EO4CAM expert dialogue in the Rhön on the contribution of EO for climate adaptation

EO4CAM expert dialogue in the Rhön on the contribution of EO for climate adaptation

February 21, 2025

On February 18, 2024, the EO4CAM project, with team members from the Earth Observation Center at the DLR and the EORC at the University of Würzburg, organized an expert dialogue in the Rhön. This dialogue focused on the UNESCO Rhön Biosphere Reserve (BRR) as a pilot region in EO4CAM, aiming to network and exchange between science, administration, and practice on Earth observation (EO) for climate adaptation in the BRR. Participants in the dialogue included the BRR management center, climate protection and adaptation managers from the region, representatives of the Bavarian Farmers’ Association and the Landscape Conservation Association Bad Neustadt a.d. Saale, the Office for Food and Rural Development Bad Neustadt, the Environmental Office Rhön-Grabfeld, and the Government of Lower Franconia with the Department of Water Management.EO4CAM project members informed the participants about the current EO-based developments and research activities focusing on urban areas, agriculture, forestry, and georisks. Statements on the importance of remote sensing for protected area management and an overview of the thematic priorities of the BRR by the biosphere management center supported this information.Using two specific application cases processed in EO4CAM on heavy rainfall events in Bavaria, challenges in landscape water balance and flash flood management were particularly discussed. Further discussions aimed at EO4CAM’s contribution to developing data and information for implementing and promoting concrete measures such as hedge structures and water retention. Important target values mentioned here are the reduction of runoff peaks and flow velocities and the reduction of the erosive potential and soil loss. The exchange among the participants highlighted the strong demand for tailored data products for various regional user groups.The expert dialogue impressively demonstrated how EO and modeling can contribute to the sustainable development of protected areas. Close cooperation between science and practice is essential to exploit this technology’s potential fully.

follow us and share it on:

you may also like:

A First Get-Together with the New EAGLE Generation 🦅

A First Get-Together with the New EAGLE Generation 🦅

A new EAGLE generation means new faces, new ideas, and the start of another journey in Earth Observation. And what better way to kick things off than with a relaxed evening at the pub? Our first social event brought together the new students, older EAGLE generations,...

An Evening with Professor Jarugu Narasimha Moorthy

An Evening with Professor Jarugu Narasimha Moorthy

It was a pleasure to have dinner with Professor Jarugu Narasimha Moorthy, who received an honorary doctorate from the Faculty of Chemistry and Pharmacy in recognition of his achievements. The ceremony took place on 29 September 2026 in the Chemistry Central Building....

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

Ecology or Sampling Bias? A Roadside Perspective on Invasion Risk

At the 2026 annual meeting of the AK Fernerkundung (German Working Group on Remote Sensing), which was hosted by the Thünen Institute in Braunschweig, our EORC team member Dr. Insa Otte presented research results on sampling bias in species distribution models in...

Space Days in Würzburg: EORC on site

Space Days in Würzburg: EORC on site

This Saturday turned out busier than we expected. At the Space Days at the University of Würzburg, Sarah Schoenbrodt-Stitt and Mirjana Bevanda represented EORC with a small booth, and the visitors were quite numerous. Students and colleagues stopped by, as expected....

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This