The PhD project is based on remote sensing from Unmanned Airborne Vehicles (UAVs), environmental modeling and data assimilation. Data are acquired using a water laser ranger, a multi-spectral camera and a thermal camera mounted on lightweight unmanned airborne vehicles. Implementation of the payload on the UAVs, processing of the data and informing of hydrological models are the the main study areas. The main objective is to study water and energy fluxes from land and water surfaces, including evapotranspiration, with a spatial accuracy that has no parallel in other remote sensing technologies.
|Effective start/end date||01/05/2014 → 30/04/2017|
- UAVs drones remote sensing hydrology water