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