Research
My research is focused on using high spatial and temporal resolution empirical and modelled datasets to understand earth-surface processes. I am both a geologist and a geographer by training, and spatial analysis plays a large role in all of my research. I am particularly interested in the impacts of short- and long-term climate changes, as well as feedback loops between vegetation, water, and topography. I am currently a member of the Remote Sensing and Earth-Surface Processes team at the University of Potsdam. More details of my current and past research projects can be found on my Research and Publications pages.
Teaching
I am involved with the Remote Sensing, geoInformation, and Visualization Masters program at the University of Potsdam, and teach quantitative data analysis and remote sensing courses. A particular focus is on efficiently analysing very large remotely sensed datasets. I use the Python programming language extensively in my teaching and research.
Software
I aim to make all of my publication software open-source (see here), and maintain some useful code snippets on github. In particular I maintain a constantly updated set of codes for Google Earth Engine, which I use extensively in my research and teaching.