100+ datasets found
  1. 2023 USGS Lidar DEM: San Francisco, CA

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2024
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    OCM Partners (2024). 2023 USGS Lidar DEM: San Francisco, CA [Dataset]. https://www.fisheries.noaa.gov/inport/item/73506
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    geotiff, not applicableAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 20, 2023
    Area covered
    Description

    Original Dataset Product: These are Digital Elevation Model (DEM) data for California as part of the required deliverables for the CA_SanFrancisco_B23, Work Unit 300449 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 0.25 meter hydro-flattened Raster DEM.

    Original Dataset Geographic Extent: 4 counties (Alameda, Marin, San Francisco, San...

  2. d

    Texas Basemap - Lidar Elevation Data (DEM)

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 30, 2023
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    Texas Natural Resources Information System (TNRIS); Texas Geographic Information Office (TxGIO) (2023). Texas Basemap - Lidar Elevation Data (DEM) [Dataset]. http://doi.org/10.4211/hs.af6ae321e2ad40a1bc6d0b695370fbfc
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    Hydroshare
    Authors
    Texas Natural Resources Information System (TNRIS); Texas Geographic Information Office (TxGIO)
    Area covered
    Texas
    Description

    This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data.

    For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.
    Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick, QA/QC: Merrick Catalog: houston-galveston-area-council-h-gac-2008-lidar

    References: [1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/] [2] TNRIS/TxGIO DataHub [https://data.tnris.org/]

  3. Maryland LiDAR Statewide - DEM Meters

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    • +1more
    Updated Mar 1, 2019
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    ArcGIS Online for Maryland (2019). Maryland LiDAR Statewide - DEM Meters [Dataset]. https://data.imap.maryland.gov/datasets/1c6ce663eb3b499b9495010cb8c89df6
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    Dataset updated
    Mar 1, 2019
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    This statewide product was created and will continue to be maintained by the Eastern Shore Regional GIS Cooperative (ESRGC). It's a comprehensive mosaic of the most current LiDAR available for the State of Maryland.The creation and maintenance of this dataset, along with the creation of its services, was funded by the Maryland Department of Information Technology.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Statewide/MD_statewide_dem_m/ImageServer

  4. 2020 Lidar DEM: Santa Clara County, CA

    • fisheries.noaa.gov
    geotiff
    Updated Oct 19, 2020
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    OCM Partners (2020). 2020 Lidar DEM: Santa Clara County, CA [Dataset]. https://www.fisheries.noaa.gov/inport/item/64806
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    geotiffAvailable download formats
    Dataset updated
    Oct 19, 2020
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 3, 2020 - Apr 22, 2020
    Area covered
    Description

    Product: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 foot hydro-flattened Raster DEM. Geographic Extent: Santa Clara county, California, covering approximately 1771 square miles. Dataset Description: The lidar project called for the Plannin...

  5. a

    Digital Elevation Model (DEM) - USGS LiDAR

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated May 1, 2018
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    Dauphin County, PA (2018). Digital Elevation Model (DEM) - USGS LiDAR [Dataset]. https://arc-gis-hub-home-arcgishub.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.

  6. 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, LLC
    Time period covered
    Jan 1, 2020 - Feb 3, 2020
    Area covered
    Charleston County, Allendale County, Marlboro County, Georgetown County, Sumter County, Chesterfield County, Fairfield County, Newberry County, Beaufort County, Lee 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...

  7. a

    Elevation from Lidar (Image Service)

    • hub.arcgis.com
    • gis.data.mass.gov
    • +3more
    Updated Jul 23, 2020
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    MassGIS - Bureau of Geographic Information (2020). Elevation from Lidar (Image Service) [Dataset]. https://hub.arcgis.com/datasets/49cbba6636fa4c41a5ea162ccf1e41bc
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    Dataset updated
    Jul 23, 2020
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This is a seamless bare earth digital elevation model (DEM) created from lidar terrain elevation data for the Commonwealth of Massachusetts. It represents the elevation of the surface with vegetation and structures removed. The spatial resolution of the map is 1 meter. The elevation of each 1-meter square cell was linearly interpolated from classified lidar-derived point data.This version of the DEM stores the elevation values as integers. The native VALUE field represents the elevation above/below sea level in meters. MassGIS added a FEET field to the VAT (value attribute table) to store the elevation in feet as calculated by multiplying VALUE x 3.28084.Dates of lidar data used in this DEM range from 2010-2015. The overlapping lidar projects were adjusted to the same projection and datum and then mosaicked, with the most recent data replacing any older data. Several very small gaps between the project areas were patched with older lidar data where necessary or with models from recent aerial photo acquisitions. See https://www.mass.gov/doc/lidar-project-areas-original/download for an index map.This DEM is referenced to the WGS_1984_Web_Mercator_Auxiliary_Sphere spatial reference.See the MassGIS datalayer page to download the data as a file geodatabase raster dataset.View this service in the Massachusetts Elevation Finder.

