Canada imagery and land cover data

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 1.7 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 3.4 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.9 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.3 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 2.9 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-04 to 2025-10-04, 2.8 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2025-10-04 to 2025-10-04, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by robert howe , acquired 2025-10-04 to 2025-10-04, 2.5 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2025-10-05 to 2025-10-05, 3.4 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-07 to 2025-10-07, 2.3 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-08 to 2025-10-08, 2.1 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-09 to 2025-10-10, 2.5 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-10 to 2025-10-11, 2.7 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-10 to 2025-10-11, 2.2 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-11 to 2025-10-11, 2.5 cm per pixel, published on OpenAerialMap.

uav imagery by robert, acquired 2025-10-11 to 2025-10-11, 1.7 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2025-10-15 to 2025-10-15, 3.5 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-15 to 2025-10-16, 2.1 cm per pixel, published on OpenAerialMap.

uav imagery by Ben Scholer, acquired 2025-10-18 to 2025-10-18, 4.7 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-18 to 2025-10-19, 2.3 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-19 to 2025-10-19, 14.1 cm per pixel, published on OpenAerialMap.

uav imagery by David Lahr, acquired 2025-11-08 to 2025-11-08, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-11-22 to 2025-11-23, 2.5 cm per pixel, published on OpenAerialMap.

uav imagery by Bard College, acquired 2025-12-13 to 2025-12-13, 2.3 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-04 to 2025-10-05, 2.1 cm per pixel, published on OpenAerialMap.

satellite imagery by ASBURY, acquired 2026-06-02 to 2026-06-02, 19.8 cm per pixel, published on OpenAerialMap.

Overview This 30-meter dataset reflects land cover information for 2010 from Mexico and Canada, and 2011 for Alaska and the conterminous United States. Each country developed its own classification method to identify land cover classes and provided an input layer to produce a continental land cover map across North America. The main inputs for image classification were 30-meter Landsat data; image selection varied by country according to site-specific requirements. Canada selected most images from 2010, with a few from 2009 and 2011; the United States primarily used 2011 imagery; and Mexico used all available images from 2010. National maps were generated for Canada by the Canada Centre for Remote Sensing (CCRS); for Mexico by the National Commission for the Knowledge and Use of Biodiversity (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), and National Forestry Commission of Mexico (Comisión Nacional Forestal); and for the United States by the United States Geological Survey. Each country used its own approach, ancillary data, and mapping methodology, and the national datasets were then combined by the Commission for Environmental Cooperation (CEC) into a seamless North American product, merging four map sections: Alaska, Canada, the conterminous United States, and Mexico. The current version (version 3) includes updated data over Canada, provided by the CCRS and the Canada Centre for Mapping and Earth Observation (CCMEO) in February 2024, along with updated 2011 land cover datasets for Alaska and the conterminous United States, provided by the USGS in February 2024. The main change in Alaska relates to the inclusion of an improved road network. No updates were performed over Mexico for this version. Land Cover Classes The raster attribute table provides 19 thematic land cover classes plus a background value, with class names in English, Spanish, and French: 1: Temperate or sub-polar needleleaf forest 2: Sub-polar taiga needleleaf forest 3: Tropical or sub-tropical broadleaf evergreen forest 4: Tropical or sub-tropical broadleaf deciduous forest 5: Temperate or sub-polar broadleaf deciduous forest 6: Mixed forest 7: Tropical or sub-tropical shrubland 8: Temperate or sub-polar shrubland 9: Tropical or sub-tropical grassland 10: Temperate or sub-polar grassland 11: Sub-polar or polar shrubland-lichen-moss 12: Sub-polar or polar grassland-lichen-moss 13: Sub-polar or polar barren-lichen-moss 14: Wetland 15: Cropland 16: Barren lands 17: Urban and built-up 18: Water 19: Snow and ice Geographic Coverage The service covers Canada, the United States, and Mexico, including Alaska. Data Sources and Licensing This dataset is produced by the Commission for Environmental Cooperation (CEC), derived from national land cover maps provided by Natural Resources Canada, the National Commission for the Knowledge and Use of Biodiversity, the National Institute of Statistics and Geography, the National Forestry Commission; and the United States Geological Survey. The compiled dataset is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing redistribution and adaptation with appropriate attribution. Update frequency: Irregular Limitations of use: Intended for continental-scale reference. Vintage: 2010 Applications (Intended Use) Land cover review and continental- to national-scale mapping. Environmental monitoring and change detection over time. Spatial analysis and integration with other thematic layers in the North American Environmental Atlas. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download

uav imagery by Damien Butler, acquired 2026-03-19 to 2026-03-19, 0.8 cm per pixel, published on OpenAerialMap.

aircraft imagery by River Valley Aerials, acquired 2025-07-27 to 2025-07-27, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM-LowestPotential, acquired 2025-05-12 to 2025-05-12, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Parks Canada, acquired 2025-05-15 to 2025-05-15, 4.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-05-26 to 2025-05-26, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by veritas terrae, acquired 2026-05-02 to 2026-05-03, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Veteran Droners, acquired 2026-02-17 to 2026-02-18, 7.2 cm per pixel, published on OpenAerialMap.