In 2020, 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) 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, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; 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, Charlottetown, Fredericton, and Guelph. Due to COVID-19 travel restrictions, complete sampling coverages in NL, NS, NB and BC were not possible, as a result the general agriculture class (120) is found in these provinces in areas where there was no ground data collected.

[Archived] Deployment locations and configuration details of Acoustic Doppler Current Profilers (ADCPs) included in the Centre for Marine Applied Research’s (CMAR) “Current Data” county datasets. 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.

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.

Crop rotation is an agricultural production and land management practice beneficial to sustainable agriculture in Canada. Agriculture and Agri-Food Canada (AAFC) produces crop rotation data annually showing the crop rotations used within the agricultural extent of Canada for the last four complete growing seasons (based on available data). This data can be used by producers, land managers, and policy makers to assess current rotations to assist in future land management decisions.Crop rotation data is derirved from AAFC's publicly-available annual crop inventory data.

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

Map showing locations of co-packer services in Manitoba. This map shows the locations of co-packer services in Manitoba. A contract manufacturer or co-packer is a company that manufactures and/or packages food for other companies to sell. This list is not inclusive nor an endorsement for services. For more information, visit Manitoba Agriculture. This map uses the feature layer Manitoba Co-Packer Services and forms part of the Manitoba Co-Packer Services App.

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 “Municipal Solid Waste Biomass Inventory” dataset is a stand-alone product that provides information on the calculated amount of Municipal Solid Waste within each BIMAT grid cell that includes a population centre. Data was provided by National Research Council Canada, with estimates based on census data collected in 2016. This dataset was calculated using an area-weighted analysis between population centres across Canada, Municipal Solid Waste data and the Biomass Report Framework fishnet. It includes information for total residential municipal solid waste, total organic waste (food and yard) and total paper waste.

This web experience includes four dashboards and graphs that show inspections, the most common food safety violations, and the levels of progressive compliance measures taken by health officers to enforce the law. 1. Inspections: This dashboard includes tables showing inspection data collected by the Food Safety and Inspection Directorate over the past five years. <o:p></o:p>Inspection Violations — Overview (arcgis.com) 2. Food safety violations: This dashboard shows the number of violations observed during the years indicated. The number of violations observed is then classified into the category of critical or non-critical offenses. Critical violations are violations that present an immediate risk to food safety and must be corrected within a specified period of time. Non-critical violations do not present an immediate food safety risk but need to be addressed before they become one. <o:p></o:p>Inspection Violations — Overview (arcgis.com) 3. Top five food safety violations: This dashboard shows charts and tables showing the five most common food safety violations observed during inspections. Each type of violation refers to the Manitoba Food Regulations. The five most common violations are expressed as a percentage of all observed food safety violations. <o:p></o:p>Main offences<o:p></o:p> 4. Progressive compliance measures: This dashboard shows how often health officers applied progressive compliance measures to food processing establishments that did not correct food safety violations within the time frame specified in the inspection. The dashboard explains that food processing establishments have a certain amount of time to correct food safety violations based on the risk associated with them. Progressive compliance measures are only applied if the violation is not corrected within the prescribed timeframe. Progressive compliance measures<o:p></o:p> **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Canada Land Inventory (CLI), 1:50,000, Land Capability for Agriculture dataset illustrates the varying potential of a specific area for agricultural production. Classes of land capability for agriculture are based on mineral soils grouped according to their potential and limitations for agricultural use. The classes indicate the degree of limitation imposed by the soil in its use for mechanized agriculture. The subclasses indicate the kinds of limitations that individually or in combination with others, are affecting agricultural land use. Characteristics of the soil as determined by soil surveys.