Ontario Digital Elevation Model (Imagery-Derived)
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.
Datasets available for download
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Ontario Digital Elevation Model (Imagery-Derived)HTML
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Modèle altimétrique numérique de l’Ontario...HTML
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Original metadata (https://data.ontario.ca)HTML
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Original metadata (https://data.ontario.ca/fr)HTML
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SCOOP 2013 Vertical Accuracy Assessment...PDF
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Ontario DEM (Imagery-Derived) Tile Index...ZIP
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SCOOP 2013 Vertical Accuracy Assessment Data...ZIP
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SCOOP 2013 DEM Package A (extracted from geohub)ZIP
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SCOOP 2013 DEM Package B (extracted from geohub)ZIP
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SCOOP 2013 DEM Package C (extracted from geohub)ZIP
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SCOOP 2013 DEM Package D (extracted from geohub)ZIP
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SCOOP 2013 DEM Package E (extracted from geohub)ZIP
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SCOOP 2013 DEM Package F (extracted from geohub)ZIP
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SCOOP 2013 DEM Package G (extracted from geohub)ZIP
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SCOOP 2013 DEM Package H (extracted from geohub)ZIP
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DRAPE 2014 DEM Package A (extracted from geohub)ZIP
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DRAPE 2014 DEM Package B (extracted from geohub)ZIP
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DRAPE 2014 DEM Package C (extracted from geohub)ZIP
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DRAPE 2014 DEM Package D (extracted from geohub)ZIP
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DRAPE 2014 DEM Package E (extracted from geohub)ZIP
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DRAPE 2014 DEM Package F (extracted from geohub)ZIP
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DRAPE 2014 DEM Package G (extracted from geohub)ZIP
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DRAPE 2014 DEM Package H (extracted from geohub)ZIP
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DRAPE 2014 DEM Package I (extracted from geohub)ZIP
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Algonquin 2015 DEM Package (extracted from geohub)ZIP
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SWOOP 2015 DEM Package A (extracted from geohub)ZIP
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SWOOP 2015 DEM Package B (extracted from geohub)ZIP
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SWOOP 2015 DEM Package C (extracted from geohub)ZIP
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SWOOP 2015 DEM Package D (extracted from geohub)ZIP
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SWOOP 2015 DEM Package E (extracted from geohub)ZIP
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SWOOP 2015 DEM Package F (extracted from geohub)ZIP
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SWOOP 2015 DEM Package G (extracted from geohub)ZIP
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SWOOP 2015 DEM Package H (extracted from geohub)ZIP
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COOP 2016 DEM Package A (extracted from geohub)ZIP
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COOP 2016 DEM Package (extracted from geohub)ZIP
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COOP 2016 DEM Package C (extracted from geohub)ZIP
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COOP 2016 DEM Package D (extracted from geohub)ZIP
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COOP 2016 DEM Package E (extracted from geohub)ZIP
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COOP 2016 DEM Package F (extracted from geohub)ZIP
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COOP 2016 DEM Package G (extracted from geohub)ZIP
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COOP 2016 DEM Package H (extracted from geohub)ZIP
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COOP 2016 DEM Package I (extracted from geohub)ZIP
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NWOOP 2017 DEM Package A (extracted from geohub)ZIP
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NWOOP 2017 DEM Package B (extracted from geohub)ZIP
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NWOOP 2017 DEM Package C (extracted from geohub)ZIP
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NWOOP 2017 DEM Package D (extracted from geohub)ZIP
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NWOOP 2017 DEM Package E (extracted from geohub)ZIP
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NWOOP 2017 DEM Package F (extracted from geohub)ZIP
Additional Info
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| Last Updated | October 20, 2025, 02:28 (UTC) |
| Created | October 20, 2025, 02:28 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Economy |
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Title
Title for the Dataset.
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Ontario Digital Elevation Model (Imagery-Derived) |
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Description
A description of the dataset.
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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. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2020-10-20 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence – Ontario |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/90a9edf0-06db-4355-91ce-c0123c86f23b |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Government of Ontario | Gouvernement de l'Ontario |
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Contact Point
Who to contact regarding access?
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Government of Ontario; Government of Ontario; Natural Resources and Forestry, https://www.ontario.ca/feedback/contact-us?id=26930&nid=65620 |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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