -69.66 43.5 44.15 This block was acquired in 27 missions and is comprised of 6,188 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2023-05-12 2023-12-15 Block04_01 -69.74 -69.24 43.69 44.1 This block was acquired in 22 missions and is comprised of 3,811 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2023-05-12 2023-08-10 Block04_02 -69.44 -68.62 43.89 44.59 This block was acquired in 38 missions and is comprised of 4,174 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-11-18 2023-12-16 Block04_03 -69.25 -68.68 43.77 44.43 This block was acquired in 51 missions and is comprised of 5,347 (500 m x 500 m) LAS tiles. | Currentness: Ground Condition 2022-11-21 2023-12-16 The NOAA Maine Topbathymetric 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), and 43 (submerged object) were used to create the final DEMs. The full workflow used for this project are documented in the NOAA Maine Topobathymetric Lidar final report. 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=10423 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/geoid18/10423/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy Horizontal - 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). Vertical - 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 degrees) where the lidar system has a high probability of measuring the ground surface. Non-Vegetated Vertical Accuracy (NVA), Vegetated Vertical Accuracy (VVA) and submerged topography accuracy were evaluated at the 95% confidence interval (1.96*RMSE). Horizontal Positional Accuracy Block01_01: At a flight altitude of 400 m, with an IMU error of 0.002 decimal degrees and a GNSS positional error of 0.005 m: Leica Chiroptera: RMSEr = 0.025 m, ACCr = 0.040 m (95%). Leica Hawkeye: RMSEr = 0.025 m, ACCr = 0.040 m (95%). Block01_02: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Block02_01: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Block02_02: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.062 m, ACCr = 0.11 m (95%). Block02_03: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.062 m, ACCr = 0.11 m (95%). Block03_01: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Block03_02: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.023 m: Leica Chiroptera: RMSEr = 0.044 m, ACCr = 0.080 m (95%). Leica Hawkeye: RMSEr = 0.131 m, ACCr = 0.23 m (95%). Block04_01: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Block04_02: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Block04_03: At a flight altitude of 400 m, with an IMU error of 0.003 decimal degrees and a GNSS positional error of 0.008 m: Leica Chiroptera: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Leica Hawkeye: RMSEr = 0.038 m, ACCr = 0.070 m (95%). Vertical Positional Accuracy Block01_01 - NVA tested 0.069 m using 5 ground check points based on RMSEz (0.035 m) x 1.9600. Submerged topography accuracy tested 0.114 m using 114 submerged check points, based on RMSEz (0.058 m) x 1.9600. Block01_02 - NVA tested 0.069 m using 7 ground check points based on RMSEz (0.035 m) x 1.9600. Submerged topography accuracy tested 0.169 m using 90 submerged check points, based on RMSEz (0.086 m) x 1.9600. Block02_01 - NVA tested 0.057 m using 6 ground check points based on RMSEz (0.029 m) x 1.9600. VVA tested 0.109 m using 5 landclass points . Block02_02 - NVA tested 0.041 m using 9 ground check points based on RMSEz (0.021 m) x 1.9600. VVA tested 0.196 m using 8 landclass points. Block02_03 - NVA tested 0.032 m using 6 ground check points based on RMSEz (0.020 m) x 1.9600. VVA tested 0.101 m vertical accuracy at the 95th percentile against the ground classified point cloud using 3 landclass points based on RMSEz (0.016 m) x 1.9600. Block03_01 - NVA tested 0.040 m using 15 ground check points , based on RMSEz (0.020 m) x 1.9600. Submerged topography accuracy tested 0.141 m using 160 submerged check points based on RMSEz (0.072 m) x 1.9600. Block03_02 - NVA tested 0.069 m using 9 ground check points based on RMSEz (0.035 m) x 1.9600. Submerged topography accuracy tested 0.119 m using 223 submerged check points based on RMSEz (0.060 m) x 1.9600. Block04_01 - NVA tested 0.053 m using 8 ground check points based on RMSEz (0.027 m) x 1.9600. Submerged topography accuracy tested 0.137 m using 145 submerged check