5 datasets found
  1. d

    Copernicus GLO-90 Digital Elevation Model

    • search.dataone.org
    • dataone.org
    Updated Oct 19, 2023
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    OpenTopography (2023). Copernicus GLO-90 Digital Elevation Model [Dataset]. https://search.dataone.org/view/sha256%3A337c17dd0978eb485dc5ec544e8eddc51990969710e6b272001dce055aeb3476
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    Dataset updated
    Oct 19, 2023
    Dataset provided by
    OpenTopography
    Time period covered
    Jan 1, 2011 - Jul 1, 2015
    Area covered
    Description

    The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. This DSM is derived from an edited DSM named WorldDEM, where flattening of water bodies and consistent flow of rivers has been included. In addition, editing of shore- and coastlines, special features such as airports, and implausible terrain structures has also been applied.

    The WorldDEM product is based on the radar satellite data acquired during the TanDEM-X Mission, which is funded by a Public Private Partnership between the German State, represented by the German Aerospace Centre (DLR) and Airbus Defence and Space. OpenTopography is providing access to the global 90m (GLO-90) DSM through the public AWS S3 bucket established by Sinergise.


    Note:
    • In the original datasets (available via OpenTopography bulk download or the Sinergise aws bucket), the longitudinal spacing of cells increases as a function of latitude for latitudes north of 50N and south of 50S. See the original documentation for details. However, in order to keep the pixel dimensions uniform, OpenTopography resamples data north of 50 degrees latitude and south of -50 degrees latitude in order to output a consistent 30m or 90m product for data accessed through the web-interface or API.
    • GLO-90 is available on a free basis for the general public under the terms and conditions of the License found here

  2. E

    LiDAR based Digital Surface Model (DSM) data for South West England

    • catalogue.ceh.ac.uk
    • cloud.csiss.gmu.edu
    • +4more
    text/directory
    Updated Apr 29, 2014
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    F. Ferraccioli; F. Gerard; C. Robinson; T. Jordan; M. Biszczuk; L. Ireland; M. Beasley; A. Vidamour; A. Barker; R. Arnold; M. Dinn; A. Fox; A. Howard (2014). LiDAR based Digital Surface Model (DSM) data for South West England [Dataset]. http://doi.org/10.5285/b81071f2-85b3-4e31-8506-cabe899f989a
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    text/directoryAvailable download formats
    Dataset updated
    Apr 29, 2014
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    F. Ferraccioli; F. Gerard; C. Robinson; T. Jordan; M. Biszczuk; L. Ireland; M. Beasley; A. Vidamour; A. Barker; R. Arnold; M. Dinn; A. Fox; A. Howard
    License

    https://eidc.ceh.ac.uk/licences/OGLtellus/plainhttps://eidc.ceh.ac.uk/licences/OGLtellus/plain

    Time period covered
    Jul 1, 2013 - Aug 31, 2013
    Area covered
    Description

    This is a high resolution spatial dataset of Digital Surface Model (DSM) data in South West England. It is a part of outcomes from the CEH South West (SW) Project. There is also a Digital Terrain Model (DTM) dataset covering the same areas available from the SW project. Both DTM and DSM cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). An overview of the TELLUS project is available on the web at http://www.tellusgb.ac.uk/.

  3. 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.

  4. a

    Ontario Digital Elevation Model (Imagery-Derived)

    • hub.arcgis.com
    • geohub.lio.gov.on.ca
    Updated Aug 29, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Digital Elevation Model (Imagery-Derived) [Dataset]. https://hub.arcgis.com/maps/1ce266ee55c44ffca2d457bc5db13b92
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    Dataset updated
    Aug 29, 2019
    Dataset authored and provided by
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. The Digital Elevation Models (DEM) are 2-m resolution raster elevation products that were generated from the Ontario Classified Point Cloud (Imagery-Derived) data. The point clouds were created via a pixel-autocorrelation process from the stereo aerial photography of the Land Information Ontario (LIO) imagery program. It is important to note that the DEM does not represent a full ‘bare-earth’ elevation surface. There are areas where there are very few points classified as Ground and interpolation has occurred across the resulting voids. Points classified as Ground have not been assessed for accuracy to determine if they represent true ground features. Some features are still raised above ground surface, such as larger buildings, larger forest stands and other raised features.

    For more detailed information about this dataset, refer to the associated User Guide.

    Now also available through a web service which exposes the data for visualization, geoprocessing and limited download.

    The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.

