This data shows spatial density of Cereals cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Cereals are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Cereals based on analysis of the 2009 to 2021 AAFC annual crop inventory data. Cereals consist of the following specific crop types from the AAFC annual crop inventory; Cereals, Barley (including Spring and Winter), Greenfeed / Mixed Cereals, Millet, Oats, Rye (including Spring and Winter), Spelt, Triticale (including Spring and Winter), Wheat (including Spring and Winter), and Other Cereal

The Grain Elevators in Canada 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 information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

This dataset is complementary to the Centre for Marine Applied Research’s (CMAR) Current Data and Wave Data County datasets. The Current and Wave data are measured by Acoustic Doppler Current Profiler (ADCPs), which are typically deployed for 1 – 3 months in a single location. This Deployment Information dataset provides details for each ADCP deployment, including the variable(s) measured, the deployment location, and instrument configuration.

Feature point layer showing locations of community kitchens available for rent in Manitoba This feature point layer shows locations of community kitchens available for rent in Manitoba. Each kitchen has a Food Service Establishment permit issued by Manitoba Health, and is a suitable facility to produce value-added food products for sale. For more information, visit Manitoba Agriculture. This layer is used in the Manitoba Commercial Community Kitchens map and the Commercial Community Kitchens in Manitoba application. Fields included [Alias (Field Name): Field description] UID (UID): Unique identifier for the kitchen Operating (Operating): Indicates whether or not the kitchen is currently in operation Facility Name (Facility_Name): Name of the kitchen Region (Region): Economic region in which the kitchen is located Address (Address): Physical address of the kitchen City or Town (City_or_Town): City or town in which the kitchen is located Phone (Phone): Phone number for the kitchen Website (Website): Website link for the kitchen Equipment (Equipment): List of available equipment in the kitchen Contact (Contact): Contact person for the kitchen Contact Email (Contact_Email): Email address of contact person for the kitchen Contact Phone (Contact_Phone): Phone number of contact person for the kitchen Secondary Contact (Secondary_Contact): Secondary contact person for the kitchen Secondary Contact Email (Secondary_Contact_Email): Email address of secondary contact person for the kitchen Secondary Contact Phone (Secondary_Contact_Phone): Phone number of secondary contact person for the kitchen Latitude (Latitude): Latitudinal coordinates of the representative centre of the feature in decimal degrees Longitude (Longitude): Longitudinal coordinates of the representative centre of the feature in decimal degrees

In 2019, 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, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, and Guelph.

In 2018, 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, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the BC Ministry of Agriculture, & the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, Guelph, and Summerland

This file outlines the boundaries of the 15 risk areas defined by Manitoba Agricultural Services Corporation./This file describes the boundaries of the 15 risk areas defined by the Manitoba Agricultural Services Corporation. This file outlines the boundaries of the 15 risk areas defined by Manitoba Agricultural Services Corporation. Manitoba Agricultural Services Corporation (MASC) divides Manitoba into 15 Risk Areas of similar crop production risks, which are used to determine the premiums a producer country and the coverage that crops receive. For more information, visit MASC's website: https://www.masc.mb.ca/masc.nsf/maps_risk_areas.html This file describes the boundaries of the 15 at-risk areas defined by the Manitoba Agricultural Services Corporation. The Manitoba Agricultural Services Corporation divides Manitoba into 15 high-risk regions where crop production risks are similar. They are used to determine the premium the producer pays and the coverage the crops receive. For more information, visit the Manitoba Agricultural Services Corporation website: https://www.masc.mb.ca/masc_fr.nsf/maps_risk_areas.html **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The data represents the relative amount of manure production in the agricultural area of Alberta. It is an estimate of the degree to which livestock production may contribute to nutrient loading, pathogens and odour. The classes shown on the map are ranked between 0 (lowest) and 1 (highest). This resource was created in 2002 using ArcGIS.

The cloud-corrected NDVI data extracted from historical MODIS satellite images at 250 metre resolution provides reliable, objective, and timely information on the state of vegetation throughout Canada and the northern United States. The methodology applied to the images has remained the same as for the program formerly known as the Crop Condition Assessment Program (CCAP). Since the 2000 growing season, Statistics Canada has been processing and compiling MODerate-resolution Imaging Spectoradiometer (MODIS) data (250 metre resolution). The Multi-Spectral Instrument (MSI) captures two spectral bands (red and infrared) that have proven to be extremely useful to produce the Normalized Difference Vegetation Index (NDVI) utilized for vegetation monitoring. The original NDVI image composites were produced by Agriculture and Agri-Food Canada (link to original data in the resources section). Additional computations were completed by Statistics Canada to remove the effects of residual clouds and to calculate and extract the NDVI by geographic region. This dataset provides access to the MODIS images from 2000 to present in GeoTIFF format and covers the crop area during the growing season (Julian weeks 15 to 37; mid-April to mid-September). It also provides access to a database that contains the statistical NDVI by geographic regions (Townships, Census Consolidated Subdivisions (CCS), Census Divisions (CD) and Census Agricultural Regions (CAR)) and agricultural masks (Agriculture (AGR), Crop (CROP) and Pasture (PAS)).

Feature point layer showing locations of community kitchens available for rent in Manitoba This feature point layer shows locations of community kitchens available for rent in Manitoba. Each kitchen has a Food Service Establishment permit issued by Manitoba Health, and is a suitable facility to produce value-added food products for sale. For more information, visit Manitoba Agriculture. This layer is used in the Manitoba Commercial Community Kitchens map and the Commercial Community Kitchens in Manitoba application. Fields included [Alias (Field Name): Field description] UID (UID): Unique identifier for the kitchen Operating (Operating): Indicates whether or not the kitchen is currently in operation Facility Name (Facility_Name): Name of the kitchen Region (Region): Economic region in which the kitchen is located Address (Address): Physical address of the kitchen City or Town (City_or_Town): City or town in which the kitchen is located Phone (Phone): Phone number for the kitchen Website (Website): Website link for the kitchen Equipment (Equipment): List of available equipment in the kitchen Contact (Contact): Contact person for the kitchen Contact Email (Contact_Email): Email address of contact person for the kitchen Contact Phone (Contact_Phone): Phone number of contact person for the kitchen Secondary Contact (Secondary_Contact): Secondary contact person for the kitchen Secondary Contact Email (Secondary_Contact_Email): Email address of secondary contact person for the kitchen Secondary Contact Phone (Secondary_Contact_Phone): Phone number of secondary contact person for the kitchen Latitude (Latitude): Latitudinal coordinates of the representative centre of the feature in decimal degrees Longitude (Longitude): Longitudinal coordinates of the representative centre of the feature in decimal degrees