Canopy of the six RMRs of Quebec 2022

The canopy is defined by the projection on the ground of the tops (crown) of trees (including leaves, branches, and trunks), which is visible from the sky. Any vegetation with a height greater than 2 m was taken into account. The mapping of the canopy was carried out using deep learning methods, based on variables (resolution of 1 m) calculated from raw airborne lidar data from 2010 to 2020. It covers the six census metropolitan areas (CMAs) of Quebec: Gatineau, Montreal, Quebec, Saguenay, Sherbrooke and Trois-Rivières. For more details on the creation of the map as well as the benefits, limitations, and potential uses, consult the * [Technote] (https://www.donneesquebec.ca/recherche/dataset/canopee-des-six-rmr-du-quebec/resource/3d6ed9d1-5760-43f8-95ed-b391b98a30bd) * (simplified version) and/or the * [methodological report] (https://www.donneesquebec.ca/recherche/dataset/canopee-des-six-rmr-du-quebec/resource/09155478-3b52-4865-bda4-3ad4189fe0a5) * (full version). The production of these data was coordinated by the National Institute of Public Health of Quebec (INSPQ) and carried out by the forest remote sensing laboratory of the Sainte-Foy Forestry Education and Research Center (CERFO). NOTE: The canopy height per pixel is available in the raster files that you can download (see the data download guide in the “Documentation” section).This third party metadata element was translated using an automated translation tool (Amazon Translate).

Data and Resources

Additional Info

Field Value
Last Updated January 16, 2026, 21:01 (UTC)
Created January 16, 2026, 21:01 (UTC)
contains_pii non
criticality_level Élevé
data_formats CSV; FGDB/GDB; HTML; PDF; SHP
fair_openness Level 2 - Machine-readable
geographic_scope Québec
sensitivity_level Faible
source_inventaire Inventaire_W
source_url https://open.canada.ca/data/en/dataset/b90d077d-5df7-47b1-90c7-00c323ac25a4
subject form_descriptors, nature_and_environment, science_and_technology
update_frequency not_planned
year_most_recent 2025-05-01 17:41:54.503000
year_start 2022-03-31 14:01:03.185000