Remote sensing estimation of evapotranspiration in large scale basin based on surface energy balance
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Abstract:
Evapotranspiration (ET) is the key link between land surface energy balance and water movement.Accurate estimation of ET on basin scale is of great significance to climate change studies,water resources management,crop yield estimation and environmental protection.Combining the climate characteristics,land use types and vegetation dynamics in the middle and high latitudes of China,an ET estimation model was proposed based on Surface Energy Balance System (SEBS)..The model was then applied to the Songhua River basin to estimate ET.The estimation accuracy of the model was validated by the water balance and ecological observations in the basin,and MTE data of global flux observation network.The simulation accuracy of the model was also evaluated by cross-validation of a land surface process model and NASA MOD16 ET .The results show that the improved SEBS model has a high accuracy in estimating the ET in Songhua River and Liaohe River basins in China,but the accuracy is not uniform in the whole country;The model is a reasonable method for estimating the ET in the middle and high latitudes of China;The spatial and temporal changes of the Songhua River basin show that the total ET in the basin has been relatively stable in recent years,but with a spatial variation.
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