Agriculture and Agri-Food Canada

Service health Now:
Interface
Web Service, OGC Web Map Service 1.3.0
Keywords
Remote Sensing,Satellites,Agriculture,Crops,Crop insurance,Farmlands,Forage crops,Land cover,Geomatics,Geographic Information Systems,Geographic data,maps,Geography,lang-en
Fees
unknown
Access constraints
© Government of Canada (2023). Data are subject to the Government of Canada Open Data Licence Agreement: https://open.canada.ca/en/open-government-licence-canada. The terms of this Agreement govern your use and reproduction of the data instead of the copyright reproduction statements found in Important Notices on the Agriculture and Agri-Food Canada website.
Supported languages
No INSPIRE Extended Capabilities (including service language support) given. See INSPIRE Technical Guidance - View Services for more information.
Data provider

Agriculture and Agri-Food Canada (unverified)

Contact information:

Agri-Geomatics

Agriculture and Agri-Food Canada

Canada

Email: 

Service metadata
No INSPIRE Extended Capabilities (including service metadata) given. See INSPIRE Technical Guidance - View Services for more information.

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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 our regional AAFC colleagues. The overall process for Crop Inventory Map includes: satellite data acquisition; field data acquisition for classification training and accuracy assessment; and, operational implementation of the classification methodology. For more information, visit: https://open.canada.ca/data/en/dataset/ce7873ff-fbc0-4864-946e-6a1b4d739154

Available map layers (1)

annual_crop_inventory_2009 (0)

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 our regional AAFC colleagues. The overall process for Crop Inventory Map includes: satellite data acquisition; field data acquisition for classification training and accuracy assessment; and, operational implementation of the classification methodology. For more information, visit: https://open.canada.ca/data/en/dataset/ce7873ff-fbc0-4864-946e-6a1b4d739154

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Last updated 2025-05-11 06:44:01 UTC.