points based on RMSEz (0.070 m) x 1.9600. Block04_02 - NVA tested 0.059 m using 11 ground check points based on RMSEz (0.030 m) x 1.9600. Submerged topography accuracy tested 0.103 m using 62 submerged check points based on RMSEz (0.053 m) x 1.9600. Block04_03 - NVA tested 0.017 m using 4 ground check points based on RMSEz (0.009 m) x 1.9600. Submerged topography accuracy tested 0.128 m using 83 submerged check points based on RMSEz (0.065 m) x 1.9600. Comparability Submerged topography checkpoints usually occurred in depths up to 1m. Completeness Report The horizontal RMSEr value for the Leica Chiroptera shallow green and NIR sensor data. The RMSEr value for the Leica Hawkeye deep green sensor data. Data for the NOAA Maine Topbathymetric Lidar Delivery was acquired by NV5 Geospatial (NV5) using Leica Chiroptera Hawkeye 4X and Leica Chiroptera Hawkeye 5 topobathymetric lidar systems. All derived LAS data is referenced to: Horizontal Datum-NAD83(2011) epoch: 2010.00 Projection-UTM Zone 19N Horizontal Units-meters Vertical Datum-GRS80 Ellipsoid Vertical Units-meters NOAA provided NV5 Geospatial with a project boundary for the NOAA Maine 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 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. 2023-10-06T00:00:00 National Geodetic Survey processor For Block 01_01, Block 01_02, Block 02_01, and Block 02_02,NV5 resolved kinematic corrections for aircraft position data using aircraft GNSS and Applanix's proprietary PP-RTX solution. When PP-RTX was not used NV5 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. 2025-03-07T00:00:00 National Geodetic Survey processor For Block 02_03, Block 03_01, Block 03_02, Block 04_01, Block 04_02 and Block 04_03, 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. 2025-03-07T00:00:00 National Geodetic Survey processor This data was used to correct the continuous on board 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. Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2019, and PosPac MMS 8.3 SP3 were used for these processes. 2025-03-07T00:00:00 National Geodetic Survey processor Following the final SBET creation, NV5 used Leica Lidar Survey Studio (LSS) to calculate laser point positioning by associating SBET positions to each laser point return time, scan angle, and intensity. Leica LSS was used to derive a synthetic water surface to create a water surface model. 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. 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 tool functioned properly. Once all data was refracted by flight line, the data was exported to LAS 1.4 format and combined into 500 m x 500 m tiles. Data were then further calibrated using TerraMatch. NV5 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 NV5's Las Product Creator. Absolute vertical accuracy of the calibrated data was assessed using ground survey data and complete coverage was again verified. 2023-10-06T00:00:00 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 classification scheme delivered from the contractor is as follows: 1 - Unclassified 1W - Withheld - edge clip 1OW - Overlap Withheld - unrefracted green data from Chiroptera sensor 2 - Ground 7W - Withheld -low noise 18W - Withheld - high noise 40 - Bathymetric bottom or submerged topography 41 - Water surface 42S - Synthetic- Chiroptera synthetic water surface 43 - Submerged feature 45 - Water column 64 - Submerged Aquatic Vegetation (SAV) 65O - 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 82S - Synthetic - Chiroptera synthetic 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. 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 2023-10-06T00:00:00 National Geodetic Survey processor The NOAA Office for Coastal Management (OCM) received files in laz format. The files contain lidar elevation and intensity measurements of the Maine (ME2201) blocks. The LiDAR data were in NAD83(2011) UTM Zone 19N 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, 22 - Temporal Exclusion, 40 - Bathymetric Point, 41 - Water Surface, 42 - Derived Water Surface, 43 - Submerged Object, 45 - Water Column, 64 - Submerged Vegetation and 65 - Submerged Temporal Exclusion. 2025-08-29T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor Acquisition and Processing NV5 originator