78 datasets found
  1. o

    USGS 3DEP LiDAR Point Clouds

    • registry.opendata.aws
    Updated Jan 22, 2019
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    Hobu, Inc. (2019). USGS 3DEP LiDAR Point Clouds [Dataset]. https://registry.opendata.aws/usgs-lidar/
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    Dataset updated
    Jan 22, 2019
    Dataset provided by
    <a href="https://hobu.co">Hobu, Inc.</a>
    Description

    The goal of the USGS 3D Elevation Program (3DEP) is to collect elevation data in the form of light detection and ranging (LiDAR) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. This dataset provides two realizations of the 3DEP point cloud data. The first resource is a public access organization provided in Entwine Point Tiles format, which a lossless, full-density, streamable octree based on LASzip (LAZ) encoding. The second resource is a Requester Pays of the original, Raw LAZ (Compressed LAS) 1.4 3DEP format, and more complete in coverage, as sources with incomplete or missing CRS, will not have an ETP tile generated. Resource names in both buckets correspond to the USGS project names.

  2. d

    Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Mar 11, 2025
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    U.S. Geological Survey (2025). Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/lidar-point-cloud-usgs-national-map-3dep-downloadable-data-collection
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This data collection of the 3D Elevation Program (3DEP) consists of Lidar Point Cloud (LPC) projects as provided to the USGS. These point cloud files contain all the original lidar points collected, with the original spatial reference and units preserved. These data may have been used as the source of updates to the 1/3-arcsecond, 1-arcsecond, and 2-arcsecond seamless 3DEP Digital Elevation Models (DEMs). The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Lidar (Light detection and ranging) discrete-return point cloud data are available in LAZ format. The LAZ format is a lossless compressed version of the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. Point Cloud data can be converted from LAZ to LAS or LAS to LAZ without the loss of any information. Either format stores 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of geo-referenced x, y coordinates and z (elevation), as well as other attributes for each point. Additonal information about the las file format can be found here: https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities. All 3DEP products are public domain.

  3. 2018 - 2019 USGS Lidar: GA Statewide

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jan 1, 2018
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    OCM Partners (2018). 2018 - 2019 USGS Lidar: GA Statewide [Dataset]. https://www.fisheries.noaa.gov/inport/item/67264
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    las/laz - laserAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    OCM Partners
    Time period covered
    Nov 27, 2018 - Apr 3, 2019
    Area covered
    Description

    USGS task order 140G0218F0420 required Winter, 2018/Spring, 2019 LiDAR surveys to be collected over 32,562 square miles covering part or all of 82 counties in Georgia and 3 partial counties in South Carolina in support of the State of Georgia and the USGS 3DEP program. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS...

  4. d

    1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Mar 11, 2025
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    U.S. Geological Survey (2025). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/1-meter-digital-elevation-models-dems-usgs-national-map-3dep-downloadable-data-collection
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM zones, it is delivered in both zones. The one-meter DEM is the highest resolution standard DEM offered in the 3DEP product suite. Other 3DEP products are nationally seamless DEMs in resolutions of 1/3, 1, and 2 arc seconds. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. Other 3DEP products include five-meter DEMs in Alaska as well as various source datasets including the lidar point cloud and interferometric synthetic aperture radar (Ifsar) digital surface models and intensity images. All 3DEP products are public domain.

  5. d

    USGS National Structures Dataset - USGS National Map Downloadable Data...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). USGS National Structures Dataset - USGS National Map Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/usgs-national-structures-dataset-usgs-national-map-downloadable-data-collection
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

  6. w

    2016 USGS Lidar DEM: Maine QL2

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2016 USGS Lidar DEM: Maine QL2 [Dataset]. https://data.wu.ac.at/schema/data_gov/YTc1Y2M4YzQtYzJjMi00NGY0LTk5NGItYmFkY2IyYjI0N2Jh
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    f33b98074d8996774ac5fa76572b93ec9c7e19c5
    Description

    Product: These are Digital Elevation Model (DEM) data for Franklin, Oxford, Piscataquis, and Somerset Counties, Maine as part of the required deliverables for the 2016 Maine Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened raster DEM. Geographic Extent: Four partial counties in western Maine, covering approximately 5,034 total square miles Dataset Description: Maine 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 6,115 individual 1,500 meter x 1,500 meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500 meter x 1,500 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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, Quantum Spatial, Inc. utilized a total of 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to the bare earth DEMs, the topobathy lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6264 Breaklines created from the lidar area also available for download in either gdb or gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6264/breaklines. The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.

