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).

Data and Resources

Additional Info

Field Value
Last Updated April 17, 2026, 19:17 (UTC)
Created April 17, 2026, 19:17 (UTC)
contact_person {"en": "Government of Ontario; Government of Ontario; Natural Resources and Forestry", "fr": "Gouvernement de l'Ontario; Gouvernement de l'Ontario; Natural Resources and Forestry"}
criticality_level []
data_dictionary unknown,unknown,unknown
geographic_scope []
open_canada_collection fgp
open_canada_date_published 2020-10-20 00:00:00
open_canada_keywords {"en": ["Environment and Natural Resources", "Government information"], "fr-t-en": ["Environnement et richesses naturelles", "Information gouvernementale"]}
open_canada_subject ["economics_and_industry"]
sensitivity_level unrestricted
title_fr Nuage de points classifiés de l’Ontario (données dérivées de LiDAR)
update_frequency as_needed