14 datasets found
  1. d

    2020 LiDAR - Classified LAS

    • opendata.dc.gov
    • catalog.data.gov
    • +1more
    Updated Dec 21, 2020
    + more versions
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    City of Washington, DC (2020). 2020 LiDAR - Classified LAS [Dataset]. https://opendata.dc.gov/datasets/2020-lidar-classified-las/about
    Explore at:
    Dataset updated
    Dec 21, 2020
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. This dataset provided as an ArcGIS Image service. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The individual LAS point cloud datasets are available under additional options when viewing downloads.

  2. NEON Teaching Data: LiDAR Point Cloud (.las) Data

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    bin
    Updated May 30, 2023
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    NEON Data Skills Teaching Data Subsets (2023). NEON Teaching Data: LiDAR Point Cloud (.las) Data [Dataset]. http://doi.org/10.6084/m9.figshare.4307750.v1
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    binAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    NEON Data Skills Teaching Data Subsets
    License

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

    Description

    This .las file contains sample LiDAR point cloud data collected by National Ecological Observatory Network's Airborne Observation Platform. The .las file format is a commonly used file format to store LIDAR point cloud data.This teaching data set is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).

  3. d

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

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Sep 24, 2025
    + more versions
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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
    Sep 24, 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.

  4. k

    Kentucky LiDAR Point Cloud Data

    • kyfromabove.ky.gov
    • data-bgky.hub.arcgis.com
    Updated Aug 30, 2016
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    KyGovMaps (2016). Kentucky LiDAR Point Cloud Data [Dataset]. https://kyfromabove.ky.gov/maps/b5ff91df6309491090c20333c8f58f52
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    Dataset updated
    Aug 30, 2016
    Dataset authored and provided by
    KyGovMaps
    Area covered
    Description

    This web map allows for the download of KyFromAbove LiDAR data by 5k tile in LAZ format. This point cloud data was acquired during the typical leaf-off acquisition period (winter-spring) over a period of several years and may be provided as LAS version 1.1, 1.2, or 1.4 depending upon the acquisition period. Users will need to download the LAZIP.exe in order to decompress each tile. LiDAR data specifications adopted by the KyFromAbove Technical Advisory Committee can be found here. This is the source data used to create the Commonwealth's 5 foot digital elevation model (DEM) and its associated derivatives. More information regarding this data resource can be found on the KyGeoPortal.

  5. LiDAR Map

    • datos.gob.es
    Updated Jul 21, 2025
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    Centro Nacional de Información Geográfica (2025). LiDAR Map [Dataset]. https://datos.gob.es/en/catalogo/e00125901-spaign-mapa-lidar
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    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    Centro Nacional de Información Geográfica
    License

    https://www.ign.es/resources/licencia/Condiciones_licenciaUso_IGN.pdfhttps://www.ign.es/resources/licencia/Condiciones_licenciaUso_IGN.pdf

    Description

    Digital Surface Model (DSM) has three layers. Two layers come from the rasterisation of the building and vegetation classes among all the points of the LiDAR file .las; and the third layer is the hydrography of the Geographical Reference Information. By applying a suitable colour for each layer, the final product is visualised. ECW file format. ETRS89 reference geodetic system (in the Canary Islands REGCAN95, compatible with ETRS89) and EPSG projection: 3857 throughout the national territory

  6. 2016 - 2019 USGS Lidar: Alabama 25 County

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jan 1, 2016
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    OCM Partners (2016). 2016 - 2019 USGS Lidar: Alabama 25 County [Dataset]. https://www.fisheries.noaa.gov/inport/item/64305
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    las/laz - laserAvailable download formats
    Dataset updated
    Jan 1, 2016
    Dataset provided by
    OCM Partners
    Time period covered
    Dec 2, 2016 - Feb 15, 2017
    Area covered
    Alabama, United States, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama, United States, Alabama
    Description

    This data set is tiled lidar point cloud LAS files v1.4, for the 2016 Alabama 25 County lidar area of interest (AOI).

