Actual evapotranspiration (ETact) is an essential component of the water balance and its determination for large areas is difficult on regional scale and can be explored within an innovation laboratory. The use of remote sensing data to determine ETact is particularly suitable to provide area based indicators for the evaluation of the efficiency and productivity of irrigation systems. Seasonal analysis of ETact is hampered by either spatial (MODIS) or temporal (Landsat) resolution. In order to provide a high-resolution (temporal and spatial) and dense remote sensing dataset Landsat and MODIS data will be fussed using the ESTARFM algorithm.
EAGLE MSc Defense “Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda”
On September 16, 2025, Jean de Dieu Tuyizere will present his Master Thesis on "Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda" at 12:00 in seminar room 3, John-Skilton-Str. 4a From the abstract:...