At EAGLE, our students continuously expand their expertise in Earth observation by learning various data processing techniques. Today, they are diving into LiDAR data analysis, using QGIS, Whitebox, and CloudCompare to enhance their skills in handling different remote sensing data and software solutions.
Mastering multiple tools is a key ability for any scientist, as real-world challenges often require a flexible and multidisciplinary approach. By working with different software, our students gain practical experience that prepares them for future research and professional applications.
Stay tuned for more updates on their exciting learning journey!
Lyme borreliosis and tick-borne encephalitis (TBE) are the most common tick-borne diseases in Germany, and they are becoming more relevant. Many infections go unnoticed because they cause mild symptoms or none at all. The MONID HABITRACK project, funded by the BMFTR,...
How can we experience a river beyond what we see from its banks? What can satellite images tell us about its changing landscapes, and what happens when scientific observations become the starting point for artistic interpretation? And - how can we imagine a the...
Right now our staff are busy hauling cases, mounting
displays and testing every cable for the 2nd EO4CAM
Nutzerworkshop, “Erdbeobachtung für die Klimaanpassung,
behördliche Akteure in Bayern”. The doors open tomorrow, and the
exhibition...
Mapping an active fire with various drones flying in parallel is hard enough. But getting the data processed, evaluated and turned into research datasets is a different story. The publication is on its way, and for now we’d like to share a dashboard by Antonio José...
Sometimes a chat during a formal event like the one for the Urban:Pulse funding celebration, results in something totally different. Following a discussion with the vice-president of our University, we promised to look into the research by one of our PhD students...
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...
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.
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