    USGS NGTOC task order G17PD00243 required Spring 2017 LiDAR surveys to be collected over 18,845 square miles covering part or all of 25 counties in Alabama. These counties are Autauga, Baldwin, Barbour, Bullock, Butler, Chambers, Cherokee, Clarke, Conecuh, Covington, Cre...

  7. o

    Scottish Public Sector LiDAR Dataset

    • registry.opendata.aws
    Updated Sep 29, 2021
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    Joint Nature Conservation Committee (2021). Scottish Public Sector LiDAR Dataset [Dataset]. https://registry.opendata.aws/scottish-lidar/
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    Dataset updated
    Sep 29, 2021
    Dataset provided by
    <a href="https://jncc.gov.uk/">Joint Nature Conservation Committee</a>
    Area covered
    Scotland
    Description

    This dataset is Lidar data that has been collected by the Scottish public sector and made available under the Open Government Licence. The data are available as point cloud (LAS format or in LAZ compressed format), along with the derived Digital Terrain Model (DTM) and Digital Surface Model (DSM) products as Cloud optimized GeoTIFFs (COG) or standard GeoTIFF. The dataset contains multiple subsets of data which were each commissioned and flown in response to different organisational requirements. The details of each can be found at https://remotesensingdata.gov.scot/data#/list

  8. 2019 - 2020 USGS Lidar: Ohio Statewide - Phase 1

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jun 8, 2021
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    OCM Partners (2021). 2019 - 2020 USGS Lidar: Ohio Statewide - Phase 1 [Dataset]. https://www.fisheries.noaa.gov/inport/item/69581
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    las/laz - laserAvailable download formats
    Dataset updated
    Jun 8, 2021
    Dataset provided by
    OCM Partners
    Time period covered
    Nov 4, 2019 - Feb 21, 2020
    Area covered
    Mercer County, Lake County, Knox County, Ashland County, Van Wert County, Geauga County, Richland County, Auglaize County, Portage County, Erie County
    Description

    Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.

    Geographic Extent: Approximately 12,808.6 square miles across northern Ohio OH_Statewide_Phase1_1 - Work Unit 182846 (Blocks 1 and 10) approximately 1369 and 732 square miles OH_Statewide_Phase1_2 - Work Unit 198017 (Blocks 11 and 12) approximately 793 and 849 square miles OH_Statewide_Phase1_3 - Work Uni...

  9. U

    Utah Geological Survey Lidar

    • portal.opentopography.org
    • search.dataone.org
    • +2more
    point cloud data
    Updated May 9, 2013
    + more versions
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    OpenTopography (2013). Utah Geological Survey Lidar [Dataset]. http://doi.org/10.5069/G90C4SPQ
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    point cloud dataAvailable download formats
    Dataset updated
    May 9, 2013
    Dataset provided by
    OpenTopography
    Time period covered
    Sep 23, 2011 - Oct 27, 2011
    Area covered
    Variables measured
    Area, Unit, LidarReturns, PointDensity
    Dataset funded by
    Utah Geological Survey
    Environmental Protection Agency
    Utah Division of Emergency Management
    Description

    The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects. In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah. The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files. The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners.

    These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.

  10. m

    City of Melbourne 3D Point Cloud 2018

    • data.melbourne.vic.gov.au
    Updated Nov 19, 2019
    + more versions
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    (2019). City of Melbourne 3D Point Cloud 2018 [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/city-of-melbourne-3d-point-cloud-2018/
    Explore at:
    Dataset updated
    Nov 19, 2019
    License

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

    Area covered
    Melbourne, Melbourne
    Description

    3D point cloud representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne. The data has been encoded into a .las file format containing geospatial coordinates and RGB values for each point. The download is a zip file containing compressed .las files for tiles across the city area.

    The geospatial data has been captured in Map Grid of Australia (MGA) Zone 55 projection and is reflected in the xyz coordinates within each .las file. Also included are RGB (Red, Green, Blue) attributes to indicate the colour of each point.