  7. 2021 USGS Lidar: Central Eastern Massachusetts

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jun 17, 2022
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    OCM Partners (2022). 2021 USGS Lidar: Central Eastern Massachusetts [Dataset]. https://www.fisheries.noaa.gov/inport/item/69417
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    las/laz - laserAvailable download formats
    Dataset updated
    Jun 17, 2022
    Dataset provided by
    OCM Partners
    Time period covered
    Mar 20, 2021 - Apr 24, 2021
    Area covered
    Description

    Product: Classified LAS 1.4 files, formatted to 6,038 individual 1,500m x 1,500m tiles covering the Central Eastern Massachusetts project area. Geographic Extent: This dataset and derived products encompass an area covering approximately 5,246 Square Miles of Massachusetts. Dataset Description: The Central Eastern Massachusetts Lidar project called for the planning, acquisition, and processi...

  8. 2019-2021 USGS Lidar: Alameda County Lidar

    • fisheries.noaa.gov
    not applicable
    Updated Dec 22, 2021
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    OCM Partners (2021). 2019-2021 USGS Lidar: Alameda County Lidar [Dataset]. https://www.fisheries.noaa.gov/inport/item/71712
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    not applicableAvailable download formats
    Dataset updated
    Dec 22, 2021
    Dataset provided by
    OCM Partners
    Time period covered
    Jul 2, 2019 - Jul 2, 2021
    Area covered
    Description

    This metadata reflects the combination of three lidar collections over Alameda County, CA. These are: 1) a 2019 QL1 collection upgraded to 3DEP specifications; 2) a 2021 QL1 collection; and 3) a 2021 QL0 collection. Each dataset has an Entwine Point Tile version that makes the data accessible by the Digital Coast Data Access Viewer. This metadata is to support that use by the Data Access Viewer...

  9. d

    1 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Mar 11, 2025
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    U.S. Geological Survey (2025). 1 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/1-arc-second-digital-elevation-models-dems-usgs-national-map-3dep-downloadable-data-collec
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is 1 arc-second (approximately 30 m) resolution. The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The seamless 1 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless 1 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and much of Alaska and Canada. The seamless 1 arc-second DEM is available as pre-staged current and historical products tiled in GeoTIFF format. The seamless 1 arc-second DEM layer is updated continually as new data become available in the current folder. Previously created 1 degree blocks are retained in the historical folder with an appended date suffix (YYYYMMDD) when they were produced. Other 3DEP products are nationally seamless DEMs in resolutions of 1 and 1/3 arc-second. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. Other 3DEP products include one-meter DEMs produced exclusively from high resolution light detection and ranging (lidar) source data and five-meter DEMs in Alaska as well as various source datasets including the lidar point cloud and interferometric synthetic aperture radar (Ifsar) digital surface models and intensity images. All 3DEP products are public domain.

  10. d

    2016 USGS Lidar: Maine QL2.

    • datadiscoverystudio.org
    • fisheries.noaa.gov
    • +1more
    Updated Feb 7, 2018
    + more versions
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    (2018). 2016 USGS Lidar: Maine QL2. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/66d0982402984d10bbf422fccba3ec23/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: Product: This lidar data set includes classified LAS files, breaklines, digital elevation models (DEMs), intensity imagery, and contours. Geographic Extent: Four partial counties in western Maine, covering approximately 5,034 total square miles Dataset Description: Maine 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS files formatted to 6,115 individual 1,500 meter x 1,500 meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500 meter x 1,500 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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, Quantum Spatial, Inc. utilized a total of 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 1 m grid spacing, created from the lidar point data are also available. These data are available for download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6267 Breaklines created from the lidar area also available for download in either gdb or gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6264/breaklines The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.; abstract: Product: This lidar data set includes classified LAS files, breaklines, digital elevation models (DEMs), intensity imagery, and contours. Geographic Extent: Four partial counties in western Maine, covering approximately 5,034 total square miles Dataset Description: Maine 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS files formatted to 6,115 individual 1,500 meter x 1,500 meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500 meter x 1,500 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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, Quantum Spatial, Inc. utilized a total of 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 1 m grid spacing, created from the lidar point data are also available. These data are available for download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6267 Breaklines created from the lidar area also available for download in either gdb or gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6264/breaklines The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.

  11. 2020 USGS Lidar DEM: Savannah Pee Dee, SC

    • fisheries.noaa.gov
    geotiff
    Updated Sep 4, 2020
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    OCM Partners (2020). 2020 USGS Lidar DEM: Savannah Pee Dee, SC [Dataset]. https://www.fisheries.noaa.gov/inport/item/65959
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    geotiffAvailable download formats
    Dataset updated
    Sep 4, 2020
    Dataset provided by
    OCM Partners
    Time period covered
    Jan 1, 2020 - Feb 3, 2020
    Area covered
    Allendale County, Georgetown County, Sumter County, Chesterfield County, Fairfield County, Lee County, Charleston County, Marlboro County, Newberry County, Beaufort County
    Description

    Product: Lidar based digital elevation model (DEM) data tiles for ground classified points.

