Doctoral project Hans Lievens

Doctoral project Brecht Martens

Dynamics in mountain snow water resources by modes of climate variability assessed from satellite observations

Exploring the potential of future radar satellite missions for hydrological applications.

Hydrological modelling of ungauged catchments

Integration of modelled spatio-temporal groundwatertable data in the SWAT+ model as a solution for improved discharge predictions during dry periods

Optimalisation of a conceptual hydrological model for prediction in ungauged basins

Optimization of hydrological model predictions using hybrid models

Snow mass retrieval by training machine learning algorithms with earth observation data

Water and vegetation tower radar experiments for improved climate monitoring

Snow mass observation based on EO data and machine learning - SNOWTRANE

Soil moisture retrieval from radar and radiometer remote sensing in support of water management