Assimilation of remotely sensed observations into land surface models to improve surface condition estimates Ghent University
This project aims at improving the state estimation of the land surface at a regional to a global scale. This will allow to optimize weather and climate predictions or to monitor floods and droughts. New remote sensing observations (satellite, from space) play a crucial role in this project.