Ontario Digital Surface Model (Imagery-Derived)

The Ontario Digital Surface Model (Imagery-Derived) is a raster elevation product that provides a representation of both surface and ground features based on a pixel-correlation process using aerial photography. 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. Note that the products from the SWOOP 2010 project are not currently packaged for download. To order data from this project see LIO Support – Large Data Ordering Instructions. Data sizes are listed below.

The Digital Surface Models (DSM) are raster elevation products that were generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of ground features captured by the sensor. This surface may also be referred to as the first reflective surface. The DSM may include treetops, rooftops, and tops of towers, telephone poles, and other natural or artificial features; or it may include the ground surface if there is no vegetative ground cover.

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 [email protected].
Service Endpoints Additional Documentation
Product Packages
  • SWOOP 2010 - Chatham-Kent - 3.63 GB
  • SWOOP 2010 - Elgin - 4.96 GB
  • SWOOP 2010 - Essex - 5.0 GB
  • SWOOP 2010 - Huron - 7.55 GB
  • SWOOP 2010 - Lambton - 8.92 GB
  • SWOOP 2010 - Middlesex
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, [email protected]

Datasets available for download

Additional Info

Field Value
Last Updated March 24, 2026, 20:42 (UTC)
Created March 24, 2026, 20:42 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Ontario Digital Surface Model (Imagery-Derived)
Description
A description of the dataset.

The Ontario Digital Surface Model (Imagery-Derived) is a raster elevation product that provides a representation of both surface and ground features based on a pixel-correlation process using aerial photography. 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. Note that the products from the SWOOP 2010 project are not currently packaged for download. To order data from this project see LIO Support – Large Data Ordering Instructions. Data sizes are listed below.

The Digital Surface Models (DSM) are raster elevation products that were generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of ground features captured by the sensor. This surface may also be referred to as the first reflective surface. The DSM may include treetops, rooftops, and tops of towers, telephone poles, and other natural or artificial features; or it may include the ground surface if there is no vegetative ground cover.

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 [email protected].
Service Endpoints Additional Documentation
Product Packages
  • SWOOP 2010 - Chatham-Kent - 3.63 GB
  • SWOOP 2010 - Elgin - 4.96 GB
  • SWOOP 2010 - Essex - 5.0 GB
  • SWOOP 2010 - Huron - 7.55 GB
  • SWOOP 2010 - Lambton - 8.92 GB
  • SWOOP 2010 - Middlesex
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, [email protected]
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
7.17
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
02e849bac00943d6a69c1488b9edb185
Published Date
Published date of the dataset.
2019-08-23
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
public
License
License used to access the dataset.
Open Government Licence – Ontario
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/mnrf::ontario-digital-surface-model-imagery-derived
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
OntarioProvincialMapping
Contact Point
Who to contact regarding access?
Ontario Ministry of Natural Resources and Forestry
Contact Point Email
The email to contact regarding access?
[email protected]
Publisher
Publisher of the dataset.
Ontario Ministry of Natural Resources and Forestry
Publisher Email
Email of the publisher.
Author
Author of the dataset.
OntarioProvincialMapping
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2026-02-06
Field Value
Identifier
Unique identifier for the dataset.
02e849bac00943d6a69c1488b9edb185
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/mnrf::ontario-digital-surface-model-imagery-derived
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Ontario Ministry of Natural Resources
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

0 Comments

Please login or register to comment.