    Capture Information - Capture Date: May 2018 - Capture Pixel Size: 7.5cm ground sample distance - Map Projection: MGA Zone 55 (MGA55) - Vertical Datum: Australian Height Datum (AHD) - Spatial Accuracy (XYZ): Supplied survey control used for control (Madigan Surveying) – 25 cm absolute accuracy

    Limitations: Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

    Sample Data: For an interactive sample of the data please see the link below. https://cityofmelbourne.maps.arcgis.com/apps/webappviewer3d/index.html?id=b3dc1147ceda46ffb8229117a2dac56dPreview:Download:A zip file containing the .las files representing tiles of point cloud data across City of Melbourne area. Download Point Cloud Data (4GB)

  11. Home Datasets Development, Geography and Land Information

    • data.gov.hk
    Updated Apr 4, 2023
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    data.gov.hk (2023). Home Datasets Development, Geography and Land Information [Dataset]. https://data.gov.hk/en-data/dataset/hk-cedd-csu-lidar
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    Dataset updated
    Apr 4, 2023
    Dataset provided by
    data.gov.hk
    Description

    LiDAR data is made available on the Hong Kong Common Spatial Data Infrastructure (CSDI) Portal.

  12. Bay of Plenty LiDAR 1m DEM (2019-2022)

    • data.linz.govt.nz
    • geodata.nz
    ascii grid, geotiff +2
    + more versions
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    Land Information New Zealand, Bay of Plenty LiDAR 1m DEM (2019-2022) [Dataset]. https://data.linz.govt.nz/layer/105690-bay-of-plenty-lidar-1m-dem-2019-2022/
    Explore at:
    kea, ascii grid, pdf, geotiffAvailable download formats
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This layer contains the Digital Elevation Model for LiDAR data in the Bay of Plenty, captured between 27 October 2019 – 24 October 2022.

    LiDAR was captured for BOPLASS Ltd by Aerial Surveys Ltd between 27 October 2019 – 24 October 2022. These datasets were generated by Aerial Surveys Ltd and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.

    Data comprises:

    DEM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout

    DSM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout

    Point cloud: las tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout

    Pulse density specification is at a minimum of 999.0 pulses/square metre.

    Vertical Accuracy Specification is +/- 0.2m (95%) Horizontal Accuracy Specification is +/- 1.0m (95%)

    Vertical datum is NZVD2016.

  13. 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...

  14. Modelo Digital del Terreno con paso de malla de 5 metros (MDT05) de España

    • inspire-geoportal.ec.europa.eu
    • datos.gob.es
    • +2more
    file for download +6
    Updated Dec 30, 2009
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    Instituto Geográfico Nacional (2009). Modelo Digital del Terreno con paso de malla de 5 metros (MDT05) de España [Dataset]. https://inspire-geoportal.ec.europa.eu/srv/api/records/spaignMDT05
    Explore at:
    ogc web coverage service, ogc web map service, ogc web map tile service, ogc api - coverages, ogc api - processes, ogc api - maps, file for downloadAvailable download formats
    Dataset updated
    Dec 30, 2009
    Dataset provided by
    Centro Nacional de Información Geográfica
    Instituto Geográfico Nacional
    Authors
    Instituto Geográfico Nacional
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

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

    Area covered
    Description

    Modelo digital del terreno realizado a partir de las nubes de puntos LIDAR de la primera Cobertura con un paso de malla de 5 metros.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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City of Washington, DC (2020). 2020 LiDAR - Classified LAS [Dataset]. https://opendata.dc.gov/datasets/2020-lidar-classified-las/about

2020 LiDAR - Classified LAS

Explore at:
Dataset updated
Dec 21, 2020
Dataset authored and provided by
City of Washington, DC
License

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

Area covered
Description

These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. This dataset provided as an ArcGIS Image service. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The individual LAS point cloud datasets are available under additional options when viewing downloads.

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