These agricultural capability / Limitation maps can be used at the regional level for making decisions on land improvement and farm consolidation, for developing landuse plans, and for preparing equitable land assessments. For more information, visit: http://open.canada.ca/data/en/dataset/0c113e2c-e20e-4b64-be6f-496b1be834ee

The “Oilseeds Science Sector by CCS” data was derived from the 2011 Census of Agriculture using published documentation describing the Science Sector. It was created for facilitating the geographic description, analysis, and reporting of the sector. The selection of 2011 Census of Agriculture variables was derived from the “AAFC Science and Technology Branch Science Strategy for the AgriFood Sector “Oilseed sector”” ;“At present, the strategy covers the following crop types: canola and rapeseed, mustard, soybeans (oilseed and food-grade), flax, sunflower, hemp, safflower” NOTE: The identified “hemp” and “safflower” making up part of the this sector are not included in this dataset because the data, although collected in the 2011 Census of Agriculture, was published as “Other crops” along with a number of other crops not included in this scope of this sector. For more information, visit: www.agr.gc.ca/atlas/metadata/1f4dcc5c-23d8-4b08-a98e-64c1c93f083c

The "South Tobacco Creek Watershed - 10 cm Contours" dataset is a linear representation of the LiDAR DEM data set to the closest 0.1 meters. For more information, visit: http://open.canada.ca/data/en/dataset/734078a9-9aa1-44a1-9e74-dc9387a9ecfe

The Agriculture and Agri-Food Canada's (AAFC) Watersheds Project level series supplies a number of watershed and watershed related datasets for the Prairie Provinces. The levels are greater or smaller assemblages of hydrometric areas, or the components defining them. The Project is organized by the hydrometric gauging station which are sourced from Environment Canada, the United States and Canadian provinces. Additional stations were generated to address structural issues, like river confluences or lake inlets. Collectively, they are referred to as the gauging stations, or simply, the stations. The drainage area that each station monitors, between itself and one or more of its upstream neighbours, is called an 'incremental gross drainage area'. The incremental gross drainage areas are collected into larger or smaller groupings based on size or defined interest to generate the various 'levels'of the series. For more information, visit: http://open.canada.ca/data/en/dataset/c20d97e7-60d8-4df8-8611-4d499a796493

The "Soils of Canada, Derived" national scale thematic datasets display the distribution and areal extent of soil attributes such as drainage, texture of parent material, kind of material, and classification of soils in terms of provincial Detailed Soil Surveys (DDS) polygons, Soil Landscape Polygons (SLCs), Soil Order and Great Group. The relief and associated slopes of the Canadian landscape are depicted on the local surface form thematic dataset. The purpose of the "Soils of Canada, Derived" series is to facilitate the cartographic display and basic queries of the Soil Landscapes of Canada at a national scale. For more detailed or sophisticated analysis, users should investigate the full "Soil Landscapes of Canada" product. For more information, visit: http://open.canada.ca/data/en/dataset/8f496e3f-1e54-4dbb-a501-a91eccf616b8

This dataset is aligned to a grid that with a dataset of soil attributes following GlobalSoilMap standards and specifications at specified depth increments extending over the agricultural portion of Canada. The SLC map polygons were rasterized and combined with the Shuttle Radar Topography Mission (SRTM) 90 metre grid to create the gridded raster dataset. Weighted averages of soil attribute properties are generated from existing soil horizon information to conform to recognized fixed depth increments. Soil attribute weighted means are calculated by using all the soil components based on their areal extent in each SLC polygon. The polygonal attribute weighted mean averages are spatially represented by the grid. For more information, visit: http://open.canada.ca/data/en/dataset/cb29b370-3639-4645-9ef9-b1ef131837b7

The 'Circa 1995 Landcover of the Prairies' dataset is a geospatial raster data layer portraying the rudimentary land cover types of all grain-growing areas of Manitoba, Saskatchewan, Alberta and northeastern British Columbia at a 30-metre resolution for the 1995 timeframe. It is the collection of all the classified imagery (1993 to 1995) of the Western Grain Transition Payment Program (WGTPP) assembled into a single seamless raster data layer. For more information, visit: http://open.canada.ca/data/en/dataset/e9dee957-e04d-46fb-b7e4-701739736173

Topographic data for lakes within the Qu'Appelle River Valley in central Saskatchewan. This data was collected in the fall of 2008 and consists of contour lines, shorelines, spot heights, and tile index. For more information, visit: http://open.canada.ca/data/en/dataset/d838afd0-8918-42e1-acdd-8c69f9b5a7e1

The 'Circa 1995 Landcover of the Prairies' dataset is a geospatial raster data layer portraying the rudimentary land cover types of all grain-growing areas of Manitoba, Saskatchewan, Alberta and northeastern British Columbia at a 30-metre resolution for the 1995 timeframe. It is the collection of all the classified imagery (1993 to 1995) of the Western Grain Transition Payment Program (WGTPP) assembled into a single seamless raster data layer. For more information, visit: http://open.canada.ca/data/en/dataset/e9dee957-e04d-46fb-b7e4-701739736173

The Canadian Drought Monitor (CDM) brings together Agriculture and Agri-Food Canada's drought monitoring capabilities and collaboration with external agencies (federal and provincial) to produce, through analysis and consolidation of multiple indices and indicators, an easily understood comprehensive national drought severity map and report each month. The monitor provides specific details on agricultural impacts of the current drought situation, including statistics on land area, cattle, and the number of producers impacted. The Canadian Drought Monitors are based on a five class system ranking the severity of the drought condition. The Monitor map identifies general drought areas, labelling droughts by intensity, with D1 being the least intense and D4 being the most intense. The classifications are as follows: D0 (Abnormally Dry) - represents an event that occurs once every 3-5 years; D1 (Moderate Drought) - represents an event that occurs every 5-10 years; D2 (Severe Drought) - represents an event that occurs every 10-20 years; D3 (Extreme Drought) - represents an event that occurs every 20-25 years; and D4 (Exceptional Drought) - represents an event that occurs every 50 years. D0 is not recognized as a drought classification; however, it provides a warning of areas that are currently vulnerable to drought or areas that are recovering from drought. For more information visit: https://open.canada.ca/data/en/dataset/292646cd-619f-4200-afb1-8b2c52f984a2