Teaching & Supervision

Curriculum Erasmus Mundus Joint Master  Copernicus Master in Digital Earth (academic lead)I

University courses

  • Advanced remote sensing
  • Spatial thinking and modelling
  • Object-based image analysis (online course)
  • Image processing and analysis
  • Copernicus hubs and institutions
  • Spatial analysis (focus: remote sensing workflows)
  • Global problems and challenges
  • GeoHumanitarian action
  • Scientific methods and writing
  • Landscape structure analysis
  • Systems thinking in spatial representations
  • International Summer Schools and BIPs (Blended Intensive Programmes)

PhD Theses and MSc Theses 

  • Ndatabaye, Sapiens [Climate-change induced migration, topic tbd]
  • Ruess, Stefan (co-tutelle with University of Applied Sciences Carinthia) “Delineation of geometric and morphological parameters of vines, using UAS-based data acquisition, 3D point cloud analysis and OBIA” [ongoing]
  • Menk/Petutschnig, Linda “Uncovering processes – developing transparent data assimilation strategies to understand and reduce integrative risks” [close to completion]
  • Gao, Yunya “Applications of deep learning and remote sensing in refugee/internally displaced person (IDP) camp mapping”  [close to completion]
  • Gella, Getachew “Multi-sensor integration for Earth observation based humanitarian action – issus of uncertainty in the information extraction and delivery process”  [close to completion]
  • Sudmanns, Martin “Spatio-temporal big Earth data” [completed]
  • Braun, Andreas (co-tutelle with University of Tübingen) “Radar satellite imagery for humanitarian response – bridging the gap between technology and application” [completed]
  • Dabiri, Zahra “Object-based hyperspectral habitat mapping” [completed]
  • Csillik, Ovidiu “Spatio-temporal object-based image analysis for land-use/land-cover mapping” [completed]
  • Olaf Kranz, University of Salzburg: “Earth Observation for Population Monitoring and the Assessment of Environmental Changes related to Conflict Situations in Sudan and the Democratic Republic of the Congo” [completed]
  • Strasser, Thomas “Integrated EO-based habitat mapping and modelling in alpine areas” [ongoing]
  • Riedler, Barbara “Habitat quality indicators” [ongoing]

MSc Theses (selection, last 3 years)

  • Adriko, Kenndy “Multi-modal fusion of optical and radar satellite image time series for deforestation mapping in the Amazonian forest“, 2022
  • Jaggy, Niklas “Deep learning powered non-local speckle filtering of Sentinel-1 imagery and its benefits for geohumanitarian action”, 2022
  • Sreifeneder, Vanessa “Analyzing the impact of grey data quality in the training phase of deep-learning models for dwelling extraction in refugee camps”, 2022
  • Adebayo, Adebowale “Assessment of post-classification comparison techniques for multi-temporal change detection”, 2022
  • Ofori-Ampofo, Stella “Multi-sensor crop type identification using Pixel-Set Encoders and Temporal Self-Attention”, 2021
  • Tumampos, Stephanie “Neural Network Architecture for determining Urban Air Pollution in Rennes”, 2021