100+ datasets found
  1. NOAA Coastal Lidar Data

    • registry.opendata.aws
    Updated Feb 24, 2021
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    NOAA (2021). NOAA Coastal Lidar Data [Dataset]. https://registry.opendata.aws/noaa-coastal-lidar/
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    Dataset updated
    Feb 24, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    Lidar (light detection and ranging) is a technology that can measure the 3-dimentional location of objects, including the solid earth surface. The data consists of a point cloud of the positions of solid objects that reflected a laser pulse, typically from an airborne platform. In addition to the position, each point may also be attributed by the type of object it reflected from, the intensity of the reflection, and other system dependent metadata. The NOAA Coastal Lidar Data is a collection of lidar projects from many different sources and agencies, geographically focused on the coastal areas of the United States of America. The data is provided in Entwine Point Tiles (EPT; https://entwine.io) format, which is a lossless streamable octree of the point cloud, and in LAZ format. Datasets are maintained in their original projects and care should be taken when merging projects. The coordinate reference system for the data is The NAD83(2011) UTM zone appropriate for the center of each data set for EPT and geographic coordinates for LAZ. Vertically they are in the orthometric datum appropriate for that area (for example, NAVD88 in the mainland United States, PRVD02 in Puerto Rico, or GUVD03 in Guam). The geoid model used is reflected in the data set resource name.
    The data are organized under directories entwine and laz for the EPT and LAZ versions respectively. Some datasets are not in EPT format, either because the dataset is already in EPT on the USGS public lidar site, they failed to build or their content does not work well in EPT format. Topobathy lidar datasets using the topobathy domain profile do not translate well to EPT format.

  2. 2018 - 2020 NOAA USGS Lidar: Hawaii, HI

    • fisheries.noaa.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    las/laz - laser
    Updated Dec 29, 2020
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    Office for Coastal Management (2020). 2018 - 2020 NOAA USGS Lidar: Hawaii, HI [Dataset]. https://www.fisheries.noaa.gov/inport/item/68082
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    las/laz - laserAvailable download formats
    Dataset updated
    Dec 29, 2020
    Dataset provided by
    Office for Coastal Management
    Time period covered
    Jan 30, 2018 - Jan 6, 2020
    Area covered
    Description

    Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS...

  3. 2023 NOAA USGS Lidar: Hawaii (Big Island)

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 29, 2025
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2025). 2023 NOAA USGS Lidar: Hawaii (Big Island) [Dataset]. https://catalog.data.gov/dataset/2023-noaa-usgs-lidar-hawaii-big-island
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    Dataset updated
    May 29, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Island of Hawai'i, Hawaii
    Description

    Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

  4. NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

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    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: North Carolina, Northern [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-inundation-digital-elevation-model-north-carolina-no1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    North Carolina
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the North Carolina, Northern digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Camden, Chowan, Currituck, Gates, Pasquotank, and Perquimans Counties. The DEM was produced from the following lidar data sets: 1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard 2. 2014 NC Statewide Lidar - Phase 1 The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  5. 2022 - 2023 NOAA USGS Lidar: Hawaii (Kahoolawe, Lanai, Maui, Molokai, Oahu)

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 29, 2025
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2025). 2022 - 2023 NOAA USGS Lidar: Hawaii (Kahoolawe, Lanai, Maui, Molokai, Oahu) [Dataset]. https://catalog.data.gov/dataset/2022-2023-noaa-usgs-lidar-hawaii-kahoolawe-lanai-maui-molokai-oahu
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    Dataset updated
    May 29, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Lanai, Moloka‘i, O‘ahu, Kaho‘olawe, Maui, Hawaii
    Description

    Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_1: The work unit covers approximately 446 square miles (260.7 square miles of Molokai, 140.7 square miles of Lanai, and 44.6 square miles of Kahoolawe in the state of Hawaii). HI_NOAAMauiOahu_2: The work unit covers approximately 540.86 square miles of Maui and 496.61 square miles of Oahu in the state of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) HI_NOAAMauiOahu_1_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 5,044 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. HI_NOAAMauiOahu_2 (Maui, Oahu) HI_NOAAMauiOahu_2_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 11,716 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) Lidar was collected from August 2, 2022, through July 9, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. HI_NOAAMauiOahu_2 (Maui, Oahu) Lidar was collected from January 11, 2023, through July 7, 2023 while rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

  6. 2022 - 2023 NOAA USGS Lidar DEM: HI (Kahoolawe, Lanai, Maui, Molokai, Oahu)

