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L10: Land-cover prediction

Things we cover in this session

After training our model, one can use it for the actual land-cover prediction and a visual and quantitative quality assessment.

Things you need for this session

Things to take home from this session

At the end of this session you should be able to

  • predict land-cover based on a trained model
  • statistically and visually assess the quality of a land-cover classification
  • discuss potential steps for improving a classification result


For slide notes, export or printing, please use the options interface of the embedded frame.

courses/msc/msc-phygeo-remote-sensing/lecture-notes/rs-ln-10.txt · Last modified: 2017/01/26 15:44 by tnauss