Cooperation agreement for the preparation of dynamic water balances with calculation of scenarios for a climate-robust East Flemish water policy

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

SNOW-MODE: Dynamics in mountain snow water resources by modes of climate variability assessed from satellite observations

Bias adjustment of climate model outputs for the stochastic generation of meteorological variables and river discharge.

Developing water allocation tools and strategies for an integrated and sustainable surface and groundwater management in the Lake Tana basin

Doctoral project Brecht Martens

Doctoral project Charlotte Buyse

Doctoral project Dominik Rains

Doctoral project Hans Lievens

Doctoral project Katrien Van Eerdenbrugh

Doctoral project Lien Loosvelt

Doctoral project Martinus van den Berg

Doctoral project Minh Tu Pham

Doctoral project Sacha Gobeyn

Doctoral project Sivee Chawla

Doctoral project Willem Vanhaute

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

Compound extreme climate events: conceptual definitions, statistical identification,  ecological and agronomical effects.

Doctoral project Reyes Martin-Gonzalez

Improving global evaporation estimates using satellite gravimetry observations

Assessing evaporation under water limited conditions using machine learning and remote sensing

Assimilation of remotely sensed observations into land surface models to improve surface condition estimates

Beyond BELSAR bistatic dataset exploitation - BELSAR-Publication

Copula-based models for design storms

Development of a clustering strategy for computational efficient, physically based, hydrologic modelling

Development of a drought monitoring and early-warning system for the central highlands of Vietnam

Ecohydrological assessment of an old growth native evergreen forest and Eucalyptus nitens plantation covered catchments

Flood mapping and soil moisture retrieval for improved water management

Improving drought monitoring through assimilating multi-source remote sensing observations in hydrologic models

Improving epideiological modelling using satellite derived soil moisture proxies

Improving flood forecasting based on optimized flood mapping from radar images

Improving the accuracy of flood inundation forecasts through remote sensing and in situ measurements

Integration or fusion of in situ and earth observation data to support water management decision tool

Investigating the use of rainfall simulators for making flood risk maps

Past climate extremes and their impact on the terrestrial carbon cycle

PRODEX Experiment Agreement

SMOS + Hydrology Study

Soil and crop monitoring from simultaneous mono- and bistatic radar observations (BELSAR)

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

Spatial scaling uncertainty of hydrologic variables based on remote sensing observations

STEREO III: Vegetation stress from satellite observations of fluorescence

Stochastic modelling of future extreme discharges as a tool for water resources engineering

Stochastic rainfall generation accounting for climate changes

STSE SMOS+ ET II

Technical assistance for the deployment of an L-band SAR system to perform bistatic and interferometric SAR measurements during the 2015/2016 ESA BELSAR campaign

Uncertainty propagation in rainfall-runoff models due to inaccurate model parameters

Water and vegetation tower radar experiments for improved climate monitoring

Towards Reliable Land Cover Change Detection from Multi-Sensor Data (REALISE)