    Geographic Extent: Approximately 21,453 square miles across South Carolina; Block 1 (Lot 6 QL2) - approximately 3,583 square miles in Anderson, Cherokee, Greenville, Laurens, Newberry, Oconee, Pickens, Spartanburg, and Union counties Block 2 (Lot 7 QL1) - approximately 950 square miles in Greenvill...

  12. U

    Topobathymetric elevation models of the upper Delaware River, USA - Version...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Sep 21, 2020
    + more versions
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    John Young (2020). Topobathymetric elevation models of the upper Delaware River, USA - Version 1 [Dataset]. http://doi.org/10.5066/P97031JUv
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    Dataset updated
    Sep 21, 2020
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    John Young
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Nov 26, 2012 - Dec 20, 2012
    Area covered
    Delaware River, United States
    Description

    This dataset includes topographic elevations (in meters) surrounding and bathymetric elevations within the upper Delaware River (USA). Bathymetric lidar data was acquired using the Experimental Advanced Airborne Research Lidar, version B. The EAARL-B is a successor instrument to the original EAARL bathymetric LiDAR sensor developed for mapping coral reef environments in clear water, but subsequently used in river mapping. Both the original EAARL and the EAARL-B are small footprint, full waveform digitizing, green wavelength (532nm) airborne laser scanners, capable of acquiring laser returns from submerged as well as subaerial topography. Improvements from the original sensor include increased sample density, increased pulse rate, enhanced deep and shallow bathymetry performance, and improved data processing hardware. The EAARL-B sensor differs from the original in a 10x laser power increase, and incorporation of three shallow water receiving channels, as well as a deep water recei ...

  13. U

    Enhanced Terrain Imagery of the State College 30 x 60 Minute Quadrangle from...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Dec 21, 2023
    + more versions
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    Rachel Jackson; Daniel Doctor (2023). Enhanced Terrain Imagery of the State College 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution [Dataset]. http://doi.org/10.5066/P9WPVKNE
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    Dataset updated
    Dec 21, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Rachel Jackson; Daniel Doctor
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2016 - 2019
    Description

    This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the State College 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2016 and 2019 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

  14. 2021 - 2022 USGS Lidar (QL1): Southeast Minnesota Driftless

    • fisheries.noaa.gov
    las/laz - laser
    Updated Aug 31, 2022
    + more versions
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    OCM Partners (2022). 2021 - 2022 USGS Lidar (QL1): Southeast Minnesota Driftless [Dataset]. https://www.fisheries.noaa.gov/inport/item/70275
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    las/laz - laserAvailable download formats
    Dataset updated
    Aug 31, 2022
    Dataset provided by
    OCM Partners
    Time period covered
    Apr 22, 2021 - Jun 13, 2021
    Area covered
    Mower County, Minnesota, Rice County, Dakota County, Houston County, Fillmore County, Waseca County, Steele County, VERTICAL LOCATION > LAND SURFACE, Minnesota, United States
    Description

    Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: This dataset covers approximately 5847 square miles in southeast Minnesota and consists of 3 deliveries or blocks. MN_SEDriftless_1 (Work Unit 228969) - Approximately 1,741 square miles in southeast Minnesota, including Dakota, Dodge, Freeborn, Mower, Rice, Scott, Steele, and Waseca counties MN...

  15. d

    USGS 1 arc-second Digital Elevation Model

    • catalog.data.gov
    • portal.opentopography.org
    • +3more
    Updated Sep 3, 2021
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    null (Originator) (2021). USGS 1 arc-second Digital Elevation Model [Dataset]. https://catalog.data.gov/dataset/usgs-1-arc-second-digital-elevation-model
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    Dataset updated
    Sep 3, 2021
    Dataset provided by
    null (Originator)
    Description

    This is a 1 arc-second (approximately 30 m) resolution tiled collection of the 3D Elevation Program (3DEP) seamless data products . 3DEP data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. 3DEP data compose an elevation dataset that consists of seamless layers and a high resolution layer. Each of these layers consists of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. 3DEP data are updated continually as new data become available. Seamless 3DEP data are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the conterminous United States, are referenced to the North American Vertical Datum of 1988 (NAVD 88). The vertical reference will vary in other areas. The elevations in these DEMs represent the topographic bare-earth surface. All 3DEP products are public domain. This dataset includes data over Canada and Mexico as part of an international, interagency collaboration with the Mexico's National Institute of Statistics and Geography (INEGI) and the Natural Resources Canada (NRCAN) Centre for Topographic Information-Sherbrook, Ottawa. For more details on the data provenance of this dataset, visit here and here. Click here for a broad overview of this dataset

