Ontario Raw Point Cloud (Imagery-Derived)

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program.

If you are interested in obtaining a copy of this data see GEO Support – Large Data Ordering Instructions. Data can be requested by project or by package within each project. To determine which package contains your area of interest zoom in on the map above and click. You will need to provide a large enough hard drive for the data to be copied onto. Data sizes are listed below.

The Ontario Raw Point Cloud (Imagery-Derived) was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the Geospatial Ontario (GEO) imagery program. The dataset consists of overlapping tiles in LAZ format and is 8.29 terabytes in size. Tiles for some projects are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography.

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

For a product in non-overlapping tiles with a ground classification applied see the Ontario Classified Point Cloud (Imagery-Derived).

Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. See the Ontario Digital Elevation Model (Imagery-Derived) for a representation of bare earth and the Ontario Digital Surface Model (Imagery-Derived) for a model representing all surface features.

Additional Documentation

Data Package Sizes

  • SWOOP 2010 - Total - 519 GB
  • SWOOP 2010 - Chatham-Kent - 132 GB
  • SWOOP 2010 - Elgin - 130 GB
  • SWOOP 2010 - Oxford - 133 GB
  • SWOOP 2010 - Perth - 124 GB
  • SCOOP 2013 - Total - 1.56 TB
  • SCOOP 2013 - Package A - 275 GB
  • SCOOP 2013 - Package B - 238 GB
  • SCOOP 2013 - Package C - 278 GB
  • SCOOP 2013 - Package D - 350 GB
  • SCOOP 2013 - Package E - 420 GB
  • DRAPE 2014 - Total - 2.05 TB
  • DRAPE 2014 - Package A - 504 GB
  • DRAPE 2014 - Package B - 436 GB
  • DRAPE 2014 - Package C - 337 GB
  • DRAPE 2014 - Package D - 348 GB
  • DRAPE 2014 - Package E - 430 GB
  • SWOOP 2015 - Total - 2.52 TB
  • SWOOP 2015 - Package A - 235 GB
  • SWOOP 2015 - Package B - 394GB
  • SWOOP 2015 - Package C - 439GB
  • SWOOP 2015 - Package D - 363GB
  • SWOOP 2015 - Package E - 439GB
  • SWOOP 2015 - Package F - 351GB
  • SWOOP 2015 - Package G - 302GB
  • Algonquin 2015 - 235 GB
  • SCOOP 2018 - 410 GB
  • DRAPE 2019 - 328 GB
  • SWOOP 2020 - 329 GB
  • COOP 2021 - 451 GB
  • NWOOP 2022 Zone 15 - 118 GB
  • NWOOP 2022 Zone 16 - 271 GB

Status
Completed: production of the data has been completed

Maintenance and Update Frequency
Not planned: there are no plans to update the data

Contact
Ontario Ministry of Natural Resources - Geospatial Ontario, [email protected]

Datasets available for download

Additional Info

Field Value
Last Updated August 26, 2026, 09:01 (UTC)
Created March 24, 2026, 20:42 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Ontario Raw Point Cloud (Imagery-Derived)
Description
A description of the dataset.

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program.

If you are interested in obtaining a copy of this data see GEO Support – Large Data Ordering Instructions. Data can be requested by project or by package within each project. To determine which package contains your area of interest zoom in on the map above and click. You will need to provide a large enough hard drive for the data to be copied onto. Data sizes are listed below.

The Ontario Raw Point Cloud (Imagery-Derived) was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the Geospatial Ontario (GEO) imagery program. The dataset consists of overlapping tiles in LAZ format and is 8.29 terabytes in size. Tiles for some projects are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography.

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

For a product in non-overlapping tiles with a ground classification applied see the Ontario Classified Point Cloud (Imagery-Derived).

Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. See the Ontario Digital Elevation Model (Imagery-Derived) for a representation of bare earth and the Ontario Digital Surface Model (Imagery-Derived) for a model representing all surface features.

Additional Documentation

Data Package Sizes

  • SWOOP 2010 - Total - 519 GB
  • SWOOP 2010 - Chatham-Kent - 132 GB
  • SWOOP 2010 - Elgin - 130 GB
  • SWOOP 2010 - Oxford - 133 GB
  • SWOOP 2010 - Perth - 124 GB
  • SCOOP 2013 - Total - 1.56 TB
  • SCOOP 2013 - Package A - 275 GB
  • SCOOP 2013 - Package B - 238 GB
  • SCOOP 2013 - Package C - 278 GB
  • SCOOP 2013 - Package D - 350 GB
  • SCOOP 2013 - Package E - 420 GB
  • DRAPE 2014 - Total - 2.05 TB
  • DRAPE 2014 - Package A - 504 GB
  • DRAPE 2014 - Package B - 436 GB
  • DRAPE 2014 - Package C - 337 GB
  • DRAPE 2014 - Package D - 348 GB
  • DRAPE 2014 - Package E - 430 GB
  • SWOOP 2015 - Total - 2.52 TB
  • SWOOP 2015 - Package A - 235 GB
  • SWOOP 2015 - Package B - 394GB
  • SWOOP 2015 - Package C - 439GB
  • SWOOP 2015 - Package D - 363GB
  • SWOOP 2015 - Package E - 439GB
  • SWOOP 2015 - Package F - 351GB
  • SWOOP 2015 - Package G - 302GB
  • Algonquin 2015 - 235 GB
  • SCOOP 2018 - 410 GB
  • DRAPE 2019 - 328 GB
  • SWOOP 2020 - 329 GB
  • COOP 2021 - 451 GB
  • NWOOP 2022 Zone 15 - 118 GB
  • NWOOP 2022 Zone 16 - 271 GB

Status
Completed: production of the data has been completed

Maintenance and Update Frequency
Not planned: there are no plans to update the data

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.
3.42
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
08f1a39395e04803ace0225c1fc196a0
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-raw-point-cloud-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.
2026-08-14
Field Value
Identifier
Unique identifier for the dataset.
08f1a39395e04803ace0225c1fc196a0
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-raw-point-cloud-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.

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