Satellite-based earth observation provides new hydrological data types. Examples include actual evapotranspiration from multispectral imagery, soil moisture from active and passive microwave missions, inland water levels from radar altimetry and total water storage change from satellite gravimetry. Such data types can be combined with regional-scale hydrological models using data assimilation approaches. Hydrological models informed with satellite data ultimately provide more robust predictions for water resources mangement applications and flood forecasting.
Together with DHI, DHI GRAS and other project partners, we work on the integration of multi-mission remote sensing datasets with hydrologic/hydrodynamic simulators. We work both on remote sensing data processing (with a focus on satellite radar altimetry for water surface elevation and SAR for surface water extent) and on model development, using DHI software and our own open-source developments.
Projects can focu
s on methodological aspects, model development or case study applications for specific regions. The following papers on the Ogooué
give a good overview of the activities.
You can also check the http://www.eoforchina.env.dtu.dk
/ for more information.