Agriculture and Agri-Food Canada

This data series was compiled by AAFC and Statistics Canada using a combination of agroclimate data and satellite-derived Normalized Difference Vegetation Index (NDVI) data for the current growing season. The forecast is made based on a statistical model using historical yield, climate and NDVI...

In 2012, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada (except Newfoundland), in support of a national crop...

Wildlife habitat capacity is the extent and quality of habitat that can support a diversity of species. When we convert wilderness to agricultural land we lose a great deal of wildlife habitat capacity. However, we can manage agricultural land to regain some of this capacity. Agricultural land...

The "Agri-Environmental Indicator Risk of Soil Salinization" dataset estimates the risk of accumulation of soluble salts on agricultural lands in the Canadian Prairies. At high levels, the accumulation of these salts in soil and groundwater in the landscape can inhibit the growth of many plant...

This dataset series highlights the locations of research centres where scientists, technicians and staff work to create better opportunities for farmers and all Canadians through agricultural research and innovation.

This dataset highlights the network of Research and Development farms associated with Agriculture and Agri-Food Canada that conduct research and collaborate with partners and stakeholders.

The Grain Elevators in Canada - 2023 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot...

This data series was compiled by AAFC and Statistics Canada using a combination of agroclimate data and satellite-derived Normalized Difference Vegetation Index (NDVI) data for the current growing season. The forecast is made based on a statistical model using historical yield, climate and NDVI...

This data represents the dryness of the land surface based on vegetation conditions. The data is created weekly and uses weekly information on precipitation anomalies (namely the Standardized Precipitation Index or SPI) and satellite vegetation condition derived from Normalized Difference...

The “Businesses by Census Subdivision” is derived from the Statistics Canada’s Business Register. At the request of Agriculture and Agri-Food Canada, Statistics Canada aggregated the number of businesses per NAICS classification and employment class for each Census Subdivision. The data includes...

The Community Pasture Program was a land-management service provided in the Prairie provinces. The program ended on March 31, 2019. The geographic data series that was associated with the program included information about program geography and facilities, including representations of fences and...

The Grain Elevators in Canada - 2018 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot...

One meter digital elevation model generated from bare earth LiDAR points. LiDAR Services International (LSI), a Calgary-based LiDAR company completed an airborne LiDAR survey for the Redberry Lake Biosphere Reserve (RLBR) and Agriculture and Agri-Foods Canada (AAFC) in October 2011. The project...

The Drought Impact Label dataset is used on all drought polygons from D1 to D4 to specify the longitude and magnitude of impacts. Impact labels are often used in association with the Drought Impact Line dataset. The impact labels are classified as follows: S – Short-Term, typically less than...

The "Effective Drainage Area of the AAFC Watersheds Project - 2013" dataset is a geospatial data layer containing polygon features representing the areas of the Agriculture and Agri-Food Canada's (AAFC) Watersheds Project that could, for the entire project areas, be expected to contribute to...

This data shows spatial density of winter wheat cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which winter wheat is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial...

One meter hillshade generated from bare earth DEM. LiDAR Services International (LSI), a Calgary-based LiDAR company completed an airborne LiDAR survey for the Redberry Lake Biosphere Reserve (RLBR) and Agriculture and Agri-Foods Canada (AAFC) in October 2011. The project involved collection of...

The probability of effective growing season degree days above 100 for warm season crops. This condition must be maintained for at least 5 consecutive days in order for EGDD to be accumulated (egdd_warm_100prob). Week 1 and week 2 forecasted probability is available daily from April 1 to October...

The “Hydrometric Gauging Station Network of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing network line features representing links between hydrometric gauging stations of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. Each line connects a...

LiDAR data was collected using LSI's proprietary Helix LiDAR system - Novatel GPS and SPANS inertial unit, coupled to a Riegl Q560 digital waveform ranging laser and mounted in a Cessna 185 aircraft. LiDAR was collected at 600m AGL, and a ground speed of 160km/h. Original data was in an ASCII XYZ...