On June 19, Sebastian Buchelt presented his results from his recent publication “Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series” at the 6th European Conference on Permafrost held in Puigcerda, Spain. A lot of interesting other talks take place here as well as different workshops on the future of permafrost research such as the one organised by the Permafrost Young Researchers Network (PYRN).
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From November 13 to 15, Sofia Haag and Christian Schäfer attended the AK Hydrologie workshop in Bonn, where they presented their work from the EO4CAM project. The first day featured an insightful field excursion to the Ahrtal region, led by Prof. Dr. Jürgen Herget,...
The Science Show in Unterföhring (https://www.vhs-nord.de/programm/veranstaltungen/kurs/Die-grosse-Science-Show-im-November/C1301) offers science by entertainment. Markus Berg, poetry and science slammer, humorously led through the varied evening. Our Professor...
On November 18, 2025, Angie Torres will present her internship at " Detecting Wildfires in Brandenburg, Germany" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Wildfires have become an increasing concern in Germany, particularly in the region of...
The Science Slam is always an event! The 2025 edition - https://www.uni-wuerzburg.de/alumni/aktuelles/science-slam/science-slam-2025/slammer-innen-2025/ - took place at the University of Würzburg in front of another sold-out audience. It was a very humorous evening in...
The International Land Use Symposium 2025 (https://ilus2025.ioer.info/) took place in Dresden, Germany from the 6th to the 7th of November. Our colleagues from our Earth Observation Research Cluster (EORC) and the Earth Observation Center (EOC) of the German Aerospace...
Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.