  8. a

    Wisconsin DEM from LiDAR (Units in Feet)

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 14, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM from LiDAR (Units in Feet) [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/2b34b918351f4e4e942a084d00f01971
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Note: This service is only for using online; full resolution downloads are not supported. To enable pop ups when opening this in a new web map, then click the ellipsis (three blue dots) under the layer name in the contents, and choose Enable Pop-up.Image service created from Digital Elevation Models (DEMs) derived from county-produced LiDAR covering Wisconsin. Elevation units are in feet. This service was last updated May 2023. It can be used in conjunction with its associated Index layer, DEM and Hillshade from LiDAR - Index, to determine flight years of source LiDAR and resolution of source DEMs. Also see the Index layer item details for detailed information about counties included in this service and in related services: DEM from LiDAR (Units in Meters) and Hillshade from LiDAR.Some areas display as data gaps (white artifacts) when the service is viewed at statewide scales but display normally when zoomed in to scales of approximately 1:1,000,000 or larger. We hope to address the no-data areas and small-scale data gaps in future updates to this service. The source DEMs have not been hydrologically conditioned. The Vertical Datum for the DEMs is NAVD88.WI DNR acknowledges the USDA Natural Resources Conservation Service, USGS, FEMA, the Southeastern WI Regional Planning Commission, and the individual counties listed in DEM and Hillshade from LiDAR - Index, for making source data available. For more information, visit https://dnr.wi.gov/feedback/ and choose Geographic Information Systems Data as the subject.

  9. Digital Elevation Model (DEM) of Australia derived from LiDAR 5 Metre Grid

    • ecat.ga.gov.au
    • researchdata.edu.au
    esri:map-service +3
    Updated Aug 6, 2018
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    Commonwealth of Australia (Geoscience Australia) (2018). Digital Elevation Model (DEM) of Australia derived from LiDAR 5 Metre Grid [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/22be4b55-2465-4320-e053-10a3070a5236
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    ogc:wms, ogc:wcs, www:link-1.0-http--link, esri:map-serviceAvailable download formats
    Dataset updated
    Aug 6, 2018
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Area covered
    Description

    The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometres. These surveys cover Australia's populated coastal zone; floodplain surveys within the Murray Darling Basin, and individual surveys of major and minor population centres. All available 1 metre resolution LiDAR-derived DEMs have been compiled and resampled to 5 metre resolution datasets for each survey area, and then merged into a single dataset for each State. These State datasets have also been merged into a 1 second resolution national dataset.

    The acquisition of the individual LiDAR surveys and derivation of the 5m product has been part of a long-term collaboration between Geoscience Australia, the Cooperative Research Centre for Spatial Information (CRCSI), the Departments of Climate Change and Environment, State and Territory jurisdictions, Local Government and the Murray Darling Basin Authority under the auspices of the National Elevation Data Framework and Coastal and Urban DEM Program, with additional data supplied by the Australian Department of Defence. The source datasets have been captured to standards that are generally consistent with the Australian ICSM LiDAR Acquisition Specifications with require a fundamental vertical accuracy of at least 0.30m (95% confidence) and horizontal accuracy of at least 0.80m (95% confidence).

