Tile layer of private, managed forest code 50 used in the Story Map of Forest Management in Canada, 2017. Tile layer of private, managed forest code 50 used in the Story Map of Forest Management in Canada, 2017. Private lands were identified using provincial and territorial land ownership datasets. Detailed ownership datasets were not available in all jurisdictions, so proxies were used where necessary. In Saskatchewan, lands south of the province's Commercial Forest Zone were classified as Private. This includes some Crown lands, but these are generally small and not included in forest management plans or leased for commercial forestry purposes. Data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

This dataset represents points where address site data has been collected. These points are an amalgamation of different origin point data translated into a NG911-compliant schema using ESRI's Address Management Solution as a reference for compliance and data integrity.*This dataset requires extensive QA/QC and should not be used as an authoritative, source only for application-testing purposes*

Canadas Managed Forests 2017 Albers Equal Area Canada's Managed Forests 2017 Albers Equal Area

Temporal analysis of changes for Victoria, British Columbia, based on GeoAI features automatically extracted from satellite images acquired in the 2000s, 2010s and 2020s. Simple geospatial analysis intersecting Statistics Canada's Open Database of Buildings, version 3 (ODB v3) with GeoAI multidate building features enables the detection of buildings observed in the 2000s, 2010s and 2020s. The addition of new buildings is a good indicator of urban development and/or sprawl. Using the same approach, GeoAI multidate roads enable the detection of Statistics Canada's National Roads Network (NRN) segments present in the 2000s, 2010s and 2020s. The development of new roads is also indicator of urban development and/or sprawl. Complementarily, an analysis of changes in the forest coverage from the GeoAI datasets is done between the 2000s and the 2020s. This analysis reflects the gains and losses between both dates. ‌ GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage. For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

Temporal analysis of changes in the Iqaluit region, Nunavut, based on GeoAI features automatically extracted from satellite images acquired in 2012 and 2022. Simple geospatial analysis intersecting GeoAI multidate building features enables the detection of buildings observed in 2022 that were not detected in 2012. The addition of new buildings is a good indicator of urban development and/or sprawl. GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage. For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map. Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map.  The forest boundaries included represent forest sections, forest management units, provincial forests and forest management license areas.

NWT Relief Basemap

Localization and contact information of DFO offices. Find, search and locate DFO offices within Canada.