Use ML to separate forested and non forested landbase with satellite covariates and bcmaps training points #28
Description
Separating the forested landbase from non-forested ecosystems is the first step in building models for identifying broad habitat groups. Most of the analytial tools and information sources required for doing this operation have been presented in the course and can be applied to separate out and map these two broad classes of habitats. Will feed into PEM methods research methods and wetland inventory methods.