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 29, 2025
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2025). 2022 - 2023 NOAA USGS Lidar DEM: HI (Kahoolawe, Lanai, Maui, Molokai, Oahu) [Dataset]. https://catalog.data.gov/dataset/2022-2023-noaa-usgs-lidar-dem-hi-kahoolawe-lanai-maui-molokai-oahu
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    Dataset updated
    May 29, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Lanai, Moloka‘i, Kaho‘olawe, Maui, O‘ahu
    Description

    Original Dataset Product: 0.5-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_1: The work unit covers approximately 446 square miles (260.7 square miles of Molokai, 140.7 square miles of Lanai, and 44.6 square miles of Kahoolawe in the state of Hawaii). HI_NOAAMauiOahu_2: The work unit covers approximately 540.86 square miles of Maui and 496.61 square miles of Oahu in the state of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) HI_NOAAMauiOahu_1_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 5,044 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. HI_NOAAMauiOahu_2 (Maui, Oahu) HI_NOAAMauiOahu_2_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 11,716 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) Lidar was collected from August 2, 2022, through July 9, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. HI_NOAAMauiOahu_2 (Maui, Oahu) Lidar was collected from January 11, 2023, through July 7, 2023 while rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

  7. 2023 NOAA NGS Lidar DEM: Long Island Sound, NY

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated May 22, 2025
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    NOAA Office for Coastal Management (Custodian) (2025). 2023 NOAA NGS Lidar DEM: Long Island Sound, NY [Dataset]. https://catalog.data.gov/dataset/2023-noaa-ngs-lidar-dem-long-island-sound-ny
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    Dataset updated
    May 22, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Long Island Sound, Long Island, New York
    Description

    NOAA Long Island Sound Topobathymetric Lidar data were collected by NV5 using Leica Chiroptera/Hawkeye 4X and Chiroptera/Hawkeye 5 systems in four blocks. Block01 was flown between 20230305 and 20230411 in 14 missions, block02 was flown between 20230305 and 20230722 in 23 missions, block03 was flown between 20230316 and 20231028 in 13 missions and block04 was flown between 20230410 and 20230530 in 19 missions. The final classified lidar data were then transformed from ellipsoid (GRS80) to orthometric height (Geoid18) and used to create topobathymetric DEMs in Cloud Optimized GeoTIFF format with 1m pixel resolution.

  8. 2014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline...

    • catalog.data.gov
    • datasets.ai
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    Updated Feb 15, 2025
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2025). 2014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline Mapping [Dataset]. https://catalog.data.gov/dataset/2014-noaa-post-hurricane-sandy-topobathymetric-lidar-mapping-for-shoreline-mapping2
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20140108 - 20140522 in four missions. The missions flown on 20140108 and 20140109 represent Low Water missions and the missions flown on 20140516 and 20140522 represent High Water (everything outside of MLLW tidal requirements) missions. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), refracted High Water data landward of the MLLW land/water interface (18), bathy noise (22), noise as defined by the sensor (23), refracted sensor noise (24), water column (25), bathymetric bottom or submerged topography (26), water surface (27), International Hydrographic Organization (IHO) S-57 objects (30), and temporal bathy bottom (31) in accordance with project specifications. Several of the noise classes were filtered out prior to distribution on the Digital Coast. The full project consists of 2,775 square miles along the Atlantic Coast from New York to South Carolina. This dataset represents a contiguous area covering a portion of acquisition block 1 to 140 with 500 m x 500 m lidar tiles. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 301-713-2663

  9. 2019 NOAA NGS Topobathy Lidar DEM: Puerto Rico

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Custodian) (2024). 2019 NOAA NGS Topobathy Lidar DEM: Puerto Rico [Dataset]. https://catalog.data.gov/dataset/2019-noaa-ngs-topobathy-lidar-dem-puerto-rico1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Puerto Rico
    Description

    These data were collected by Leading Edge Geomatics using a Riegl VQ-880-G II sensor. The data acqusition began January 20, 2019 through June 2, 2019. The data includes topobathy data in LAS 1.4 format classified as created, never classified (0); unclassified (1); ground (2); noise (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); International Hydrographic Organization S-57 object, not otherwise specified (44); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); bathymetic bottom temporal changes (46) in accordance with project specifications.

