Maninder developed a new R package for light use efficiency modelling called “lue”. It returns the biomass of any crop based on the simple physiological paradigm modelled by Shi et al. (2007). Please read more in this blog post on the EAGLE students webpage: http://students.eagle-science.org/to-estimate-biomass-using-light-use-efficiency-model-in-r/
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Jakob Schwalb-Willmann represented our team at the DFG BETAFOR workshop in the Bavarian Forest National Park. The room was full of biologists, which is the whole point of an interdisciplinary project, and our UAS multisensor time series drew a lot of interest from the...
Thermal cameras on drones look very good - visually. They show us temperature of our study objects be it stressed trees, warm patches in a city or active fires. But we do not yet know for sure how far we can trust the temperature values they deliver especially when...
“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...
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.
