Progress in Application of Remote Sensing Data in Hydrological Simulation
Hydrological model is a powerful tool in wateprelated studies,which experienced three stages development:originated as black-box models,and then progressed as lumped conceptual models,currently became as physical-based distributed models.Remote sensing technology,due to its advantages of spatially-distributed observation,ready accessibility and relative long continuous data recording,has been widely applied in hydrological simulations.In recent years,remote sensing data has made great progress in some areas like detection capability,reliability,multi-source data fusion and satellite constellations.There are generally three ways of applying remote sensing in hydrologic simulations,namely forcing data acquisition,parameter extraction and state variables diagnosis.With the development of data assimilation in recent years,assimilating remote sensing observations into hydrological models to improve the simulation results has been a research hotpot.At present,there are still several challenges in promoting further application of remote sensing in hydrology studies,such as high uncertainties,scale effects,instantaneous measurement,and difficulty to get the information of deeper soil layer.To make the full use of remote sensing data that are obtained from multiple sources and of various resolutions will be an important future direction of hydrology research.
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万方数据
维普
