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Found 10 records similar to Annual Crop Inventory 2019

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

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 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

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 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

In 2015, 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: Feb. 18, 2016
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Remote sensing, Land cover, Geomatics, Geographic information systems, Geographic data, Maps, Geography
Federal

In 2012, 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 (except Newfoundland), in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (DMC, SPOT) 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 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:  Crops, Satellites, Agriculture
Federal

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.

Last Updated: Jul. 27, 2021
Date Published: Mar. 12, 2015
Organization: Agriculture and Agri-Food Canada
Formats: WMS HTML GeoTIF PDF CSV ESRI REST
Keywords:  Crops, Agriculture, Land cover, Remote sensing
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 2011, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) expanded the process of generating annual crop inventory digital maps using satellite imagery to include British Columbia, Ontario, Quebec, and the Maritime provinces, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-5, DMC) 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 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:  Remote sensing, Satellites, Agriculture, Crops, Crop insurance, Geomatics, Farmlands, Forage crops, Land cover
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