2 datasets found
  1. a

    Ontario Digital Elevation Model (Imagery-Derived)

    • catalogue.arctic-sdi.org
    • open.canada.ca
    • +1more
    Updated May 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Ontario Digital Elevation Model (Imagery-Derived) [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/90a9edf0-06db-4355-91ce-c0123c86f23b
    Explore at:
    Dataset updated
    May 28, 2022
    Description

    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 Geospatial Ontario (GEO) imagery program. 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. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

  2. g

    Ontario Digital Elevation Model (Imagery-Derived) | gimi9.com

    • gimi9.com
    Updated Sep 19, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2019). Ontario Digital Elevation Model (Imagery-Derived) | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_90a9edf0-06db-4355-91ce-c0123c86f23b/
    Explore at:
    Dataset updated
    Sep 19, 2019
    Area covered
    Ontario
    Description

    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 Geospatial Ontario (GEO) imagery program. 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. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2022). Ontario Digital Elevation Model (Imagery-Derived) [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/90a9edf0-06db-4355-91ce-c0123c86f23b

Ontario Digital Elevation Model (Imagery-Derived)

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 28, 2022
Description

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 Geospatial Ontario (GEO) imagery program. 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. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

Search
Clear search
Close search
Google apps
Main menu