As climate change intensifies, the need for accurate monitoring of vegetation water content becomes critical, yet current methods are either labor-intensive or limited in scope and precision. This project proposes a UAV-based dual-wavelength LiDAR system that can sense vegetation in 3D, independent of sunlight or cloud cover, offering high precision in assessing leaf water content across large areas. By enabling detailed, reliable monitoring of plant health under any conditions, this technology promises to facilitate precision agriculture, urban green management, and our understanding of climate impacts.
| Associated researchers | Maximilian Fabi, Teja Kattenborn |
| Collaborators | INATECH, Fraunhofer IPM |
| Duration | 2024-2027 |
| Funding | German Research Foundation – DFG (via via SPP2433) |