gov.noaa.nmfs.inport:73527 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 2026-09-30T19:20:12 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6360 EPSG::6525 2024 GBNERR UAS Lidar DEM: New Hampshire Salt Marshes (Odiorne) 2024 creation 2024 publication NOAA/NMFS/EDM 73527 https://www.fisheries.noaa.gov/inport/item/73527 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10175/details/10175 WWW:LINK-1.0-http--link Custom Point Download Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created. 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 Original Data Collection: Lidar was captured over a two-day period (05/21-05/22/2024) using a Riegl VUX-1 UAV sensor at an Above Ground Level (AGL) altitude of 115 m, and with a minimum 50% sidelap. The lidar data were collected under leaf-on conditions. A 1-ft Digital Elevation Model (DEM) was created in Blue Marble GlobalMapper v23.1 using a minimum value binning (bin size = 6) grid method, and output as a 32-bit floating-point GeoTIFF formatted raster. No breaklines or hydroflattening processes were developed or applied to the DEM. 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. These data are available for download at the link provided in the URL section of this metadata record. The purpose of these lidar data was to produce high accuracy 3D elevation products which will support various modeling, including modeling of the bare earth surface Great Bay NERR (National Estuarine Research Reserve) 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 asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/10175/supplemental/nh2024_grt_bay_10175.kmz This kmz shows the lidar coverage for the 2024 UAS lidar acquisition of New Hampshire salt marshes. kmz EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE VERTICAL LOCATION > LAND SURFACE 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 UAV > Unmanned Aerial Vehicle platform Global Change Master Directory (GCMD) Platform Keywords 23.3 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 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 DEMs project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2024 GBNERR UAS Lidar DEM: New Hampshire Salt Marshes (Odiorne) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/73527. 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 grid eng; US elevation Microsoft Windows 7 Enterprise Service Pack 1; ESRI ArcCatalog 10.3. -70.734 -70.719 43.03 43.04 Dates of collection for the Odiorne dataset | Currentness: Ground Condition 2024-05-21 2024-05-22 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=10176/details/10176 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, map projection, file format, 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/NH_Grt_Bay_NERR_DEM_2024_10176/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in the original coordinate system. download dataset Vertical Positional Accuracy Odiorne This data set was tested as required by ASPRS Positional Accuracy Standards for Digital Geospatial Data, Edition 2 (2023). Although the Standards call for a minimum of thirty (30) checkpoints, this test was performed using ONLY 10 checkpoints. This data set was produced to meet a 5 cm RMSEz vertical positional accuracy class. The average vertical positional variance of all ground control points and checkpoints was 1.22 cm. The lidar was fitted to 10 ground control points, and an additional 10 checkpoints were used to correlate to these ground control points with a RMSEz = 0.98 cm. Therefore, this data set is assumed to meet the stated 5 cm RMSEz vertical positional accuracy class. The NOAA Office for Coastal Management (OCM) received the UAS lidar DEM data from the Great Bay NERR. NOAA OCM processed the data to make it available for custom downloads from the NOAA Digital Coast Data Access Viewer and for bulk downloads from AWS S3. Lidar was captured over a two-day period (05/21-05/22/2024) using a Riegl VUX-1 UAV sensor at an Above Ground Level (AGL) altitude of 115 m, and with a minimum 50% sidelap. On each day, data acquisition occurred within plus or minus 1 hour of predicted low tides. Ground control was provided using a total of ten (10) Propeller Aeropoints distributed evenly across the site each day. Each Aeropoint had a minimum occupation time of 2 hours, and GCPs and checkpoints acquired have a RMSEz of 1.22 cm. For each day, 5 points were used as ground control points (GCPs) and 5 were withheld in processing for independent accuracy checkpoints. 2024-05-21T00:00:00 Inertial processing was performed in NovAtel Inertial Explorer Xpress v9.0. Point cloud creation was conducted in Phoenix Lidar SpatialExplorer v7.0.1. The lidar was then processed through the Terrasolid Spatix v.024.002 software modules TerraScan and TerraMatch UAV for alignment, strip adjustment, and .laz output. Blue Marble GlobalMapper v23.1 was used to classify the .laz into the requested classes using automated and manual workflows. These data were classified as follows: Class 1 = Unclassified Class 2 = Ground Class 7 = Low Noise Finally a 1-ft Digital Elevation Model (DEM) was created in Blue Marble GlobalMapper v23.1 using a minimum value binning (bin size = 6) grid method, and output as a 32-bit floating-point GeoTIFF formatted raster. No breaklines or hydroflattening processes were developed or applied to the DEM. The NOAA Office for Coastal Management (OCM) received 1 raster DEM file in GeoTiff format from the Great Bay NERR. The bare earth raster file was at a 1 foot grid spacing. The data were in NH State Plane NAD83 (2011), US survey feet coordinates and NAVD88 (Geoid18) elevations in US survey feet. OCM assigned the appropriate EPSG codes (Horiz - 6525, Vert - 6360) and copied the raster files to https for Digital Coast storage and provisioning purposes. 2024-09-17T00:00:00 Office for Coastal Management processor New Hampshire Salt Marshes UAS Lidar DEM Data Great Bay NERR originator