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L02: Remote sensing and optical data

Things we cover in this session

This session is the first in a series which aims in classifying simple RGB aerial images which are commonly available from public authorities on a state/nation wide basis. The images cover the study area of the Marburg University forest. Before we have a first look on the data and notice that we have to do some overlay work, we will continue the introductory discussion on remote sensing.

Things you need for this session

Things to take home from this session

At the end of this session you should be able to

  • discuss general factors which influence the optical signal in remote sensing
  • explain the general relationship between spatial and temporal resolution
  • overlay raster data sets and cut the extent based on the bounding box of other data sets
  • simply visualize raster data in a GIS environment
  • read/write raster data using R
  • crop raster data sets to a similar extend using R


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-02.txt · Last modified: 2016/11/03 07:57 by tnauss