Susanne Karg started her M.Sc. thesis on „Burn scar detection using polarimetric ALOS-2 time-series data“ in cooperation with DLR-DFD (Günter Strunz, Sandra Martinis). The aim of this thesis is to develop a change-detection approach using polarimetric SAR (PolSAR) data and, if suitable data is available, interferometric SAR (InSAR) data to detect fire scars. Within this thesis different polarimetric decomposition approaches and pixel-based classifications will be tested for their suitability to detect a recently burned region of interest. The variables which perform best will then be used for an object-based post-classification refinement.
Internship presentation on Gap-Filling Optical NDVI Using Sentinel-1 SAR–Derived Indices and Machine Learning
Our Master’s student Mahnoor Nadeem successfully presented her research project at the Innolab, showcasing an innovative approach to vegetation monitoring in a savannah ecosystem in Rwanda, namely Akagera National Park. Persistent cloud cover often limits the...
