Ontario Digital Surface Model (Lidar-Derived)

The Ontario Digital Surface Model (Lidar-Derived) is a raster dataset that provides a representation of both surface and ground features derived from a classified lidar point cloud.

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 DSM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download.This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. See the detailed User Guide linked below for additional information.

You can monitor the availability and status of lidar projects on the Ontario Lidar Coverage map on the Ontario Elevation Mapping Program hub page.   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 connectionusing 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

Download links for the Ontario DSM (Lidar-Derived) (Word)

Projects:

  • LEAP 2009
  • GTA 2014-18
  • OMAFRA 2016-18
  • CLOCA 2018
  • South Nation CA 2018-19
  • Muskoka 2018-23
  • York-Lake Simcoe 2019
  • Ottawa River 2019-20
  • Ottawa-Gatineau 2019-20
  • Lake Nipissing 2020
  • Hamilton-Niagara 2021
  • Huron Shores 2021
  • Eastern Ontario 2021-22
  • OMAFRA Lake Huron 2022
  • OMAFRA Lake Simcoe 2022
  • Belleville 2022
  • Digital Elevation Data to Support Flood Mapping 2022-26
    • Huron-Georgian Bay 2022-23
    • Kawartha Lakes 2023
    • Sault Ste Marie 2023-24
    • Sudbury 2023-24
    • Thunder Bay 2023-24
    • Timmins 2024
    • Cataraqui 2024
    • Chapleau 2024
    • Dryden 2024
    • Ignace 2024
    • Northeastern Ontario 2024
    • Sioux Lookout 2024
    • Atikokan 2024
    • Manitoulin 2024
  • Greater Toronto Area Lidar 2023

Status
On going: Data is continually being updated 

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

Contact
Ontario 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 (Lidar-Derived)
Description
A description of the dataset.

The Ontario Digital Surface Model (Lidar-Derived) is a raster dataset that provides a representation of both surface and ground features derived from a classified lidar point cloud.

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 DSM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download.This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. See the detailed User Guide linked below for additional information.

You can monitor the availability and status of lidar projects on the Ontario Lidar Coverage map on the Ontario Elevation Mapping Program hub page.   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 connectionusing 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

Download links for the Ontario DSM (Lidar-Derived) (Word)

Projects:

  • LEAP 2009
  • GTA 2014-18
  • OMAFRA 2016-18
  • CLOCA 2018
  • South Nation CA 2018-19
  • Muskoka 2018-23
  • York-Lake Simcoe 2019
  • Ottawa River 2019-20
  • Ottawa-Gatineau 2019-20
  • Lake Nipissing 2020
  • Hamilton-Niagara 2021
  • Huron Shores 2021
  • Eastern Ontario 2021-22
  • OMAFRA Lake Huron 2022
  • OMAFRA Lake Simcoe 2022
  • Belleville 2022
  • Digital Elevation Data to Support Flood Mapping 2022-26
    • Huron-Georgian Bay 2022-23
    • Kawartha Lakes 2023
    • Sault Ste Marie 2023-24
    • Sudbury 2023-24
    • Thunder Bay 2023-24
    • Timmins 2024
    • Cataraqui 2024
    • Chapleau 2024
    • Dryden 2024
    • Ignace 2024
    • Northeastern Ontario 2024
    • Sioux Lookout 2024
    • Atikokan 2024
    • Manitoulin 2024
  • Greater Toronto Area Lidar 2023

Status
On going: Data is continually being updated 

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

Contact
Ontario 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.
3.38
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
9697ee73dc9346669308a657d7b0d025
Published Date
Published date of the dataset.
2020-07-23
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-lidar-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.
2026-03-23
Field Value
Identifier
Unique identifier for the dataset.
9697ee73dc9346669308a657d7b0d025
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-lidar-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.

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