Research
Research projects:
Duration: 2022-2025
Funder: Swedish National Space Agency
Project lead: Lund University (Minchao Wu)
This project employs multiple observations from high-resolution remote-sensing images and eddy-covariance measurement to improve the modelling of sub-seasonal vegetation dynamics and climate in Africa