The Agriculture and Agri-Food Canada's LiDAR Projects dataset was created from existing spatial data. It contains the footprints (outlines) of all the LiDAR data that is openly distributed by Agriculture and Agri-Food Canada. LiDAR (Light Detection And Ranging) is a method of acquiring survey points using optical remote sensing technology. The dataset indicates basic information about the location, source and properties of the data. For more information, visit: http://open.canada.ca/data/en/dataset/a760f9e0-7013-4187-9261-2e69b01edd9a

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

The 'Land Cover for Agricultural Regions of Canada, circa 2000' is a thematic land cover classification representative of Circa 2000 conditions for agricultural regions of Canada. Land cover is derived from Landsat5-TM and/or 7-ETM+ multi-spectral imagery by inputting imagery and ground reference training data into a Decision-Tree or Supervised image classification process. Object segmentation, pixel filtering, and/or post editing is applied as part of the image classification. Mapping is corrected to the GeoBase Data Alignment Layer. National Road Network (1:50,000) features and other select existing land cover products are integrated into the product. UTM Zone mosaics are generated from individual 30 meter resolution classified scenes. A spatial index is available indicating the Landsat imagery scenes and dates input in the classification. This product is published and compiled by Agriculture and Agri-Food Canada (AAFC), but also integrates products mapped by other provincial and federal agencies; with appropriate legend adaptations. This release includes UTM Zones 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22 for corresponding agricultural regions in Newfoundland, Prince Edward Island, Nova Scotia, New Brunswick, Québec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia covering approximately 370,000,000 hectares of mapped area. Mapped classes include: Water, Exposed, Built-up, Shrubland, Wetland, Grassland, Annual Crops, Perennial Crops and Pasture, Coniferous, Deciduous and Mixed forests. However, emphasis is placed on accurately delineating agricultural classes, including: annual crops (cropland and specialty crops like vineyards and orchards), perennial crops (including pastures and forages), and grasslands. For more information, visit: http://open.canada.ca/data/en/dataset/16d2f828-96bb-468d-9b7d-1307c81e17b8

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 Canadian Drought Monitor (CDM) is a composite product developed from a wide assortment of information such as the Normalized Difference Vegetation Index (NDVI), streamflow values, Palmer Drought Index, and drought indicators used by the agriculture, forest and water management sectors. Drought prone regions are analyzed based on precipitation, temperature, drought model index maps, and climate data and are interpreted by federal, provincial and academic scientists. Once a consensus is reached, a monthly map showing drought designations for Canada is digitized. AAFC's National Agroclimate Information Service (NAIS) updates this dataset on a monthly basis, usually by the 10th of every month to correspond to the end of the previous month, and subsequent Canadian input into the larger North American Drought Monitor (NA-DM). For more information, visit: http://open.canada.ca/data/en/dataset/292646cd-619f-4200-afb1-8b2c52f984a2

The "Prairie Agricultural Landscapes (PAL)" datasets identify areas of the agricultural portions of the Canadian Prairies with similar land and water resources, land use and farming practices. They are represented by vector polygons. Based on selected attributes from the Soil Landscapes of Canada (SLC) and the 1996 Census of Agriculture, the Prairies were classified into 13 (thirteen) classes of Land Practices Group and five (5) Major Land Practices Groups. Typical attributes used to define the Land Practice Groups include: land in pasture, land in summerfallow, crop mixture, farm size and the level of chemical and fertilizer inputs. The five (5) Major Groups were devised to help better understand the relationships between the groups. For more information, visit: https://open.canada.ca/data/en/dataset/0b2303be-ef05-49a8-8082-44a3eabcfa57

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

These datasets show the areas where major crops can be expected within the agricultural regions of Canada. Results are provided as rasters with numerical values for each pixel indicating the level of spatial density calculated for a specific crop type in that location. Regions with higher spatial density for a certain crop have higher likelihood to have the same crop based on the previous years mapped crop inventories. For more information, visit: http://open.canada.ca/data/en/dataset/fdf82539-5a74-440b-86ef-a16b7801c706

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 Agri-Environmental Indicator (AEI) dataset series provides information that was created using indicators that assess the environmental impact of agricultural activities. These agri-environmental indicators integrate information on soils, climate and land surface features with statistics on land use and crop and livestock management practices. The datasets provide valuable, location-specific information on the overall environmental risks and conditions in agriculture across Canada and how these change over time. This dataset series collects AEI data that is related to geographic features and can be represented on a map. Other types of AEI data are not included. The datasets can be organized into the following major groups: farm land management, soil health, water quality, air quality, and food and beverage industry (not included). Farm land management datasets: soil cover, wildlife habitat, and farm land management (not included). Soil health datasets: soil erosion, soil organic matter, trace elements, and soil salinity. Water quality datasets: nitrogen, phosphorus, coliforms, and pesticides. Air quality datasets: greenhouse gases, ammonia, particulate matter. For more information, visit: http://open.canada.ca/data/en/dataset/e996d9be-6a3b-4059-9afc-17dc68385f05