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.

[Archived] Deployment specifications for wave time series data collected at various locations throughout the waters of Nova Scotia by the Department of Fisheries and Aquaculture’s Aquaculture Division. This data has not been maintained or updated. Users looking for the latest information should refer to Nova Scotia Current and Wave Data: Deployment Information https://data.novascotia.ca/d/uban-q9i2.

This data shows spatial density of flax cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which flax is 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 flax based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

This data shows spatial density of Barley cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Barley is 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 Barley based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

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 data.

A series of relevant spatial datasets were compiled to construct an Agricultural Potential Index model which combines multiple criteria that influence agricultural suitability.  For more information on the Agriculutural Potential Index Model, please see the metadata link.

Layer of dots showing where custom packaging services in Manitoba are located. This dot layer shows where custom packaging services in Manitoba are located. A contract packager (subcontractor) is a company that manufactures and packages food products sold by other businesses. This list is not exhaustive and does not constitute a recommendation for services. For more information, visit the Manitoba Agriculture website. This point layer is used in the Manitoba Custom Packaging Services Map and the Manitoba Custom Packaging Services app.Fields included [Alias (Field Name): Field Description] Business Name (Business_Name): Contract Packer Business Name: Contract Packer Business Name Service Details (Service_Details): Summary of Services Provided by the Contract Packager Processing Capabilities (Business_Name): Business Name of Contract Packager: Business Name: Business Name of Contract Packager: Business Name: Contract Packager Business Name Service Details (Service_Details): Summary of Services Provided by the Contract Packager Processing Capabilities (Business_Name): Business Name of the Packager _transformation): List of specific food processing processes that the packager has package can provide Minimum production (Minimum_Production): Minimum number of units per order required by the package packager Types of packaging (packaging_types): List of packaging options offered by the packager Permits and licenses (Permis_and_licenses): List of permits and licenses that the packager has Certificates (Certifications): List of certifications obtained by the packager (e.g. organic, kosher): List of certifications obtained by the packager, halal, vegan, gluten-free) Unverified certifications ( Certifications_unverified_): List of unverified certifications obtained by the contract packager (e.g., healthy quality food, good manufacturing practices, British Retail Consortium) Contact information (Contact information): Name of the contact person for the package packager Contact email of the contact person Email of the contact person Email (Email_of_the_contact person): Email of the contact person Number of the contact person (Number_of_the_the_person_resource): Email of the contact person Resource (s): Telephone number of the contact person Address (Address): Municipal address of the packager at package City or town (City_or_village): City or village of the package packager Website (Site_Web): URL of the packager's website Logo URL (Url_du_logo): URL of the package packager logo Latitude (Latitude): Latitudinal coordinates of the entity's representative center (Latitude): Latitudinal coordinates of the entity's representative center in decimal degrees Longitude (Longitude): Longitudinal coordinates of the entity's representative center in decimal degrees **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

In 2014, 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) 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 and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.

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.

This data shows spatial density of oats cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which oats 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 oats based on analysis of the 2009 to 2021 AAFC annual crop inventory data.