Remote sensing and spatial analysis
Researchers at the Department of Geography focus on combining different earth observation datasets, such as optical, radar, and topographic datasets to characterise landscapes, and assess their changes over a variety of spatial and temporal scales. . Our researchers are specialised in a number of analytical methods, such as Object Based Image Analysis (OBIA), acquisition of UAV point cloud data, time series analysis, Digital Elevation Model (DEM) generation and comparison, and Synthetic Aperture Radar (SAR) analysis. Earth Observation and spatial analysis is cross-disciplinary and is applied within our research on topics including glacial and periglacial landscapes, vegetation monitoring and habitat change.
Researchers at the Department of Geography work on a selection of contemporary and paleoglaciology themes.
Remote Sensing and Earth Observation data also form an important component of our glaciological research. The availability of high spatial and temporal resolution datasets have permitted many innovative studies on glaciers worldwide.
Current projects include automating the creation and maintenance of glacier inventories in the Nepali Himalaya, Austrian Alps, the Norwegian mainland among other regions. We also have ongoing studies into dynamics of debris-covered glaciers, analysis of glacier stagnation and thinning, and monitoring of permafrost degradation.