What our Earth Observation EAGLE students learn

What our Earth Observation EAGLE students learn

December 2, 2024

At EAGLE, we are committed to cultivating a dynamic learning environment where students are equipped not just with theoretical knowledge but also with practical skills that meet the demands of the evolving field of Earth Observation. Our comprehensive curriculum encourages students to engage in hands-on projects that bridge the gap between academia and real-world applications, fostering creativity and innovation. Whether they’re analysing satellite data, creating great visualisations, or applying machine learning techniques to environmental challenges, our students are empowered to think critically and work collaboratively. Our emphasis on interdisciplinary learning ensures that every graduate emerges not only as a proficient user of various software tools but as a visionary ready to tackle pressing global issues through the lens of Earth Observation.

These images/videos have been created by our 9th gen EAGLE Sebastian Rothaug within the Introduction to Spatial Analysis Software course by Ariane Droin and Martin Wegmann.

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Successful defence of Agnes Zwick’s Master’s thesis

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Drone manufacturer Wingtra visits EORC

Drone manufacturer Wingtra visits EORC

Is it possible to combine the efficiency of a fixed-wing drone with the precision of a laser scanner? That question brought researchers from EORC together with Wingtra, a Swiss company designing and manufacturing fixed-wing UAS, to exchange on UAS research and discuss...

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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