100+ datasets found
  1. U

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

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Feb 14, 2025
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    U.S. Geological Survey (2025). Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:b7e353d2-325f-4fc6-8d95-01254705638a
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    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 ...

  2. 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.

  3. 2019 USGS Lidar: South New Jersey

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jun 30, 2020
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    OCM Partners (2020). 2019 USGS Lidar: South New Jersey [Dataset]. https://www.fisheries.noaa.gov/inport/item/63238
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    las/laz - laserAvailable download formats
    Dataset updated
    Jun 30, 2020
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Mar 8, 2019 - Apr 23, 2019
    Area covered
    Description

    This metadata record describes the lidar point cloud data encompassing Southern New Jersey, collected as 2 areas of interest through the USGS projects titled 'NJ South 4-County' and 'NJ South FEMA' by the Sanborn Map Company, Inc. NOAA's Office for Coastal Management retrieved the data from the USGS' rockyftp website and processed it to the Digital Coast.

    Product: These lidar data are process...

  4. a

    2014 Metro Phoenix USGS LiDAR Data

    • geodata-asu.hub.arcgis.com
    Updated Jun 13, 2020
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    Arizona State University (2020). 2014 Metro Phoenix USGS LiDAR Data [Dataset]. https://geodata-asu.hub.arcgis.com/app/0372792855514dd3bf9654c20bbe10e6
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    Dataset updated
    Jun 13, 2020
    Dataset authored and provided by
    Arizona State University
    Description

    This web map provides an index for ​identifying subsets of LiDAR data acquired for the greater metropolitan Phoenix region in 2014 via a (non-3DEP) USGS LiDAR program.Two index layers are included in this web map: (1) Point Cloud Index, (2) Raster Index. Another layer, Maricopa County Municipalities, is included as an additional geographic reference aid. LiDAR Point Cloud Index The Point Cloud Index layer indexes the raw LiDAR point cloud data (available in las/laz file formats). Each tile's file name can be identified by clicking on a particular tile.DEM Raster IndexThe Raster Index layer indexes the LiDAR-derived bare earth digital elevation model (DEM) surface data (available in tif file format). Users can click on a particular tile within the index to identify its ID.Once you have identified your file name or ID of interest, please submit a quick service request through the Map and Geospatial Hub's Service Request Form.Technical SpecificationsHorizontal Projection: UTM 12N WGS 84 (meters)Vertical Datum: NAVD 1988 (meters) Geoid 12APoint Spacing (minimum): 0.5 m / 1.64 ftAbove Ground Level (AGL) average flight height: 1700 m / 5,579 ftMean Sea Level (MSL) average flying height: 1981 m / 6500 ftAverage Ground Speed: 140 knots / 161 mphField of View (full): 28 degreesPulse Rate: 312.2 kHzScan Rate: 54.8 HzSide Lap (Minimum): 25%

  5. 2023 USGS Lidar: Southwest Central Alabama

    • fisheries.noaa.gov
    las/laz - laser +1
    Updated Jan 1, 2024
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    OCM Partners (2024). 2023 USGS Lidar: Southwest Central Alabama [Dataset]. https://www.fisheries.noaa.gov/inport/item/72983
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    not applicable, las/laz - laserAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Jan 9, 2023 - Mar 5, 2023
    Area covered
    Description

    The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the AL_SWCentral_B22 UTM Zone 16N boundary, approximately 4685 square miles in the following counties: Choctaw, Mobile, Tuscaloosa, Washington

    Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified...

  6. U

    Lineament mapping from lidar datasets in the Pit River region, northeastern...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
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    Richard Briggs; Ryan Gold; Stephen DeLong; Madeline Hille; Jaime Delano; Samuel Johnstone; Alexandra Pickering; Rachel Phillips; Andrew Calvert, Lineament mapping from lidar datasets in the Pit River region, northeastern California [Dataset]. http://doi.org/10.5066/P9CI96AS
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Richard Briggs; Ryan Gold; Stephen DeLong; Madeline Hille; Jaime Delano; Samuel Johnstone; Alexandra Pickering; Rachel Phillips; Andrew Calvert
    License

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

    Time period covered
    Mar 15, 2022
    Area covered
    Pit River, California
    Description

    This dataset contains linework of lineaments mapped on 4 <1-m-resolution lidar datasets and the 10-m-resolution National Elevation Dataset digital elevation models in the Pit River region of northeastern California. Lineaments are classified by confidence in tectonic origin, map certainty, and the ages of the bedrock and surficial deposits they cross.

  7. d

    Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 20, 2024
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    U.S. Geological Survey (2024). Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 [Dataset]. https://catalog.data.gov/dataset/lidar-point-clouds-lpcs-digital-elevation-models-dems-and-snow-depth-raster-maps-derive-20
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Colorado River
    Description

    This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.

