en:courses:training:element-01:lecture-notes:lc-ln-04
Table of Contents
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
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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en/courses/training/element-01/lecture-notes/lc-ln-04.txt · Last modified: 2022/03/13 19:16 by 127.0.0.1