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L07: Land-cover classification with R

Things we cover in this session

After computing an actual land-cover using functions from the Orfeo Toolbox, it is time to give R a try.

Things you need for this session

Things to take home from this session

At the end of this session you should be able to

  • use caret and/or gpm to build a model for the prediction of the selected land-cover classes
  • use some R functions to estimate the model performance based on independent test samples
  • enjoy your Christmas holidays


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-07.txt · Last modified: 2017/01/11 15:56 by tnauss