EOAgriTwin

Europe houses a diverse agricultural system, ranging from fruits to staple crops such as wheat. These systems are increasingly exposed to multiple stressors, including extreme weather events and evolving management practices, highlighting the need for improved monitoring and decision-making tools. The EOAgriTwin project aims to develop a high-resolution digital twin of European agricultural systems to enhance our understanding of biotic and abiotic stressors and assess the impact of management practices across different scales. The project leverages advanced remote sensing and deep learning techniques to improve agricultural monitoring. A key focus is developing workflows for field delineation and evapotranspiration estimation using satellite data from Copernicus Sentinel-2 and Sentinel-3. These workflows will provide critical insights into field-level irrigation water consumption and drought response monitoring, supporting a deeper understanding of agricultural dynamics and resource management. EOAgriTwin is a collaboration between Humboldt-Universität zu Berlin, the Leibniz Centre for Agricultural Landscape Research (ZALF), Remote Sensing Solutions GmbH (RSS), and Università Cattolica del Sacro Cuore (UCSC). Please visit the project website for more information and recent updates: https://www.eoagritwin.eu

Funding

European Space Agency (ESA)

Project Partner

Leibniz Centre for Agricultural Landscape Research (ZALF) Remote Sensing Solutions GmbH (RSS) Università Cattolica del Sacro Cuore (UCSC)

Project members

Patrick Hostert (Principle investigator)
Philippe Rufin (Principle investigator)
Florian Pötzschner (Project scientist)
Shreya Wadhwa (Student assistant)
Simon Hahn (Student assistant)