
Our new staff and project information wall is nearly finished. Still some projects and staff members are missing but we are getting closer.
Look at the details where people are working and where projects are located on the first floor in OKW 86.
Our new staff and project information wall is nearly finished. Still some projects and staff members are missing but we are getting closer.
Look at the details where people are working and where projects are located on the first floor in OKW 86.
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Last week, two of our EORC members (Dr. Insa Otte and Dr. Michael Thiel) had the opportunity to visit several research institutions in Côte d’Ivoire—both in Abidjan and at the Lamto Ecological Research Station. During this visit, they gained valuable insights into the...
Two of our EORC staff members (Dr. Michael Thiel, Dr. Insa Otte) had the opportunity to visit the Lamto Research Station, located in the forest–savanna transition zone of central Côte d'Ivoire. Established in the 1960s, Lamto is one of West Africa’s most prominent...
The SIMWE model (r.sim.water) was successfully presented at the municipal level in Markt Burgheim, showcasing its capabilities for local flood risk assessment. Key contributions were made by EORC colleagues Sofia Haag, Christian Schäfer and John Friesen from the...
Sarah joined the EORC in April 2025 as a PhD student in the DFG project “SOS: Serverless-Scientific-Computing and -Engineering for Earth Observation and Sustainability Research”. After completing her Bachelor’s degree in Agricultural Biology at the University of...
What happens when two passionate Earth Observation students take the reins of the University of Würzburg’s Instagram account? A few days full of inspiration, insights, and a whole lot of drone footage! 🌍🚁 EAGLE MSc students Marlene and Anna recently gave our...
The Earth Observation Research Cluster (EORC) invites to a talk by Sarah Hauser and Andreas Schmitt (see below), entitled "Wald5Dplus: An open benchmark dataset for the combined spatial, spectral, polarimetric and temporal characterization of forest stands using...