  16. a

    3DEP LidarExplorer

    • amerigeo.org
    • hub.arcgis.com
    Updated Jul 9, 2021
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    AmeriGEOSS (2021). 3DEP LidarExplorer [Dataset]. https://www.amerigeo.org/documents/25eab4bcf1dd4fddb8b90fca0c217013
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    Dataset updated
    Jul 9, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Description

    The LidarExplorer was originally created to enable identification of lidar projects having 3D visualization enabled (via Entwine) and having Amazon AWS cloud access. Now that all of the USGS Lidar products are available in the Cloud and 3D visualization is being enabled for all projects, these original requirements have been satisfied.Moving forward this application will bring together the necessary information for discovering and understanding the underlying 3DEP elevation data and provide avenues for efficiently processing the data within the cloud to avoid the need to download and process data locally. Users will be able to define their area of interest, select and filter products based on needs, create processing pipelines for transforming the data into derived products or results and execute the processing using within-cloud processing capabilities.

  17. c

    Enhanced Terrain Imagery of the Roanoke 30 x 60 Minute Quadrangle from...

    • s.cnmilf.com
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Enhanced Terrain Imagery of the Roanoke 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/enhanced-terrain-imagery-of-the-roanoke-30-x-60-minute-quadrangle-from-lidar-derived-eleva
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Roanoke 30 x 60 minute quadrangle in Virginia. It also covers a part of the Appalachian Basin Province. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2021 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

  18. U

    USGS 1/3 arc-second Digital Elevation Model

    • portal.opentopography.org
    • search.dataone.org
    • +3more
    raster
    Updated Jun 18, 2021
    + more versions
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    OpenTopography (2021). USGS 1/3 arc-second Digital Elevation Model [Dataset]. http://doi.org/10.5069/G98K778D
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    rasterAvailable download formats
    Dataset updated
    Jun 18, 2021
    Dataset provided by
    OpenTopography
    Time period covered
    Jan 1, 1923 - Dec 31, 2017
    Area covered
    Variables measured
    Area, Unit, RasterResolution
    Dataset funded by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This collection of the 3D Elevation Program (3DEP) is at 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The vertical reference will vary in other areas. The seamless 1/3 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. All 3DEP products are public domain.

    Click here for more details on this dataset

  19. V

    Virginia LiDAR Download Application

    • data.virginia.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 27, 2024
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    Prince William County (2024). Virginia LiDAR Download Application [Dataset]. https://data.virginia.gov/dataset/virginia-lidar-download-application
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Prince William County, Virginia
    Authors
    Prince William County
    Area covered
    Virginia
    Description

    Virginia LiDAR

    The Virginia LiDAR Inventory Web Mapping Application provides access to LiDAR point cloud, bare earth digital terrain elevation models (DEM's) and individual project metadata collected in the Commonwealth of Virginia according to the USGS 3DEP specification. The application links to resources served from NOAA and USGS data portals.

  20. 2019 - 2020 USGS Lidar: 8 Northwest Counties, IL

    • fisheries.noaa.gov
    las/laz - laser
    Updated Feb 16, 2021
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    OCM Partners (2021). 2019 - 2020 USGS Lidar: 8 Northwest Counties, IL [Dataset]. https://www.fisheries.noaa.gov/inport/item/70314
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    las/laz - laserAvailable download formats
    Dataset updated
    Feb 16, 2021
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Nov 23, 2019 - Dec 7, 2019
    Area covered
    Rock Island County, Lee County, Illinois, Jo Daviess Country, Carroll County, Henry County, VERTICAL LOCATION > LAND SURFACE, Illinois, United States, Illinois, Illinois
    Description

    Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1000 meter x 1000 meter tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.

    Dataset Description: This lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing of 0.5 meter. P...

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Hobu, Inc. (2019). USGS 3DEP LiDAR Point Clouds [Dataset]. https://registry.opendata.aws/usgs-lidar/

USGS 3DEP LiDAR Point Clouds

Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 22, 2019
Dataset provided by
<a href="https://hobu.co">Hobu, Inc.</a>
Description

The goal of the USGS 3D Elevation Program (3DEP) is to collect elevation data in the form of light detection and ranging (LiDAR) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. This dataset provides two realizations of the 3DEP point cloud data. The first resource is a public access organization provided in Entwine Point Tiles format, which a lossless, full-density, streamable octree based on LASzip (LAZ) encoding. The second resource is a Requester Pays of the original, Raw LAZ (Compressed LAS) 1.4 3DEP format, and more complete in coverage, as sources with incomplete or missing CRS, will not have an ETP tile generated. Resource names in both buckets correspond to the USGS project names.

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