The Fieldnotes dataset represents the anticipated locations of DFO Science field operations for 2020-2021 in the North Pacific and Arctic oceans, as well as in the coastal and interior waters of British Columbia and the Yukon.

Provinces and Territories of Canada, April 2022Forest Management in Canada Web App: 2017 and 2020 (French)

Statistics on changes in forest management in Canada in 2017 and 2020.This page provides statistics on forest management in Canada in 2017 and 2020 and is part of the Story Map of Forest Management in Canada, 2020.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Land cover information is essential for a wide range of environmental applications, including climate impact assessment and adaptation, emergency response, and wildlife habitat monitoring. In Canada, a 2008 user survey identified that the most practical format for land cover data is a nationwide map with a 30 m spatial resolution, updated every five years. To meet this need, the Canada Centre for Remote Sensing (CCRS) has been producing 30 m resolution land cover maps since 2010, with updates released in 2015 and 2020. These datasets also serve as Canada’s contribution to the 30 m Land Cover Map of North America, developed collaboratively by government agencies in Mexico, the United States, and Canada through the North American Land Change Monitoring System (NALCMS). The classification system used in these maps is designed for consistency across North America. It follows a two-level hierarchy based on the Food and Agriculture Organization (FAO) Land Cover Classification System (LCCS), consisting of 12 classes at Level I and 19 classes at Level II. Of the 19 Level II classes, 15 are applicable to Canada and are included in the national land cover dataset. Tropical vegetation classes (specifically classes 3, 4, 7, and 9) are either absent or occur only minimally in Canada and are therefore excluded from the national dataset. Canada’s land cover maps are generated using observations from the Operational Land Imager (OLI) Landsat sensor. An accuracy assessment based on 832 randomly distributed samples indicates that the latest dataset achieves 86.9% overall accuracy, with no marked spatial inconsistencies.- [Land Cover of Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/11990a35-912e-4002-b197-d57dd88836d7)- [NALCMS — The North American Land Change Monitoring System](https://www.cec.org/publications/nalcms/)

Forest Management in Canada web application comparing maps from 2017 and 2020.Forest Management in Canada web application comparing maps from 2017 and 2020. This web application references the Forest Management in Canada Web Map: 2017 and 2020 and is used in the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020).

The data shared are spatially explicit projections of wildfire burn probability across Canada’s forested ecozones under multiple future climate scenarios at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Four future climate scenarios were used to examine the spatiotemporal distribution of burn probability in the 21st century based on climate, vegetation, and topographic conditions ( Mulverhill et al. 2024). Projected burn probability is provided for four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) and four future time periods, including 2021-2040, 2041-2060, 2061-2080, and 2081-2100, along with a baseline period representing average climate conditions and burn probability between 1991 and 2020. Outputs represent the probability that the conditions (climate, vegetation, topography) of a given pixel resemble those of historically burned areas. All non-climate variables were held static; therefore, projections represent burn probability under future climate scenarios given contemporary (2020) forest conditions. When using this dataset, please cite Mulverhill et al. (2025), as below.Mulverhill, C., Coops, N. C., Wulder, M. A., Hermosilla, T., White, J. C., & Bater, C. W. (2025). Projected Future Changes in Burn Probability in Canada’s Forests and Communities Under Different Climate Change Scenarios. Canadian Journal of Remote Sensing, 51(1). https://doi.org/10.1080/07038992.2025.2560347(Mulverhill et al. 2025).For a detailed description of the source data and methods applied to the baseline period to enable the Mulverhill et al. (2025) projections, see:Mulverhill, C., Coops, N.C., Wulder, M.A., White, J.C., Hermosilla, T., and Bater, C.W. 2024. “Multidecadal mapping of status and trends in annual burn probability over Canada’s forested ecosystems.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 209 pp. 279–295. https://doi.org/10.1016/j.isprsjprs.2024.02.006(Mulverhill et al. 2024).

Forest Management Change in Canada 2017 and 2020 statistics.This Insights page provides Forest Management statistics in Canada in 2017 and 2020 and is part of the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020).

Insights workbook of Forest Management Change in Canada, 2017 and 2020Insights workbook of Forest Management Change in Canada, 2017 and 2020. This data is part of the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020).

Other map (managed forest code 13) used in the Forest Management in Canada, 2020 story map.Other map (managed forest code 13). The Other map is used in the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020) and includes the following tiled layer:Tile Layer of Other Managed Forest Code 13: 2020

Private map (managed forest code 50) used in the Forest Management in Canada, 2020 story map.Private map (managed forest code 50) with areas identified using provincial and territorial datasets. The Private map is used in the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020) and includes the following tiled layer:Tile Layer of Private Managed Forest Code 50: 2020