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Summary of Proposal HYD2317

TitleMonitoring of Soil Moisture and Crop State in the Heihe River Basin
Investigator Hajnsek, Irena - German Aerospace Center, Microwaves and Radar Institute
Team Member
Mr. Zwieback, Simon - ETH Zurich, Institute of Environmental Engineering
Dr. Wang, Haijing - ETH Zurich, Institute of Environmental Engineering
Prof. Li, Xin - Cold and Arid Regions Environmental and Engineering Research Institute (CAREERI), Director of Laboratory of Remote Sensing and Geospatial Science
Dr. Wang, Shuguo - Cold and Arid Regions Environmental and Engineering Research Institute (CAREERI), Laboratory of Remote Sensing and Geospatial Science at CAREERI
SummaryThe agricultural cultivation of maize and wheat in the Heihe river basin puts considerable stress on the water resources in the region. With water demand likely to further increase in the future due to the growth of population and increasingd food demand, water scarcity issues call for an improved management of the limited water resources. A rational water allocation requires detailed accounting of the water balance in the region. An important piece of information to complete the water balance is to map the spatio-temporal variation of soil moisture of the region, which is only feasible using radar remote sensing, in connection with validation from field measurements. The river Heihe is the second longest inland river in China. The HiWater (Heihe Watershed Allied Telemetry Experimental Research) project is implemented in the Heihe river basin. This project is a simultaneous airborne, satellite-borne and ground-based remote sensing experiment that can provide fruitful data sets over the Heihe River Basin that can be used for the validation of retrieval algorithms and results. This proposed study will assess the accuracy and potential of using TerraSAR-X imageries to extract soil moisture and studying vegetation dynamics for operational practice. Different retrieval algorithms will be tested and results will be compared to the field measurements. The best-performing algorithm will be validated with further measurement. The retrieved information will be fed into a real-time hydrological modelling system to close the water balance in the model. The accuracy and reliability of the retrieved parameters will be tested.

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