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Found 10 records similar to Canadian Crop Yields

Federal

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.

Last Updated: Sep. 29, 2021
Date Published: Jun. 1, 2018
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB CSV GEOJSON
Keywords:  Yield, Farmlands, Agriculture, Crops
Federal

This series of datasets has been created by AAFC’s National Agroclimate Information Service (NAIS) of the Agro-Climate, Geomatics and Earth Observations (ACGEO) Division of the Science and Technology Branch. 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.

Last Updated: Jun. 6, 2022
Date Published: Dec. 9, 2014
Organization: Agriculture and Agri-Food Canada
Formats: SHP GML WMS FGDB/GDB HTML PDF ESRI REST
Keywords:  Climate, Precipitation, Drought
Federal

Beginning with the 2011 grow season, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) started collecting ground truth data via windshield surveys. This observation data is collected in support of the generation of an annual crop inventory digital map. These windshield surveys take place in provinces where AAFC does not have access to crop insurance data. The collection routes driven attempt to maximize not only the geographical distribution of observations but also to target unique or specialty crop types within a given region.

Last Updated: Apr. 14, 2022
Date Published: Aug. 9, 2021
Organization: Agriculture and Agri-Food Canada
Formats: SHP PDF FGDB/GDB GEOJSON ESRI REST
Keywords:  Land cover, Crops, Agriculture, Remote sensing, Crop insurance
Federal

Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors, including drought. The Canadian Drought Outlook predicts whether drought across Canada will emerge, stay the same or get better over the target month. The drought outlook is issued on the first Thursday of each calendar month and is valid for 32 days from that date.

Last Updated: Jul. 27, 2021
Date Published: Dec. 1, 2020
Organization: Agriculture and Agri-Food Canada
Formats: SHP PDF FGDB/GDB ESRI REST GEOJSON
Keywords:  Drought Forecast, Climate, Weather forecasts, Farmlands, Weather, Meteorology, Drought, Agriculture, Temperature
Federal

Each pixel value corresponds to the best quality maximum NDVI recorded within that pixel over the week specified. Poor quality pixel observations are removed from this product. Observations whose quality is degraded by snow cover, shadow, cloud, aerosols, and/or low sensor zenith angles are removed (and are assigned a value of “missing data”). In addition, negative Max-NDVI values, occurring where R reflectance > NIR reflectance, are considered non-vegetated and assigned a value of 0.

Last Updated: Jul. 19, 2021
Date Published: Nov. 1, 2012
Organization: Agriculture and Agri-Food Canada
Formats: PDF GeoTIF
Keywords:  Climate, Crops, Agriculture, Remote sensing
Federal

AAFC’s Canadian Ag-Land Monitoring System (CALMS), operational since 2009, was developed by AAFC’s Earth Observation Service (EOS) to deliver weekly NDVI-based maps of crop condition in near-real-time. The CALMS uses data collected by the Moderate Resolution Imaging Spectro-radiometer (MODIS), a sensor mounted onboard NASA’s Terra satellite that has been acquiring data since February 2000. The state-of-the-art radiometric, spectral and spatial resolutions of MODIS Terra make it particularly well-suited for large-scale vegetation mapping and assessment. Crop condition (NDVI) maps are generated weekly by AAFC throughout Canada’s growing season, the period defined as the six-month period stretching from the start of Julian week 12 (end of March) to the end of Julian week 44 (late October).

Last Updated: Jul. 19, 2021
Date Published: Nov. 1, 2012
Organization: Agriculture and Agri-Food Canada
Formats: PDF GeoTIF
Keywords:  Climate, Crops, Agriculture, Remote sensing
Federal

Each pixel value corresponds to the quality control, cloud cover and snow fraction value for each pixel in the Best-Quality Max-NDVI product.

Last Updated: Jul. 19, 2021
Date Published: Nov. 1, 2012
Organization: Agriculture and Agri-Food Canada
Formats: PDF GeoTIF
Keywords:  Climate, Crops, Agriculture, Remote sensing
Federal

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.

Last Updated: Jul. 5, 2021
Date Published: Apr. 8, 2015
Organization: Agriculture and Agri-Food Canada
Formats: PDF HTML GeoTIF
Keywords:  Crops, Agriculture statistics, Farms
Federal

Each pixel value corresponds to the day-of-week (1-7) from which the Weekly Best-Quality NDVI retrieval is obtained (1 = Monday, 7 = Sunday).

Last Updated: Jul. 19, 2021
Date Published: Nov. 1, 2012
Organization: Agriculture and Agri-Food Canada
Formats: PDF GeoTIF
Keywords:  Agriculture, Crops, Climate, Remote sensing
Federal

The “Major Basins of the AAFC Watersheds Project - 2013” dataset is a geospatial data layer containing polygon features representing the 23 major basins of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project. The Project is subdivided by ‘incremental gross drainage areas’ associated to individual hydrometric gauging stations. The maximum area that could contribute runoff to each gauging station, less that of its upstream neighbour(s) is called an ‘incremental gross drainage area’. Conceptually, the major basins are collections of the “incremental gross drainage areas” associated with particular major river or lake reach (for example, reaches of the Saskatchewan or Athabasca River).

Last Updated: Dec. 9, 2020
Date Published: Apr. 5, 2013
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF FGDB/GDB ESRI REST GML
Keywords:  Watersheds, Hydrology, Water, Drainage, Inland waters, Western provinces
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