Description
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.
The initial methodology was developed in partnership with AAFC Research Branch, and supported in part by the Canadian Space Agency. The long-term objective of this endeavour is to expand from the Prairies and produce an annual crop inventory of the entire agricultural extent of Canada.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Annual Crop Inventory (English) | HTML | Open resource | |
| Pre-packaged GeoTIF files (No linguistic component) | Unknown | Open resource | |
| Crop classfications | CSV | Open resource | |
| Data Product Specification (English) | Open resource | ||
| Data Product Specification (French) | Open resource | ||
| Annual Crop Inventory (French) | HTML | Open resource | |
| Annual Crop Inventory 2009 | Ersi REST | Open resource | |
| Annual Crop Inventory 2009 | Ersi REST | Open resource |