Julian Fäth

Dr. Julian Fäth is a Research Fellow at the Chair of Remote Sensing within the Institute of Geography and Geology at the University of Würzburg. Since May 2024, he has been leading the main working package "Forestry" in the EO4CAM project. His academic career spans forest science, remote sensing, and environmental geophysics with a focus on forest hydrology and soil moisture dynamics across temperate forest ecosystems in Germany.

His educational background includes:

• PhD in Forest Nutrition and Water Balance from the Technical University of Munich (2017-2021)
• Studies in Forestry Science at the Technical University of Munich (2011-2017)

Dr. Fäth's research focuses on applying geophysical methods, particularly electrical resistivity tomography (ERT), to monitor soil moisture fluctuations in forest ecosystems. His work bridges remote sensing technologies with traditional forestry practices to understand how forests respond to climate change, particularly drought stress. He investigates the complex interactions between soil properties, water availability, and tree health in temperate forests across Germany, with particular attention to beech decline under recurrent drought conditions.

His publication record shows a strong trend toward integrating multiple monitoring approaches for soil moisture and forest hydrology. Recent work emphasizes 2D and 3D ERT techniques combined with traditional hydrological measurements to create comprehensive understanding of water dynamics in forest soils. His research increasingly addresses climate change impacts on forest ecosystems, particularly beech decline under recurrent drought stress, examining how individual neighborhood structure and soil properties influence tree survival.

Dr. Fäth has been involved in several significant research projects including the EO4CAM project where he leads the forestry component. His collaborative work spans multiple institutions including the University of Würzburg and the Technical University of Munich. His research has practical applications for sustainable forest management under changing climatic conditions, providing critical insights for forest managers facing increasing drought frequency and intensity.