  8. U

    2019 Eastern Iowa Topographic Lidar Validation – USGS Field Survey Data

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 18, 2024
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    Jeffrey Irwin; Jeffrey Danielson; Terry Robbins; Travis Kropuenske; Aparajithan Sampath; Minsu Kim; Seonkyung Park (2024). 2019 Eastern Iowa Topographic Lidar Validation – USGS Field Survey Data [Dataset]. http://doi.org/10.5066/P9DI0G64
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jeffrey Irwin; Jeffrey Danielson; Terry Robbins; Travis Kropuenske; Aparajithan Sampath; Minsu Kim; Seonkyung Park
    License

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

    Time period covered
    Oct 25, 2020 - Oct 31, 2020
    Area covered
    Iowa
    Description

    U.S. Geological Survey (USGS) scientists conducted field data collection efforts between October 25th and 31st, 2020 at several sites in eastern Iowa using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topographic light detection and ranging (lidar) data that was collected between December 7th, 2019 and November 19th, 2020 using wide area mapping lidar systems for the USGS 3D Elevation Program (3DEP). The goal was to compare and validate the airborne lidar data to topographic, structural, and infrastructural data collected through more traditional means (e.g., Global Navigational Satellite System (GNSS) surveying). Evaluating these data will provide valuable information on the performance of wide area topographic lidar mapping capabilities that are becoming more widely used in 3DEP. The airborne lidar was collected to support the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Hig ...

  9. 2018 - 2020 NOAA USGS Lidar: Hawaii, HI

    • fisheries.noaa.gov
    • datasets.ai
    • +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...

  10. c

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

    • s.cnmilf.com
    • 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://s.cnmilf.com/user74170196/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.

  11. a

    Digital Elevation Model (DEM) - USGS LiDAR

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 1, 2018
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    Dauphin County, PA (2018). Digital Elevation Model (DEM) - USGS LiDAR [Dataset]. https://hub.arcgis.com/documents/339f39c0b4054cbc90c454b7dfb61231
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    Dataset updated
    May 1, 2018
    Dataset authored and provided by
    Dauphin County, PA
    Description

    The Dauphin County, PA 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) State Plane Pennsylvania South Zone, US survey feet; NAVD1988 (Geoid 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 711 individual 5,000-foot x 5,000-foot tiles. Tile names use the following naming schema: "YYYYXXXXPAd" where YYYY is the first 3 characters of the tile's upper left corner Y-coordinate, XXXX - the first 4 characters of the tile's upper left corner X-coordinate, PA = Pennsylvania, and d = 'N' for North or 'S' for South. Corresponding 2.5-foot gridded hydro-flattened bare earth raster tiled DEM files and intensity image files were created using the same 5,000-foot x 5,000-foot schema. Hydro-flattened breaklines were produced in Esri file geodatabase format. Continuous 2-foot contours were produced in Esri file geodatabase format. Ground Conditions: LiDAR collection began in Spring 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, Quantum Spatial established a total of 84 control points (24 calibration control points and 60 QC checkpoints). These were used to calibrate the LIDAR to known ground locations established throughout the project area.

  12. A 2-Meter Resolution Height Above Ground Map of San Francisco from USGS 3DEP...

    • zenodo.org
    tiff
    Updated May 16, 2025
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    Kyle Kristian Kabasares; Kyle Kristian Kabasares (2025). A 2-Meter Resolution Height Above Ground Map of San Francisco from USGS 3DEP Airborne LiDAR Data [Dataset]. http://doi.org/10.5281/zenodo.15443630
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    tiffAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kyle Kristian Kabasares; Kyle Kristian Kabasares
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    San Francisco
    Description

    A 2-meter height above ground map aka a normalized digital surface model (DSM) or canopy height model (CHM) of San Francisco, CA. The original LiDAR data and digital elevation models are provided by the United States Geological Survey at: https://rockyweb.usgs.gov/vdelivery/Datasets/.

    Specifically, the 1 meter bare-Earth digital terrain model (DTM) is provided here.

    The 2 meter highest LiDAR return aka digital surface model is provided here.

    The 1 meter data was resampled to 2 meters with minimum pooling. The individual DTM and DSM rasters were mosaicked, and subsequently aligned in QGIS. The height above ground is calculated via: DSM - DTM.

  13. U

    2018 lidar-derived imagery of karst areas in Puerto Rico at 1-meter...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    + more versions
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    Cheyenne Cox; Daniel Doctor, 2018 lidar-derived imagery of karst areas in Puerto Rico at 1-meter resolution [Dataset]. http://doi.org/10.5066/P98XAH2V
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Cheyenne Cox; Daniel Doctor
    License

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

    Time period covered
    Jul 5, 2016 - Aug 15, 2018
    Area covered
    Puerto Rico
    Description

    This raster dataset contains 1-meter lidar-derived imagery of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using geographic information systems (GIS) software. Lidar-derived elevation data, acquired in 2018, were used to create a 1-meter resolution working digital elevation model (DEM). To create this imagery, a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create these 1-meter resolution lidar-derived images. The data is projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.

