Within the Digital Image Analysis course the students have to plan and organize a 2h lecture with practical examples of predefined software packages and teach their fellow students how each software works using concrete examples and providing data for the processing. Today SNAP was covered by Marlene, Christina, Elin and Henning and they covered very nicely the processing of various Sentinel data sets for different applications like wildfire mapping.
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...









