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Found 10 records similar to Grain Statistics Weekly

Federal

Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory.

Last Updated: May 17, 2022
Date Published: Nov. 4, 2013
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Satellites, Crops, Agriculture
Federal

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

Last Updated: Jul. 27, 2021
Date Published: Jan. 25, 2018
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Farms, Crops, Environment, Geographic data, Agriculture
Federal

In 2013, 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.

Last Updated: Jul. 27, 2021
Date Published: Nov. 4, 2013
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Satellites, Agriculture, Remote sensing, Crops, Crop insurance, Forage crops, Farmlands, Geomatics, Land cover
Federal

In 2017, 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, Gaofen-1) 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

Last Updated: Jul. 27, 2021
Date Published: Jan. 25, 2018
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Agriculture, Satellites, Crops, Crop insurance, Farmlands, Forage crops
Federal

In 2016, 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, Gaofen-1) 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.

Last Updated: Jul. 27, 2021
Date Published: Feb. 14, 2017
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Agriculture, Satellites, Crops, Crop insurance, Farmlands, Forage crops
Federal

A weekly, cumulative summary of allocations by grain, as well as a weekly summary of allocations by grain and port.

Last Updated: Dec. 9, 2022
Date Published: Jul. 31, 2017
Organization: Canadian Grain Commission
Formats: CSV
Keywords:  producer car, grain, movement, statistics
Federal

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.

Last Updated: Jul. 27, 2021
Date Published: Feb. 18, 2020
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF CSV ESRI REST GeoTIF
Keywords:  Farms, Environment, Geographic data, Crops, Agriculture
Federal

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.

Last Updated: Jul. 5, 2021
Date Published: Mar. 22, 2021
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF CSV ESRI REST GeoTIF
Keywords:  Geographic data, Environment, Farms, Agriculture, Crops
Federal

Contract History is information about contracts awarded by Public Works and Government Services Canada (PWGSC) since January 2009, on behalf of federal departments and agencies. The Contract History CSV files are updated monthly, and are organized by fiscal year. A complete Contract History file, containing contracts from 2009 to today is also available for download on this page. Visit the "About Contract History" page to learn more: https://buyandsell.gc.ca/procurement-data/contract-history/about-contract-history.

Last Updated: Nov. 23, 2022
Date Published: Mar. 8, 2013
Organization: Public Services and Procurement Canada
Formats: XML CSV
Keywords:  contracts, tenders, GETS, notices, supplier, standing offers, supply arrangements, vendor, GSIN
Federal

The Crop Condition Assessment Program (CCAP) is developed and maintained by the Remote Sensing and Geospatial Analysis Section (RSGA) within the Agriculture Division. The CCAP combines remote sensing, GIS, and the Internet to provide reliable, objective, and timely information on crop and pasture/rangeland conditions using a mapping application for the whole Canadian agricultural area and the northern portion of the United States. 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 one kilometre resolution. This detector 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).

Last Updated: Aug. 11, 2021
Date Published: Sep. 1, 2018
Organization: Statistics Canada
Formats: HTML XLS ZIP
Keywords:  Agriculture, Satellite images, AVHRR, NDVI, growing season, Resolution, CCAP, Agricultural assistance, Satellite imagery
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