  14. d

    Maine Lidar-Derived Watersheds

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Maine Lidar-Derived Watersheds [Dataset]. https://catalog.data.gov/dataset/maine-lidar-derived-watersheds
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Maine
    Description

    Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments and have a 12-digit Hydrologic Unit Code (HUC12) identifier attribute field that has a one-to-one match with the national WBD dataset (https://www.usgs.gov/national-hydrography/watershed-boundary-dataset). This data release consists of a zip file containing an ESRI polygon shapefile (vector GIS dataset). This work was conducted in cooperation with Maine Department of Transportation and Maine Office of GIS. Curtis Price, 20160606, WBD HU12 Pour Points derived from NHDPlus: U.S. Geological Survey data release, https://www.sciencebase.gov/catalog/item/5762b664e4b07657d19a71ea

  15. 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, LLC
    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...

  16. G

    USGS 3DEP National Map Spatial Metadata 1/3 Arc-Second (10m)

    • developers.google.com
    Updated May 6, 2020
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    United States Geological Survey (2020). USGS 3DEP National Map Spatial Metadata 1/3 Arc-Second (10m) [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/USGS_3DEP_10m_metadata
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    Dataset updated
    May 6, 2020
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Time period covered
    Aug 16, 1998 - May 6, 2020
    Area covered
    Description

    This is a table with metadata for the 3DEP 10m DEM asset. The Work unit Extent Spatial Metadata (WESM) contains current lidar data availability and basic information about lidar projects, including lidar quality level, data acquisition dates, and links to project-level metadata. See more details in this document (taken from this page). Dataset uploaded by Farmers Business Network.

  17. BLM Natl 3DEP LiDAR Priorities

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 20, 2024
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    Bureau of Land Management (2024). BLM Natl 3DEP LiDAR Priorities [Dataset]. https://catalog.data.gov/dataset/blm-natl-sma-lidar-priorities
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    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    BLM 3DEP LIDAR Priority Planning Areas map service for viewing BLM’s participation to the USGS 3DEP (3D Elevation Program) to collaborate to acquire high-resolution LiDAR data that is available through the USGS National Map. The implementation of this map service allows the BLM to have more flexibility for tracking ongoing BLM 3DEP acquisition through this USGS and BLM partnership. Additionally, BLM high, medium, and low priorities are included, as well as areas where BLM projects have been completed and are available on the USGS National Map.

  18. a

    MGS Lidar Hillshade

    • maine.hub.arcgis.com
    Updated Apr 27, 2021
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    State of Maine (2021). MGS Lidar Hillshade [Dataset]. https://maine.hub.arcgis.com/maps/8178f30e3f704d20ab4206950e180fd5
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    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    This is compilation of Maine DEMs generated from lidar as a hillshade for MGS web applications. Not all view scales have been created.Users looking for lidar data and/or data derivatives should contact, in order:United States Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/Maine GeoLibrary Elevation Discovery and Download: https://www1.maine.gov/geolib/ediscovery/site/landing.htmlNational Map (USGS) ftp: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/

  19. d

    Topographic Lidar Survey of the Alabama, Mississippi, and Southeast...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Topographic Lidar Survey of the Alabama, Mississippi, and Southeast Louisiana Barrier Islands, from September 5 to October 11, 2012 -- Classified Point Data [Dataset]. https://catalog.data.gov/dataset/topographic-lidar-survey-of-the-alabama-mississippi-and-southeast-louisiana-barrier-island-20a1a
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Alabama, Mississippi, Louisiana
    Description

    This Data Series Report contains lidar elevation data collected September 5 to October 11, 2012, for the barrier islands of Alabama, Mississippi and southeast Louisiana, including the coast near Port Fourchon. Most of the data were collected September 5-10, 2012, with a reflight conducted on October 11, 2012, to increase point density in some areas. Lidar data exchange format (LAS) 1.2 formatted point data files were generated based on these data. The point cloud data were processed to extract bare earth data; therefore, the point cloud data are organized into only four classes: 1-unclassified, 2-ground, 7-noise and 9-water. Aero-Metric, Inc., was contracted by the U.S. Geological Survey (USGS) to collect and process these data. The lidar data were collected at a nominal pulse spacing (NPS) of 1.0 meter (m). The horizontal projection and datum of the data are Universe Transverse Mercator, zones 15N and 16N, North American Datum 1983 (UTM Zone 15N or 16N NAD83), meters. The vertical datum is North American Vertical Datum 1988, Geoid 2012 (NAVD88, GEOID12), meters. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.

  20. U

    USGS 1 arc-second Digital Elevation Model

    • portal.opentopography.org
    • search.dataone.org
    • +3more
    raster
    Updated Jun 18, 2021
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    OpenTopography (2021). USGS 1 arc-second Digital Elevation Model [Dataset]. http://doi.org/10.5069/G9HX19WN
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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 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

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U.S. Geological Survey (2025). Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:b7e353d2-325f-4fc6-8d95-01254705638a

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

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 14, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
U.S. Geological Survey
License

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

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 ...

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