  10. m

    Maryland LiDAR Baltimore County - DEM Feet

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated Jan 1, 2015
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    ArcGIS Online for Maryland (2015). Maryland LiDAR Baltimore County - DEM Feet [Dataset]. https://data.imap.maryland.gov/datasets/maryland::maryland-lidar-baltimore-county-dem-feet/about
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    Dataset updated
    Jan 1, 2015
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Aerial Cartographics of America (ACA) collected 750 square miles covering Baltimore County. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-conditioned DEMs for the project area. The data was formatted according to the Baltimore County tile naming convention.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Baltimore/MD_baltimore_dem_ft/ImageServer

  11. Taranaki LiDAR 1m DEM (2021)

    • data.linz.govt.nz
    • geodata.nz
    ascii grid, geotiff +2
    + more versions
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    Land Information New Zealand, Taranaki LiDAR 1m DEM (2021) [Dataset]. https://data.linz.govt.nz/layer/107436-taranaki-lidar-1m-dem-2021/
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    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 DEM for LiDAR data of the Taranaki Region, including New Plymouth, Stratford, and the surrounding area, captured between 3 April to 16 October 2021.

    LiDAR was captured for Taranaki Regional Council by AAM Ltd on 3 April to the 16 October 2021. The datasets were generated by AAM 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 8 pulses/square metre for urban areas and 4 pulses/square metre for the rest of the dataset.

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

    Vertical datum is NZVD2016.

  12. u

    LiDAR-Derived Bare Earth DEM (2022) - NH

    • granit.unh.edu
    • nhgeodata.unh.edu
    • +2more
    Updated Jul 20, 2022
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    New Hampshire GRANIT GIS Clearinghouse (2022). LiDAR-Derived Bare Earth DEM (2022) - NH [Dataset]. https://granit.unh.edu/datasets/NHGRANIT::lidar-derived-bare-earth-dem-2022-nh/about
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    Dataset updated
    Jul 20, 2022
    Dataset authored and provided by
    New Hampshire GRANIT GIS Clearinghouse
    Area covered
    Description

    This data set represents a 0.76-meter resolution LiDAR-derived bare earth Digital Elevation Model (DEM) layer for New Hampshire. It was generated from a statewide Esri Mosaic Dataset which comprised 7 separate LiDAR collections that covered the state as of, July 2022. The Mosaic Dataset was converted to this img raster data set.

  13. LIDAR Composite Digital Terrain Model (DTM) - 1m

    • environment.data.gov.uk
    Updated Dec 15, 2023
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    Environment Agency (2023). LIDAR Composite Digital Terrain Model (DTM) - 1m [Dataset]. https://environment.data.gov.uk/dataset/13787b9a-26a4-4775-8523-806d13af58fc
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    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Environment Agencyhttps://www.gov.uk/ea
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

    Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

    The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

    The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE.

  14. m

    Maryland LiDAR Montgomery County - DEM Meters

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated Jul 20, 2018
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    ArcGIS Online for Maryland (2018). Maryland LiDAR Montgomery County - DEM Meters [Dataset]. https://data.imap.maryland.gov/datasets/bd7ac606a4d3400db91c923801b8a1d7
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    Dataset updated
    Jul 20, 2018
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Montgomery and Prince George's counties 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 meter. 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 (HARN), State Plane, Feet and vertical datum of NAVD88 (GEOID12B), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,413 individual 4000 ft x 6000 ft tiles, as tiled Intensity Rasters, and as tiled bare-earth DEM; all tiled to the same 4000 ft x 6000 ft schema. Ground Conditions: Lidar was collected in early to mid 2018, while no snow was on the ground and rivers were at or below normal levels. Sensor errors in mulitple locations were identified in processing, additonal acquisition on 7/20/2018 was completed to remedy the errors. 2016 lidar data was used with approval in a single area of restricted airspace. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc. established a total of 23 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 79 independent accuracy check points in Open Terrain and Urban landcovers were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Montgomery/MD_montgomery_dem_m/ImageServer

  15. m

    Maryland LiDAR Baltimore City - DEM Feet

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +2more
    Updated Jan 1, 2015
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    ArcGIS Online for Maryland (2015). Maryland LiDAR Baltimore City - DEM Feet [Dataset]. https://data.imap.maryland.gov/datasets/maryland::maryland-lidar-baltimore-city-dem-feet/about
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    Dataset updated
    Jan 1, 2015
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    MD/PA Sandy Supplemental Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00397 Woolpert Order No. 74333 CONTRACTOR: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 1,845 square miles. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. Coastal tiles 18SVH065720 and 8SVH095690 contain no lidar points as they exist completely in water. A DEM IMG was generated for these two tiles as the digitized hydro breakline assumed the data extent in the area. As such only 2568 LAS and Intensity files will be delivered along with 2570 DEM IMG's.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/BaltimoreCity/MD_baltimorecity_dem_ft/ImageServer

  16. 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, Washington, Padilla Bay
    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.

