Scalable Water Balances from Earth Observations (SWEO)
results from 50 years of remote sensing in hydrology
Tim Hessels (IHE Delft Institute for Water Education, IrriWatch, TU Delft - Water Resources)
Jeffrey C. Davids (California State University, Chico, Davids Engineering)
W.G.M. Bastiaanssen (TU Delft - Water Resources, IrriWatch)
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Abstract
Strategic planning of water management at the river-basin scale requires (1) measurement and accounting of individual hydrological processes, (2) quantification of water resources, and (3) their optimal allocation. Scalable Water Balances from Earth Observations (SWEO) is an open-access parameterization enabling automated reporting of water footprints and Sustainable Development Goal (SDG) indicators. We present its systematic arrangement and input datasets, and demonstrate its accuracy by independent riverflow measurements. We also review some achievements in remote sensing for hydrology during the last 50 years in quantifying hydrological and water management processes, flows, fluxes and changes in storage from various independent sources; and append mathematical formulations.
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