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.

This file outlines the boundaries of Manitoba Agriculture's crop reporting regions./This file describes the boundaries of Manitoba Agriculture's crop report regions. This file outlines the boundaries of the five crop reporting regions as specified in Manitoba Agriculture's Crop Report.The Manitoba Agriculture Crop Report provides information on progress of seeding and crop establishment, crop development, any pest activity including weeds, insects and disease, crop activity including weeds, insects and disease, harvest progress, insects and disease, harvest progress, insects and disease, harvest progress, crop yields and grades, fall field work progress, and status of winter cereal crop seeding and establishment. In addition, it provides information on haying progress and estimated yields, as well as pasture conditions.This file describes the boundaries of the five crop report regions as specified in the Agriculture Manitoba crop report.The Manitoba Agriculture crop report provides information on progress in planting and establishing crops, as well as crop establishment, vegetative development, pest activities including weeds, insects, and diseases, harvest progress, yields and crop rankings, progress on field work in the fall, and the status of planting and establishing winter cereal crops. In addition, it provides information on the haymaking process and estimated yields, as well as on pasture conditions. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Grain Elevators in Canada - 2019 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.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping. A new version of the agricultural ecumene is generated every census years (in vector format) since 1986. This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.

The cloud-corrected representation of the NDVI using historical AVHRR and VIIRS satellite images at 1 kilometre 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 1987, the National Oceanic and Atmospheric Administration (NOAA) series of satellites carrying the Advanced Very High-Resolution Radiometer (AVHRR) records images of the entire Earth's surface twice a day at 1kilometre resolution. This sensor captures two spectral bands (red and infrared) that have proven to be extremely useful for vegetation monitoring to produce the Normalized Difference Vegetation Index (NDVI). NDVI image composites on crop condition were produced by GeoManitoba until the end of the 2020 growing season. In 2021, Statistics Canada started producing the weekly composites using an application developed by Dr. Rasim Latifovic from National Resources Canada. Since 2022, due to the aging AVHRR sensor affecting the quality of the weekly composites, the team has transitioned to the NOAA-20 - Visible Infrared Imaging Radiometer Suite (VIIRS) satellite. VIIRS is a new-generation satellite with spectral characteristics comparable to those of its predecessor. To keep the NDVI values stable and continuous throughout the time series, the VIIRS composite values are normalized to obtain comparable NDVI values. Additional computations were performed by Statistics Canada for Julian weeks 15 to 41 to remove residual clouds from the NDVI composites and statistical extractions by geographic regions using three different types of agricultural masks. This dataset gives access to AVHRR images from 1987 to mid-2022 and VIIRS images from mid-2022 to present in GeoTIFF format and covers the agricultural land during the growing season of the field crops in Canada (Julian weeks 15 to 41). 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)).

The following dataset correspond to the 1 km agricultural mask from Statistics Canada’s Crop Condition Assessment Program (CCAP). The mask have been generated from the classes 110 to 199 of the 2015 Agriculture and Agri-Food Canada’s landcover classification. The selection was then generalized to a spatial resolution of 1 km. The 2015 mask was used from the 2015 to the 2018 growing seasons inclusively.

Displays the levels of escalating enforcement applied by health officers to enforce the Manitoba Food and Food Handling Establishment Regulations when food safety violations are not corrected in the prescribed period of time This table displays the frequency in which health officers applied escalating levels of enforcement to food processors who did not correct food safety violations in the prescribed amount of time indicated in the inspection. Food processors are given a period of time to correct food safety violations based on the associated risk to food safety. Escalating enforcement is only applied if the violation is not corrected in the prescribed period of time. This table was created by the Food Safety and Inspection Branch - Agriculture and Resource Development department.Field Names (Field Alias): Field description. Period (Period):The period for which the data was collected. Either quarterly or yearly. Year (Year): The specific year of the previously mentioned data collection period. Date (Date): The dates of the calendar year in which the data was collected during a period. Enforcement_Type (Enforcement Type): The individual levels of escalating enforcement applied by health officers. The values for this field are "Warning letter", "Verbal warning", "Offence notice issued", "Closure orders issued", "Suspensions", "Products seized and destroyed", "Products seized and held". Total (Total): the number of occurrences a level of escalating enforcement was applied in a period.

These products represent crop health indices derived from the Versatile Soil Moisture Budget (VSMB) model using crop specific coefficients and station based precipitation and temperature measurements to simulate crop growth. The VSMB model simulates soil moisture dynamics and water stress conditions based on water availability in the soil profile and simulated evapotranspiration during the crop growing season. Crop phenological stages, which are related to crop water use, are determined by a biometeorlogical time scale model (Robertson, 1968) for cool season crops (wheat, barley etc.) and a Crop Heat Unit (Brown and Bootsma, 1993) algorithm for warm season crops (corn and soybean etc.).

Map showing where custom packaging services in Manitoba are located. This map 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. <o:p></o:p>This map uses the Manitoba contract packaging point layer and is part of the Manitoba contract packaging app. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Grain Elevators in Canada - 2021 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.