Ontario Classified Point Cloud (Lidar-Derived)

The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data:

  • unclassified
  • ground
  • water
  • high noise
  • low noise

This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project.

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.

Related data:

Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the Ontario Digital Terrain Model (Lidar-Derived). For a model representing all surface features, see the Ontario Digital Surface Model (Lidar-Derived).

Ministry contact: Provincial Mapping Unit

Additional information

Tags
Geographic coverage
Ontario
Maintainer
Provincial Mapping Unit
Maintainer branch
Mapping and Information Resources Branch
Last Validated Date
June 7, 2021
Update frequency
As required

Ontario Classified Point Cloud (Lidar-Derived)

Learn more about accessing data using different formats.

Date range: January 1, 2009 - January 1, 2019

  • Other
    Ontario Classified Point Cloud (Lidar-Derived) English
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  • Other
    Nuage de points classifiés de l’Ontario (données dérivées de LiDAR) French
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