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: Machine Learning Inference of Building Basement Presence Using Street-Level Imagery and Multi-Source Geospatial Attributes: A Case Study of Mannheim, Germany
On July 01, 2026, Gökçe Yağmur Özcan will present her Master Thesis on " Machine Learning Inference of Building Basement Presence Using Street-Level Imagery and Multi-Source Geospatial Attributes: A Case Study of Mannheim, Germany " at 11:00 at the EORC...