    For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

    Service Endpoints https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DEM_ImageryDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DEM_ImageryDerived/ImageServer (Government of Ontario Internal Users)

    Additional Documentation

    Ontario DEM (Imagery-Derived) - User Guide (DOCX)Ontario DEM (Imagery-Derived) - Tile Index (SHP)SCOOP 2013 - Vertical Accuracy Assessment (Word) SCOOP 2013 - Vertical Accuracy Assessment - Data (SHP)

    Product Packages

    SCOOP 2013 DEM Package A (IMG) SCOOP 2013 DEM Package B (IMG) SCOOP 2013 DEM Package C (IMG) SCOOP 2013 DEM Package D (IMG) SCOOP 2013 DEM Package E (IMG) SCOOP 2013 DEM Package F (IMG) SCOOP 2013 DEM Package G (IMG) SCOOP 2013 DEM Package H (IMG)

    DRAPE 2014 DEM Package A (IMG) DRAPE 2014 DEM Package B (IMG) DRAPE 2014 DEM Package C (IMG) DRAPE 2014 DEM Package D (IMG) DRAPE 2014 DEM Package E (IMG) DRAPE 2014 DEM Package F (IMG) DRAPE 2014 DEM Package G (IMG) DRAPE 2014 DEM Package H (IMG) DRAPE 2014 DEM Package I (IMG)

    Algonquin 2015 DEM Package (IMG)

    SWOOP 2015 DEM Package A (IMG) SWOOP 2015 DEM Package B (IMG) SWOOP 2015 DEM Package C (IMG) SWOOP 2015 DEM Package D (IMG) SWOOP 2015 DEM Package E (IMG) SWOOP 2015 DEM Package F (IMG) SWOOP 2015 DEM Package G (IMG) SWOOP 2015 DEM Package H (IMG)

    COOP 2016 DEM Package A (IMG) COOP 2016 DEM Package B (IMG) COOP 2016 DEM Package C (IMG) COOP 2016 DEM Package D (IMG) COOP 2016 DEM Package E (IMG) COOP 2016 DEM Package F (IMG) COOP 2016 DEM Package G (IMG) COOP 2016 DEM Package H (IMG) COOP 2016 DEM Package I (IMG)

    NWOOP 2017 DEM Package A (IMG) NWOOP 2017 DEM Package B (IMG) NWOOP 2017 DEM Package C (IMG) NWOOP 2017 DEM Package D (IMG) NWOOP 2017 DEM Package E (IMG) NWOOP 2017 DEM Package F (IMG)

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  5. E

    Woody habitat corridor data in South West England

    • catalogue.ceh.ac.uk
    • cloud.csiss.gmu.edu
    • +2more
    zip
    Updated Mar 21, 2017
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    R.K. Broughton; F. Gerard; R. Haslam; A.S. Howard (2017). Woody habitat corridor data in South West England [Dataset]. http://doi.org/10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f
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    zipAvailable download formats
    Dataset updated
    Mar 21, 2017
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    R.K. Broughton; F. Gerard; R. Haslam; A.S. Howard
    Time period covered
    Jul 1, 2013 - Aug 31, 2013
    Area covered
    Description

    This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels). The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.

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OpenTopography (2023). Copernicus GLO-90 Digital Elevation Model [Dataset]. https://search.dataone.org/view/sha256%3A337c17dd0978eb485dc5ec544e8eddc51990969710e6b272001dce055aeb3476

Copernicus GLO-90 Digital Elevation Model

Explore at:
15 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 19, 2023
Dataset provided by
OpenTopography
Time period covered
Jan 1, 2011 - Jul 1, 2015
Area covered
Description

The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. This DSM is derived from an edited DSM named WorldDEM, where flattening of water bodies and consistent flow of rivers has been included. In addition, editing of shore- and coastlines, special features such as airports, and implausible terrain structures has also been applied.

The WorldDEM product is based on the radar satellite data acquired during the TanDEM-X Mission, which is funded by a Public Private Partnership between the German State, represented by the German Aerospace Centre (DLR) and Airbus Defence and Space. OpenTopography is providing access to the global 90m (GLO-90) DSM through the public AWS S3 bucket established by Sinergise.


Note:
  • In the original datasets (available via OpenTopography bulk download or the Sinergise aws bucket), the longitudinal spacing of cells increases as a function of latitude for latitudes north of 50N and south of 50S. See the original documentation for details. However, in order to keep the pixel dimensions uniform, OpenTopography resamples data north of 50 degrees latitude and south of -50 degrees latitude in order to output a consistent 30m or 90m product for data accessed through the web-interface or API.
  • GLO-90 is available on a free basis for the general public under the terms and conditions of the License found here

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