Faculty of Mathematics and Natural Sciences - Earth Observation Lab

Advanced Remote Sensing topics using R

German: Modul Vertiefungsmodul Vegetationsfernerkundung

  • Prerequisites: Introduction to Remote Sensing
  • B.Sc.: optional (recommended especially for students with interest applied programming and bachelor thesis in methods of remote sensing)
  • B.A.: optional

R logo and R code in an RStudio display

RStudio environment. Fig. mix from https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/R_logo_2000.png/220px-R_logo_2000.png and http://www.rexamples.com/img/rstudio-run-source.jpg. Fig.: Katja Janson

The monitoring and mapping of vegetation and land cover is one of the key activities in Earth observation (EO). Advanced EO products are pivotal for many geographic and environmental studies. In this module students learn concepts and techniques for analyzing and mapping vegetated land cover and its characteristics at various spatial scales and with different sensor systems. Data analysis is fully done in R and students learn to create customized R-scripts along a series of processing tasks throughout the semester.