  10. 2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR

    • catalog.data.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR [Dataset]. https://catalog.data.gov/dataset/2019-noaa-ocm-unmanned-aerial-system-lidar-great-bay-nerr1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    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. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

  11. 2023 NOAA USGS Lidar DEM: Hawaii (Big Island)

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 29, 2025
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2025). 2023 NOAA USGS Lidar DEM: Hawaii (Big Island) [Dataset]. https://catalog.data.gov/dataset/2023-noaa-usgs-lidar-dem-hawaii-big-island
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    Dataset updated
    May 29, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Island of Hawai'i, Hawaii
    Description

    Original Dataset Product: 0.5-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

  12. 2013 NOAA Oahu Topographic Lidar

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    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2013 NOAA Oahu Topographic Lidar [Dataset]. https://catalog.data.gov/dataset/2013-noaa-oahu-topographic-lidar1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    O‘ahu
    Description

    The Oahu, Hawaii Elevation Data Task Order involves collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the island of Oahu in Hawaii. The Statement of Work (SOW) for the area covering the northern 2/3 of Oahu was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management. A separate but related task order was issued by the USGS National Geospatial Technical Operations Center (NGTOC), under their Geospatial Products and Services Contract (GPSC), to leverage the same resources committed to the NOAA LiDAR project for the acquisition of LiDAR data in the southern 1/3 portion of Oahu. The combined task orders yielded one study area covering the entire island of Oahu. The data collected for the island of Oahu will exhibit Hydro Flattened DEMs for inclusion into the NED. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. The point density for this data set was specified in the SOW at 1.15 pts/m2. The NOAA Office for Coastal Management tested the NPS (nominal pulse spacing) for this data set in April 2015. The NPS was determined to be 0.84 m. The data used in the NPS determination were the first returns of classes 1,2,9, and 10.

  13. NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake...

    • catalog.data.gov
    • datadiscoverystudio.org
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    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake Erie [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-digital-elevation-model-lake-erie1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Lake Erie
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Erie digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar and US Army Corps of Engineer dredge survey data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Monroe and Wayne Counties in Michigan; Chautauqua and Erie Counties in New York; Ashtabula, Cuyahoga, Erie, Lake, Lorain, Lucas, Ottawa, Sandusky, and Wood Counties in Ohio; and Erie County in Pennsylvania. The DEM was produced from the following lidar data sets: 1. 2011 - 2012 USACE NCMP Topobathy Lidar: Lake Erie (MI, NY, OH, PA) 2. 2011 USACE NCMP Topobathy Lidar: MI/NY Great Lakes 3. 2008 FEMA Lidar: Erie County, NY 4. 2007 USACE NCMP Topobathy Lidar: Lake Erie (Erie County, PA) and Lake Michigan (Manitou Islands) (MI, PA) 5. 2007 USACE NCMP Topobathy Lidar: Lake Erie (NY Shoreline) 6. 2006 USACE NCMP Topobathy Lidar: Lake Erie (OH, PA), Lake Huron (MI) and Lake Michigan (Porter County, IN) 7. 2007 Pennsylvania Department of Conservation and Natural Resources (PA DCNR) Statewide Lidar 8. 2006 Ohio Statewide Imagery Program (OSIP) Lidar: North The DEM was produced from the following sonar data sets: 9. 2015 USACE Detroit District; Detroit River, MI; Livingstone Channel Reach 10. 2015 USACE Buffalo District, Ashtabula Harbor, OH 11. 2015 USACE Buffalo District, Erie Harbor, PA 12. 2015 USACE Buffalo District, Fairport Harbor, OH 13. 2015 USACE Buffalo District, Rocky River, OH 14. 2013 USACE Buffalo District; Buffalo Harbor, NY; Buffalo River and Ship Canal 15. 2014 USACE Detroit District, Point Mouillee, MI 16. 2014 USACE Buffalo District, Conneaut Harbor, OH 17. 2014 USACE Buffalo District, Dunkirk Harbor, NY 18. 2014 USACE Buffalo District, Niagara River, NY 19. 2014 USACE Buffalo District, Sandusky Harbor, OH The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  14. Wind Profile Data: LIDAR - NOAA (FIFE) - Dataset - NASA Open Data Portal

    • data.nasa.gov
    Updated Apr 1, 2025
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    nasa.gov (2025). Wind Profile Data: LIDAR - NOAA (FIFE) - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/wind-profile-data-lidar-noaa-fife-67d37
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The aim of this wind profile study was to derive wind profiles and momentum fluxes from the National Oceanic and Atmospheric Administration (NOAA)/Wave Propagation Laboratory (WPL) Doppler LIDAR, and compare LIDAR and airborne measurements of mean wind, turbulent structure, momentum flux, and heat flux. Another objective was to compare profiles of mean wind and temperature obtained from aircraft, balloon sondes, and wind LIDAR. These data were collected at one location near the center of the FIFE study area but in the northwest quadrant. Data were acquired for a two week period during June and July 1987. Pulsed Doppler LIDAR measures the radial (along-beam) velocity as a function of range using light-scattering particles in the air as tracers. When the LIDAR beam is directed straight upward and the backscattered return as a function of height is recorded, vertical aerosol profiles may be determined. Various pointing and scanning schemes permit measurement of a variety of mean and turbulent quantities based on assumptions about the flow. The remote-sensing character of LIDAR offers the ability to measure flow parameters simultaneously at all the heights in a profile. The winds were obtained with the VAD (Velocity Azimuth Display) technique. The LIDAR only operates above 500 m, therefore the wind profile begins above the ground surface. Data in the planetary boundary layer are usually continuous, but gaps appear occasionally in profiles extending to several kilometers. Profiles were unsmoothed, and the LIDAR's short pulse made adjacent data points almost independent.

