Forest Resources Inventory leaf-on LiDAR
Forest Resources Inventory (FRI) Leaf-on LiDAR is remote sensing data for mapping vegetation aspects including cover, density, height as well as a representation of the earth's surface by measuring elevation and contours to support FRI development.
The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data.
Single photon light detection and ranging (SPL LiDAR) is an active remote sensing technology for:- mapping vegetation aspects including cover, density and height
- representing the earth's terrain and elevation contours
- information to support resource management planning and land use decisions within Ontario’s Managed Forest Zone
- information on tree species, density, heights, ages and distribution
- ground level terrain points
- heights of vegetation
- buildings
- digital terrain model
- canopy height model
- digital surface model
- intensity model (signal width to return ratio)
- forest inventory raster metrics
- forest inventory attributes
- predicted streams
- hydro break lines
- block control points
- forest inventory
- terrain
- hydrology
- infrastructure
- transportation
We made significant investments in Single Photon LiDAR data, now available on the Open Data Catalogue Derivatives are available for streaming or through download.
The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data. You can download:- classified point cloud data can also be downloaded via .laz format
- derivatives in a compressed .tiff format
- Forest Resource Inventory leaf-on LiDAR Tile Index (Download: Shapefile | File Geodatabase | GeoPackage )
- CHM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_CHM_SPL/ImageServer
- DSM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DSM_SPL/ImageServer
- DTM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DTM_SPL/ImageServer
- T1 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T1/ImageServer
- T2 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T2/ImageServer
- Land Cover - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Thematic/Ontario_Land_Cover_Compilation_v2/ImageServer
Datasets available for download
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FRI leaf-on LiDAR Tile Index Web ServiceURL
Additional resource from ArcGIS Hub
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FRI leaf-on Tile Index ShapefileURL
Additional resource from ArcGIS Hub
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FRI leaf-on LiDAR Tile Index - File GeodatabaseURL
Additional resource from ArcGIS Hub
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FRI leaf-on LiDAR Tile Index - GeoPackageURL
Additional resource from ArcGIS Hub
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FRI CHM Web Raster ServiceURL
Additional resource from ArcGIS Hub
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FRI DSM Web Raster ServiceURL
Additional resource from ArcGIS Hub
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FRI DTM Web Raster ServiceURL
Additional resource from ArcGIS Hub
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FRI T1 Imagery Web Raster ServiceURL
Additional resource from ArcGIS Hub
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FRI T2 Imagery Web Raster ServiceURL
Additional resource from ArcGIS Hub
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FRI Landcover Web Raster ServiceURL
Additional resource from ArcGIS Hub
Additional Info
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| Last Updated | March 24, 2026, 20:42 (UTC) |
| Created | March 24, 2026, 20:42 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Forest Resources Inventory leaf-on LiDAR |
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Description
A description of the dataset.
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Forest Resources Inventory (FRI) Leaf-on LiDAR is remote sensing data for mapping vegetation aspects including cover, density, height as well as a representation of the earth's surface by measuring elevation and contours to support FRI development. The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data. Single photon light detection and ranging (SPL LiDAR) is an active remote sensing technology for:
We made significant investments in Single Photon LiDAR data, now available on the Open Data Catalogue Derivatives are available for streaming or through download. The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data. You can download:
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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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4.32 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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bdba227fb9ef49d1aa787c2ea70aef61 |
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Published Date
Published date of the dataset.
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2023-01-18 |
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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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public |
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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://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::forest-resources-inventory-leaf-on-lidar |
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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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LandInformationOntario |
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Contact Point
Who to contact regarding access?
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Land Information Ontario |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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Land Information Ontario |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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LandInformationOntario |
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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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2026-03-18 |
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Identifier
Unique identifier for the dataset.
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bdba227fb9ef49d1aa787c2ea70aef61 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::forest-resources-inventory-leaf-on-lidar |
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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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Ontario Ministry of Natural Resources and Forestry |
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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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