The Integrated Resource Plan - Subregional dataset is comprised of all the polygons that represent the Sub-Regional Integrated Resource Plans (IRP) in Alberta. All the Sub-Regional IRPs were completed under the Integrated Resource Planning Program, from 1976 to approximately 1995. These plans were endorsed by the Government of Alberta with most being approved by Cabinet. The Sub-Regional Plans describe land-use zonation and objectives within individual defined planning areas, to ensure overall consistency with Regional goals and objectives. An Integrated Resource Plan (IRP) is a plan which identifies the values and associated land and resource management goals for the planning area in consideration of the maintenance of social, economic, and ecological values. An IRP provides direction regarding the type of land and resource management activity that would facilitate meeting the stated objectives in the planning area (for example: recreation, grazing, industrial and commercial activities). The public was often involved in contributing input to the development of an IRP. Majority of IRP plans were endorsed by the Government of Alberta in various periods.

The North America Surface Water Values point dataset contains the current water level and stream flow values as recorded by Canadian and USA hydrometric gauging station locations. Daily values are recorded as well as comparisons with historical measurements, including difference in values from the previous day, the mean level for that calendar date, the annual mean water level, and maximum and minumum recorded levels. Percentile values based on historical average for both water level and stream flow are also included. Real-time gauging station data for Canada is available here: https://wateroffice.ec.gc.ca/search/statistics_e.html Real-time gauging station data for the United States is available here: https://waterservices.usgs.gov/rest/Statistics-Service.html

This Web Map Service depicts the location of clean electricity generating facilities by type of clean energy source and power generation capacity. Clean energy sources shown on the map include biomass, hydro, nuclear, solar, tidal and wind. The data comes from the provinces and territories, other federal departments and clean energy associations in Canada. The service is one of many themes mapped in the web mapping application Map of Clean Energy Resources and Projects (CERP) in Canada.

Temporal analysis of changes in Winnipeg, Manitoba, based on GeoAI features automatically extracted from satellite images acquired in 2013 and 2023. Simple geospatial analysis enables the detection of features present in 2023 that were not already there in 2013. The addition of new buildings is a good indicator of urban development and/or sprawl. Complementarily, an analysis of changes in the forest coverage from the GeoAI datasets is done. 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

Tile layer of short-term tenure, managed forest code 12 used in the Story Map of Forest Management in Canada, 2017. Tile layer of short-term tenure, managed forest code 12 used in the Story Map of Forest Management in Canada, 2017. Short-Term Tenure areas are lands having shorter-term volume- or area-based tenure. Tenure arrangements can be overlapping. Lands with both long- and short-term tenures are classified as Long-Term Tenure (Code 11). 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.

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.