welcome of the new EAGLE Earth Observation students

welcome of the new EAGLE Earth Observation students

m

October 14, 2024

Today our new EAGLE students were welcomed and introduced to our remote sensing work.
Tobias Ullmann presented various remote sensing projects at our EORC from Africa to the Arctic and also outlined our structure. Martin Wegmann introduced the general concept of EAGLE and the courses for the next months.
We are very much looking forward to get to know all the new Earth Observation students within EAGLE and follow their scientific pathway in the next years!

you may also like:

Poster Presentation at AK Hydrologie, Bonn

Poster Presentation at AK Hydrologie, Bonn

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,...

A Glimpse into Our Research: Data on Display in the Foyer

A Glimpse into Our Research: Data on Display in the Foyer

Stepping into the foyer, visitors are now greeted by large, striking images that tell the story of our research through data. Each visual represents a unique scientific perspective – from the Arctic to the cultivated landscapes of Bavaria, and from forest canopies to...

Successful MSc defense by Sonja Maas

Successful MSc defense by Sonja Maas

Big congratulations to Sonja Maas, who successfully defended her Master thesis today on the highly relevant and increasingly pressing topic: LiDAR-Based Acquisition Strategies for Forest Management Planning in a Mature Beech Stand Supervised by Dr. Julian Fäth and...

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

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”.