====== 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 ===== [[en:courses:training:element-01:worksheets:lc-ws-03-1|W03-1: Read remote sensing data]] [[en:courses:training:element-01:worksheets:lc-ws-03-2|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 ===== {{section>resources:templates:template_messages#Google Presentation Caption}}