The applied course on remote sensing for biodiversity is currently conducting field measurements and spatial data analysis in the Bavarian Forest national park. This course in embedded in the Global Change Ecology study program. 15 students are learning this year how to apply hyperspectral data lidar data and landsat data for analysing spatial biodiversity patterns… Read More
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“A remote sensing scientist, a social geographer, an informatics researcher, a sports researcher, a psychologist, a linguist and an economist meet ... what sounds like the start of a joke, was the start of a great interdisciplinary research project.” That’s how Hannes...
On November 3-4, 2026, the NetCDA II (European Academic Network for Capacity Development in Climate Change Adaptions in Africa) project network of 12 German academic partners met at the EORC for their annual meeting. We welcomed our new German research institutions on...
This fall, the new Master Ecological Forecasting (MEF) in the Elite Network of Bavaria (ENB) has welcomed its first generation of students. The unique programme is an interdisciplinary initiative between University of Bayreuth and University of Würzburg.
We’re happy to see that Mainpost, our local newspaper, also reported on the Bavarian State Medal for Outstanding Services to the Environment. Stefan Dech received it on October 21 at the Munich Residenz, and Environment Minister Thorsten Glauber gave the laudatory...
If you open the printed Mainpost today, keep an eye out for the Universitätsbund Würzburg’s invitation to the Festkonzert. Among the topics on the page, there’s one we’re rather proud of: our newly funded project URBAN:Pulse, which will be officially celebrated at the...
Today our researchers from the department working on the MONID-HABITRACK project, that is funded by the BMFTR, went to the field to acquire LiDAR, thermal and multispectral data with their drones. Within our department the project is located at the Chair of Remote...
bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):
Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.
