Climate change is intensifying the frequency and severity of wildfires, posing a significant threat to forests worldwide. The Warm-Green project is funded as a DAAD PRIME Fellowship for Milad Asgarimehr in cooperation with Technische Universität Berlin, Universitat Politecnica de Catalunya, Barcelona, Spain, and Massachusetts Institute of Technology, USA.  This international project aims to revolutionize our understanding of vegetation water stress through the innovative use of GNSS Reflectometry (GNSS-R). By analyzing signals reflected from Earth's surface, this project seeks to monitor geophysical properties and study hydrological processes in vegetation, particularly under water deficit conditions.

The primary goal of the Warm-Green project is to investigate how GNSS-R can detect water stress and enhance our understanding of plant hydraulics. This involves two key objectives: technical characterization of GNSS-R's ability to detect diurnal cycles in vegetation water content (VWC) and exploring the response of these diurnal cycles to vegetation water stress. Leveraging GNSS-R datasets with high spatial and temporal resolution, such as those from NASA Cyclone (CYGNSS), the project will generate diurnal cycles of VWC.