====== 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 =====
[[https://docs.google.com/presentation/d/1rCf98dxHXbm6z1VEPqOhsTl6qyo2tQauRWb9hY5sPmg/embed?start=false&loop=false&delayms=3000 |Slides - Land cover classifications]]