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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...

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...

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...

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...

This dataset contains the stable nitrogen (δ15N), carbon (δ13C), oxygen (δ18O), and hydrogen (δ2H) isotope data from 1123 samples of underfur hair of adult polar bears (Ursus maritimus) sampled between 1992 to 2017 from subpopulation boundaries (zone) in the Canadian Arctic and sub-Arctic....

Land use classification on the basis of multidate Landsat-ETM and Radarsat-1 images. Classification is based on the segmentation of images into objects using Definiens Earth software (formerly eCognition©). Object-oriented classification combines fuzzy logic, based on spectral, spatial and...