Asja Bernd started her MSc on ” A Global Analysis of Grassland Fragmentation” supervised by Neil Burgess (UNEP) and Martin Wegmann. She will use globally available land cover data sets and compute a variety of spatial metrics to derive the fragmentation pattern of grasslands. Methods available in R and GRASS will be applied to allow a semi-automatic global analysis. Asja is a student in the Global Change Ecology MSc program and well trained in journalism as well as natural sciences.
About The Author
Akam. Rat (sen. lecturer, Ass. Prof.) for Remote Sensing in Biodiversity and Conservation. Teaching within the Global Change Ecology study program: Remote Sensing application in Ecology. Mainly using OpenSource software: R, GRASS, QGIS, Latex, beamer, knitr, tikz/pgf
April 26, 2017
March 8, 2017
New publication: Fundamentals of remote sensing for terrestrial applications: Evolution, current state of the art, and future possibilities
September 21, 2017
October 21, 2014