  17. G

    Lidar Digital Elevation Model (DEM)

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html
    Updated Jan 9, 2025
    + more versions
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    Government of New Brunswick (2025). Lidar Digital Elevation Model (DEM) [Dataset]. https://ouvert.canada.ca/data/dataset/213fbdff-93dd-b7df-7bcd-8239fca8fce8
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    htmlAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of New Brunswick
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    LiDAR Derived Digital Elevation Models available at a 1m resolution in New Brunswick Stereographic Double Projection (NBSDP). LiDAR Derived Digital Elevation Models and Digital Surface Models available at 1m or 2m resolutions from NRCAN in Universal Transverse Mercator (UTM).

  18. n

    NEON (National Ecological Observatory Network) Elevation - LiDAR...

    • data.neonscience.org
    zip
    Updated Jun 15, 2023
    + more versions
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    (2023). NEON (National Ecological Observatory Network) Elevation - LiDAR (DP3.30024.001) [Dataset]. https://data.neonscience.org/data-products/DP3.30024.001
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    zipAvailable download formats
    Dataset updated
    Jun 15, 2023
    License

    https://www.neonscience.org/data-samples/data-policies-citationhttps://www.neonscience.org/data-samples/data-policies-citation

    Time period covered
    Jun 2013 - Jun 2025
    Area covered
    CPER, DSNY, SOAP, BLAN, GUIL, YELL, LENO, OSBS, SJER, SRER
    Description

    Bare earth elevation surface (DTM) and actual surface (DSM) given in meters in the NAVD88 (Geoid12A realization) vertical reference frame. Horizontal coordinates referenced to appropriate UTM zone. Bare earth is created by classifying and removing vegetation and man-made structures from lidar point cloud prior to surface generation. Both the DSM and DTM are mosaicked onto a spatially uniform grid at 1 m spatial resolution in 1 km by 1 km tiles provided in a geotiff format.

  19. 2007 Lidar DEM: Jasper, Colleton, Charleston Counties, SC

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 2007 Lidar DEM: Jasper, Colleton, Charleston Counties, SC [Dataset]. https://catalog.data.gov/dataset/2007-lidar-dem-jasper-colleton-charleston-counties-sc2
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Charleston County, South Carolina, Colleton County
    Description

    Digital Elevation Model (DEM) derived from lidar data. LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface, and was delivered in LAS format. Classified LAS data was also used as a base for collection of hydro features, delivered in MicroStation v8 format. The dates of collection are: 1. JASPER COUNTY (full county): 20061227 to 20070216 2. COLLETON COUNTY (full county: 20070216 to 20070323 3. CHARLESTON COUNTY (Partial County): 20070222 to 20070223

  20. 2018 USGS Lidar DEM: Florida Panhandle

    • fisheries.noaa.gov
    geotiff
    Updated Jul 1, 2018
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    OCM Partners (2018). 2018 USGS Lidar DEM: Florida Panhandle [Dataset]. https://www.fisheries.noaa.gov/inport/item/58332
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    geotiffAvailable download formats
    Dataset updated
    Jul 1, 2018
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Mar 31, 2018 - May 10, 2018
    Area covered
    Description

    Product: These are Digital Elevation Model (DEM) data for FL Panhandle as part of the required deliverables for the 2018 FL Panhandle Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. This delivery consists of 2859 tiles.

    Geographic Extent: Bay, Calhoun, Covington, Decatur, Dixie, Escambia, Franklin...

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OCM Partners (2024). 2023 USGS Lidar DEM: San Francisco, CA [Dataset]. https://www.fisheries.noaa.gov/inport/item/73506
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2023 USGS Lidar DEM: San Francisco, CA

ca2023_sanfran_m10174_metadata

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geotiff, not applicableAvailable download formats
Dataset updated
Jan 1, 2024
Dataset provided by
OCM Partners, LLC
Time period covered
Apr 20, 2023
Area covered
Description

Original Dataset Product: These are Digital Elevation Model (DEM) data for California as part of the required deliverables for the CA_SanFrancisco_B23, Work Unit 300449 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 0.25 meter hydro-flattened Raster DEM.

Original Dataset Geographic Extent: 4 counties (Alameda, Marin, San Francisco, San...

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