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
Powered by WPeMatico
you may also like:
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...
On October 29, 2026, we had the pleasure of welcoming Prof. Dr. Marco Körner from the Earth Observation Center (EOC) of the German Remote Sensing Data Center at the DLR to the Earth Observation Research Cluster (EORC) at the University of Würzburg for an inspiring...
The University of Würzburg’s online magazine einBLICK has covered the award ceremony at which Prof. Stefan Dech received the Bavarian State Medal for Outstanding Services to the Environment on 21 October 2026. The award recognizes his long-standing contributions to...
Last week, Sebastian Buchelt and Jakob Schwalb-Willmann traveled to Longyearbyen, Svalbard, for a teaching stay on the high-arctic island hosted by the University Centre in Svalbard (UNIS). Sebastian taught a three-day block course on...
Big news for the whole EORC family: Prof. Stefan Dech has received the Bavarian State Medal for Services to the Environment, one of the state’s official honors for environmental achievement. In the laudatio, the Bavarian State Ministry for the Environment and Consumer...
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.
