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
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KI4Stereo – Hybrid kick-off meeting at DLR: AI-based analysis of stereo image data for tree monitoringOn January 23rd, 2026, a hybrid kick-off meeting was held at DLR to officially launch the research project KI4Stereo (funded under the KMU-innovativ programme,...
We are very pleased to congratulate our PhD student Sebastian Buchelt on his successful defense of his dissertation, “Potential of Synthetic Aperture Radar time series for mapping and monitoring of small-scale periglacial processes in alpine environments.” His work...
A new peer-reviewed publication investigates how between-patch heterogeneity and old-growth forest attributes influence the structure of beetle metacommunities in temperate forests. The study, led by Dr. Oliver Mitesser from the Biology Department, combines...
From 9–13 February 2026, EAGLE Master students took part in the block course “Cubes & Clouds – Cloud Native Open Data Sciences for Earth Observation”, taught by Dr. Insa Otte, Steve Hill, and Peter Zellner (DLR). The course introduced key concepts such as data...
Dr. Marius Philipp recently returned to our EORC at the University of Wuerzburg to share insights from his work at Airbus, where he spoke about his work in AI, data science, and applied Earth Observation. His talk highlighted how analytical thinking, remote sensing...
We are pleased to announce that our PhD student Baturalp Arisoy has just released the open soure Python package stac2cube, dedicated to transform Sentinel-2 satellite imagery into analysis ready data. The package addresses a number of typical challenges arising during...
