We welcome a new PhD student, Konstantin Müller, one of our former EAGLE students.
Konstantin Müller studied Computer Science at the JMU Würzburg before working as a software engineer and studying Aerospace IT. After switching to EAGLE and focusing his research in the direction of Earth Observation, he quickly was able to publish his first paper on Digital Surface Model creation through deep learning together with Hannes Taubenböck, Christian Geiss, and the Computer Science Department of the JMU. With his expertise on programming, he re-developed the already well established R package RStoolbox while coding QGIS plugins for the community. So far, he tries to keep his research in a multidisciplinary manner finishing a master thesis about animal path segmentation and starting a PHD in the direction of central African settlement development.
you may also like:
Learning Earth Observation Data Acquisition in Real-World Conditions
As part of our course on Earth Observation data acquisition, EAGLE students experience first-hand that even the best planning is ultimately shaped by the weather. While flight plans, measurement strategies, and schedules can be carefully prepared in advance, field...
Snow Research at Schneefernerhaus, Zugspitze
Recently, our team carried out another successful field campaign at the Schneefernerhaus research station on the Zugspitze in the Alps. Together with our EAGLE students, we collected UAS-based environmental data alongside detailed in-situ measurements of snow...
Diversifying Energy Crops through Biogas Flower Mixtures
In a recent contribution to Praxis Agrar - the practice-oriented online platform published by the Bundesinformationszentrum Landwirtschaft (BZL) - biogas flower mixtures are presented as a viable alternative to maize-dominated energy cropping systems. The article...
🌍 Earth Observation News: Wrapping Up 2025, Looking Ahead to 2026
As 2025 draws to a close and 2026 begins, our Earth Observation Research Cluser News Blog on Remote-Sensing.org offers a rich overview of a year defined by scientific diversity, collaboration, and real-world impact. From peer-reviewed publications and innovative...
New publication: Mapping animal paths using drones and deep learning
We're pleased to share our latest open-access research on automatically detecting animal paths in Africa's Kruger National Park using drone imagery and deep learning. Published in Ecological Informatics, our study demonstrates how deep learning can be employed to...
A Thank You for a Remarkable 2025 🌍
As 2025 draws to a close, we at the Earth Observation Research Cluster (EORC) would like to take a moment to reflect on an inspiring and productive year—and to say thank you to everyone who made it possible - from EORC staff, EAGLE student to our collaborators. This...