  15. 2019 NOAA Lidar DEM: Padilla Bay NERR and Skagit River Delta, WA

    • catalog.data.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2019 NOAA Lidar DEM: Padilla Bay NERR and Skagit River Delta, WA [Dataset]. https://catalog.data.gov/dataset/2019-noaa-lidar-dem-padilla-bay-nerr-and-skagit-river-delta-wa1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Skagit River, Padilla Bay, Washington
    Description

    This dataset is a digital elevation model (DEM) derived from LiDAR (Light Detection and Ranging) point cloud data of the coastal tidal parts of Skagit and Snohomish Counties in WA State. The National Oceanic and Atmospheric Administration’s Office for Coastal Management contracted with Tetra Tech to acquire and process airborne LiDAR over an area of about 186 square miles. Data was to be acquired within a 2 hour window of low tide. Deliverables included classified LiDAR point clouds, breaklines and digital elevation models (DEM). LiDAR data was acquired on 13 and 14 of August 2019. The coastal area was covered in one flight on 8/14 while the inland area was covered on 8/13. The coastal flight took place on 8/14 with a tide window between -0.7 and +0.5 foot. For the airborne LiDAR flight Tetra Tech subcontracted with Eagle Mapping. The data was acquired with a Riegl LMS VQ780i sensor. A ground control survey was conducted to collect calibration points and check points. For the aerial acquisition Tetra Tech contracted with Eagle Mapping. For the ground survey, Tetra Tech contracted with Compass Data. The LiDAR data and derivative products were to be based on the USGS LiDAR Base Specifications. The coordinate reference system is UTM Zone 10N meters, NAD83(2011). The vertical datum is NAVD88 with Geoid12B.

  16. NOAA Office for Coastal Management Planned Data Acquisition for Lidar

    • catalog.data.gov
    • datasets.ai
    • +4more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Planned Data Acquisition for Lidar [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-planned-data-acquisition-for-lidar1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    OCM plans to collect lidar data to support coastal zone management activities. Projects could take place anywhere within US coastal zone.

  17. Data from: 2015 NOAA Lidar: Pelekane Watershed (HI)

    • catalog.data.gov
    • gimi9.com
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    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2015 NOAA Lidar: Pelekane Watershed (HI) [Dataset]. https://catalog.data.gov/dataset/2015-noaa-lidar-pelekane-watershed-hi1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    This metadata describes the Digital Elevation Model (DEM) 1 meter products derived from the airborne LiDAR data collected in August of 2015 for the Pelekane Watershed on the big island of Hawaii. The point cloud dataset was acquired with an Optech Orion M300 Airborne LiDAR Terrain Mapper with a nominal point spacing of 0.33 m. The DEM for this delivery was made from airborne LiDAR in LP360. A triangulated irregular network (TIN) was generated based on the LiDAR ground information (Using the tenderloin part of the point cloud only), and was later converted in a 1-meter raster file (DEM). Horizontal positions are referenced to UTM Zone 5 North (NAD83 PA11). Vertical elevations are in an orthometric datum derived from applying Geoid12b to NAD83(2011) ellipsoid heights and are in meters.

  18. 2019-2020 NOAA NGS Topobathy Lidar: Coastal VA, NC, SC

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
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    Updated Jul 4, 2025
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    NOAA Office for Coastal Management (Custodian) (2025). 2019-2020 NOAA NGS Topobathy Lidar: Coastal VA, NC, SC [Dataset]. https://catalog.data.gov/dataset/2019-2020-noaa-ngs-topobathy-lidar-coastal-va-nc-sc1
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    Dataset updated
    Jul 4, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    NOAA Florence Topobathymetric Lidar data were collected by NV5 Geospatial (NV5) in 9 blocks from 20191126 - 20200825 using the follow sensors: Block01 -Riegl VQ880GII system Block02 - Riegl VQ-880-G and Riegl VQ-880-GII systems Block03 - Riegl VQ880G, Riegl VQ880GII, and Riegl VQ880GH systems Block04 - Riegl VQ880GII and Leica Chiroptera 4x systems Block05 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block06 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block07 - Riegl VQ880G, Riegl VQ880GII, and Leica Chiroptera 4x systems Block08 - Riegl VQ880G and Riegl VQ880GII systems Block09 - Riegl VQ880G and Riegl VQ880GII systems This dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set also includes LiDAR intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area consists of approximately 3,075,010 acres along the Eastern coast of Virginia, North Carolina, and South Carolina.

