gov.noaa.nmfs.inport:57325 eng UTF8 dataset Elevation Office for Coastal Management 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::5703 EPSG::6348 2019 NOAA OCM Unmanned Aerial System Lidar DEM: Great Bay NERR nh2019_great_bay_dem_m8845 2019-08-27 creation publication NOAA/NMFS/EDM 57325 https://www.fisheries.noaa.gov/inport/item/57325 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8844/supplemental/NOAA_Great_Bay_LiDAR_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set 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 In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are “Sentinel Sites” within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from NIR LiDAR data using TIN processing of the ground point returns. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, under dense vegetation). Air Shark collected the NOAA Great Bay UAS LiDAR data, on behalf of Quantum Spatial, for the NOAA Office for Coastal Management between 05/01/2019 and 05/09/2019. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. A link to the lidar point data metadata record is provided in the Related Items section of this metadata record. Data were collected to aid NOAA & GBNERR in assessing the viability of using non-invasive remote sensing survey techniques to monitor these sentinel sites and reduce the impacts of traditional survey techniques on the marsh environment. NOAA OCM 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8844/supplemental/nh2019_great_bay_m8844.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE VERTICAL LOCATION > LAND SURFACE 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 DEM Estuarine NERR National Research Reserve UAS UAV beach erosion theme DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 DEMs project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2019 NOAA OCM Unmanned Aerial System Lidar DEM: Great Bay NERR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/57325. 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 Quantum Spatial, Great Bay NERR, NOAA, the Office for Coastal Management or its partners. unclassified 2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR NOAA/NMFS/EDM 57318 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 57325 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/57325.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid .5 eng; US elevation -70.921316 -70.828822 43.039191 43.140211 Site 2 | Currentness: Ground Condition 2019-05-01 Site 1 | Currentness: Ground Condition 2019-05-07 Site 3 | Currentness: Ground Condition 2019-05-08 Site 4 | Currentness: Ground Condition 2019-05-09 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=8845 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. download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NOAA_Great_Bay_UAS_DEM_2019_8845/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTiff format, UTM Zone 19 coordinates and in orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. download dataset Vertical Positional Accuracy Non-vegetated Vertical Accuracy was assessed using 20 ground check points. These check points were not used in the calibration or post processing of the LiDAR point cloud data. The Non-vegetated Vertical Accuracy (NVA) of this dataset, tested at 95% confidence level is 0.082 m. Please see the LiDAR data report for a discussion of the statistics related to this dataset. Completeness Report Flight plans are designed with sufficient sidelap to ensure there are no gaps between flightlines. Shaded relief images have been visually inspected for gaps. LiDAR data has been collected and processed for all areas within the project study area. Data was examined at a 1:2000 scale. Relative accuracy of the flightlines was assessed in Microstation using TerraMatch. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces should be considered approximate due to the increase of laser noise seen over water, frequent lack of returns, and the overall dynamic nature of water. Air Shark collected Light Detection and Ranging (LIDAR) data on behalf of Quantum Spatial in Great Bay NERR for the NOAA Office for Coastal Management (OCM). NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution. Acquisition. Air Shark collected the NOAA Great Bay UAS LiDAR data on behalf of Quantum Spatial between 05/01/2019 and 05/09/2019. The survey used a Riegl MiniVUX-1UAV laser system mounted in a DJI Matrice 600. Ground level GPS and aircraft IMU were collected during the flight. Sensor: Riegl MiniVUX-1UAV Maximum returns: 5 Nominal pulse density: 8 pulses/m^2 Nominal pulse spacing: 0.35 m AGL: 60 m Speed: 7.775 knots FOV: 90 degrees Scan frequency: 40.38 hz Pulse rate: 100 kHz Pulse width: 9.6 cm x 3.0 cm Wavelength: 905 nm Pulses in air mode: Linear Mode LiDAR Beam divergence: 1.6 mrads x 0.5 mrads Swath width: 120 m Overlap: 50% 2019-05-09T00:00:00 1. Flightlines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using POSPac MMS v.8.3, RiProcess v.1.8.5, TerraScan v.19.005, TerraMatch v.19.002 and TerraModeler v.19.005 software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flightlines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flightlines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the ground survey points collected to verify the vertical accuracy. 9. TIN processing of the ground point returns was used to create this bare earth DEM. 2019-07-01T00:00:00 The NOAA Office for Coastal Management (OCM) received 4 files in img format from Quantum Spatial. Horizontal positions were provided in UTM Zone 19 NAD83(2011), meters coordinates. Vertical positions were provided in NAVD88 (Geoid12b) elevations and in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted to GeoTiff format and the projection and vertical datum EPSG codes were assigned.. 2. The data were copied to https. 2019-08-28T00:00:00 Office for Coastal Management processor