After the computation of a land-cover classification, one could use the data set for further analysis. As one example and the last one within this module, we will try to characterize the forest areas with respect to some biodiversity measure.
After completing this worksheet you should be able to compute some relative biodiversity measures.
QGIS and OTB — For remote sensing related tasks, we recommend to use the capabilities of QGIS including the Orfeo ToolBox (OTB) plugin. Regarding the installation, the unstable repository of the Ubuntu GIS package is a good choice for Linux while we strongly recommend the OSGeo4W environment as installation source for Windows users. Please have a look at the actual OTB download options prior your installation of QGIs. If you experience troubles with the OTB plugins in QGis, you can also install Monteverdi2 which is a stand alone GUI for OTB.
R Studio — we recommend to use R Studio for (interactive) programming with R. You can download R Studio from the official web page.
As always, please add these entries to your today's learning log in the beginning of your Rmd file you will use to push to your GitHub classroom.
As today's special, please complete the following assignment:
The Shannon diversity is one of various biodiversity measures commonly used in related analysis.
Please compute a Shannon diversity index relative to each tree position with a radius of 10 to 100 meters in steps of 10.
Please include your script and the visualization of the Shannon diversity for a radius of 30 m in a Rmd script, update (i.e. commit) it and publish (i.e. push) it to the GitHub classroom.