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courses:msc:msc-phygeo-remote-sensing:worksheets:rs-ws-02-1

W02-1: Aerial images I/O

This worksheet is the first in a series which aims in the classification of simple aerial images. It will focus on how to overlay images using certain rules which is necessary if e.g. certain overlapping information has to be removed from the data.

After completing this worksheet, you should be able to read and write raster geo-data in R and use simple overlay operations in a kind of operational manner.

Things you need for this worksheet

  • R — the interpreter can be installed on any operation system. For Linux, you should use the r-cran packages supplied for your Linux distribution. If you use Ubuntu, this is one of many starting points. If you use Windows, you could install R from the official CRAN web page.

  • R Studio — we recommend to use R Studio for (interactive) programming with R. You can download R Studio from the official web page.

  • Git environment for your operating system. For Windows users with little experience on the command line we recommend GitHub Windows.

  • Aerial images covering Marburg University forest available from

    GeoMOC - a data repository holding various data sets for visualization and download.

Aerial images from the Marburg University forest

The aerial images used by this course are simple RGB data sets provided by the Hessische Verwaltung für Bodenmanagement und Geoinformation (HVBG). They are provided as GeoTIFF and come in an ETRS89/UTM 32 north projection.

Visualize the images

The first step in non-operational remote sensing methods is generally the one where you look at your data sets to roughly check the quality. Let's start with this:

:-\ Please download the aerial images of Marburg University forest from GeoMOC and visualize them in a software of your choice.

:-\ Check the quality of the images. What potential processing steps might be required next?

The raster package is quite handy for raster data I/O in R. Have a look at the respective documentation or E02-1 - Spatial data I/O in order to get this task done.
courses/msc/msc-phygeo-remote-sensing/worksheets/rs-ws-02-1.txt · Last modified: 2016/11/03 13:59 by tnauss