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.
New publication: Mapping animal paths using drones and deep learning
We're pleased to share our latest open-access research on automatically detecting animal paths in Africa's Kruger National Park using drone imagery and deep learning. Published in Ecological Informatics, our study demonstrates how deep learning can be employed to...
