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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: Oct 3, 2023
Date Published: Sep 24, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV HTML WMS ESRI REST
Keywords: Land cover Geomatics Geographic information systems Remote sensing Geography Maps Geographic data

The “Annual Unit Runoff (dam3/km2) for a 50% Probability of Exceedence” dataset is a line data set that covers the extent of Canada. It shows the 50% Probability of exceedence annual unit runoff.

Last Updated: Oct 3, 2023
Date Published: Sep 24, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB GEOJSON ESRI REST WMS
Keywords: Water supply Water management Watersheds Hydrology

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: Oct 3, 2023
Date Published: Sep 25, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV WMS HTML ESRI REST
Keywords: Agriculture Land cover Crops Remote sensing

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: Oct 3, 2023
Date Published: Sep 24, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV WMS HTML ESRI REST
Keywords: Crops Satellites Agriculture

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 …

Last Updated: Oct 3, 2023
Date Published: Feb 19, 2020
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV ESRI REST WMS
Keywords: Environment Agriculture Farms Geographic data Crops

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 …

Last Updated: Oct 3, 2023
Date Published: Feb 27, 2019
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV HTML ESRI REST WMS
Keywords: Farms Crops Agriculture Environment Geographic data

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. Windshield surveys are mainly collected by the AAFC …

Last Updated: Oct 3, 2023
Date Published: Aug 11, 2021
Publisher: Agriculture and Agri-Food Canada
Formats: PDF ESRI REST FGDB/GDB SHP GEOJSON
Keywords: Crop insurance Land cover Crops Agriculture Remote sensing

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: Oct 3, 2023
Date Published: Sep 24, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: WMS GeoTIF PDF CSV HTML ESRI REST
Keywords: Geographic information systems Agriculture Crops Satellites Geomatics Geographic data Forage crops Farmlands Land cover Crop insurance Remote sensing Geography

In 2010 the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) continued the process of generating annual crop inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was applied using both optical (AWiFS, Landsat-5, DMC) and radar (RADARSAT-2) based satellite imagery, and having a final spatial resolution of 56m. Methods were also developed to enhance the optical classification with RADARSAT-2 imagery, addressing issues associated with cloud cover. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations …

Last Updated: Oct 3, 2023
Date Published: Sep 24, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV WMS HTML ESRI REST
Keywords: Farmlands Agriculture Satellites Remote sensing Crops Geographic information systems Forage crops Crop insurance Geomatics Land cover Geography Geographic data

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 inventory digital maps using satellite imagery. Focusing on the Prairie Provinces, a Decision Tree (DT) based methodology was applied using both optical (AWiFS, Landsat-5) and radar (RADARSAT-2) based satellite imagery, and having a final spatial resolution of 56m. Methods were also developed to enhance the optical classification with RADARSAT-2 imagery, addressing issues associated with cloud cover. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from …

Last Updated: Oct 3, 2023
Date Published: Sep 25, 2016
Publisher: Agriculture and Agri-Food Canada
Formats: GeoTIF PDF CSV WMS HTML ESRI REST
Keywords: Forage crops Satellites Crops Agriculture Farmlands Crop insurance Geography Land cover Geographic information systems Geographic data Geomatics Remote sensing