L04: Land cover classifications

Things we cover in this session

The next sessions focus on the supervised land-cover classification workflow. Based on digitizing training areas, we will compute one or more classifications and assess the accuracy using Cohen's Kappa.

Things you need for this session

W03-1: Read remote sensing data

W03-2: Explore the Landsat data

Things to take home from this session

At the end of this session you should be able to

create training sites as basis for a land cover classification

compute land-cover classifications using machine learning algorithms

know basic strategies of data splitting and cross validation

Slides

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