  19. u

    NOAA R/V Ron Brown Lidar Data

    • data.ucar.edu
    netcdf
    Updated Aug 1, 2025
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    Alan Brewer (2025). NOAA R/V Ron Brown Lidar Data [Dataset]. http://doi.org/10.26023/1P08-D92Y-YT13
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    netcdfAvailable download formats
    Dataset updated
    Aug 1, 2025
    Authors
    Alan Brewer
    Time period covered
    Oct 1, 2008 - Nov 30, 2008
    Area covered
    Description

    This NOAA R/V Ron Brown Lidar dataset consists of two netCDF files which contain lidar data collected from the Research Vessel Ron Brown during the VOCALS 2008 project. The vocalsRhbLidarWP.nc file contains vertical profiles of horizontal wind and the vocalsRhbLidarVertStats.nc file has vertical profiles of vertical velocity turbulence (and higher statistical moments) and aerosol back scatter signal strength (snr). See the readme for more information on the file structure for each file.

  20. 2018 NOAA National Geodetic Survey Topobathy Lidar DEM (interpolated):...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2018 NOAA National Geodetic Survey Topobathy Lidar DEM (interpolated): Potomac River, Chesapeake Bay [Dataset]. https://catalog.data.gov/dataset/2018-noaa-national-geodetic-survey-topobathy-lidar-dem-interpolated-potomac-river-chesapeake-ba1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Potomac River, Chesapeake Bay
    Description

    These data were collected by Quantum Spatial, Inc. (QSI) for the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. The Initial Award lidar data were acquired from 20180215 - 20180417 in eighteen missions. The dataset includes topobathy data in a LAS 1.2 format file with the following classification: unclassified (1), ground (2), noise (7), overlap default (19), overlap ground (20), overlap water column (21), water column (25), bathymetric bottom or submerged topography (26), submerged feature (29), submerged aquatic vegetation (30), temporal bathy bottom (31), and unclassified withheld/edge clip (129) in accordance with project specifications. The contracted project consists of approximately 309.125 square miles (197,840 acres) of the states of Virginia and Maryland covering the confluence of the Potomac River and the Chesapeake Bay. To ensure complete coverage and adequate point densities around survey area boundaries, the Area of Interest (AOI) was buffered by 100m. The full Initial Award project area including buffered area is approximately 478.151 square miles (306,017 acres). LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then transformed to orthometric heights and used to create topobathymetric DEMs in IMG format with 1m pixel resolution.

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NOAA (2021). NOAA Coastal Lidar Data [Dataset]. https://registry.opendata.aws/noaa-coastal-lidar/
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NOAA Coastal Lidar Data

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 24, 2021
Dataset provided by
National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
Description

Lidar (light detection and ranging) is a technology that can measure the 3-dimentional location of objects, including the solid earth surface. The data consists of a point cloud of the positions of solid objects that reflected a laser pulse, typically from an airborne platform. In addition to the position, each point may also be attributed by the type of object it reflected from, the intensity of the reflection, and other system dependent metadata. The NOAA Coastal Lidar Data is a collection of lidar projects from many different sources and agencies, geographically focused on the coastal areas of the United States of America. The data is provided in Entwine Point Tiles (EPT; https://entwine.io) format, which is a lossless streamable octree of the point cloud, and in LAZ format. Datasets are maintained in their original projects and care should be taken when merging projects. The coordinate reference system for the data is The NAD83(2011) UTM zone appropriate for the center of each data set for EPT and geographic coordinates for LAZ. Vertically they are in the orthometric datum appropriate for that area (for example, NAVD88 in the mainland United States, PRVD02 in Puerto Rico, or GUVD03 in Guam). The geoid model used is reflected in the data set resource name.
The data are organized under directories entwine and laz for the EPT and LAZ versions respectively. Some datasets are not in EPT format, either because the dataset is already in EPT on the USGS public lidar site, they failed to build or their content does not work well in EPT format. Topobathy lidar datasets using the topobathy domain profile do not translate well to EPT format.

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