Abstract
AbstractEvapotranspiration is an important part of the surface water cycle. Because Poyang Lake has unique water balance laws in different years, and traditional methods cannot effectively retrieve lake-wide evapotranspiration data, the inversion of lake evapotranspiration data has become an urgent problem to be solved. Based on MODIS data, CLDAS data and RS-NP remote sensing inversion model to obtain evapotranspiration data in the Poyang Lake area, the accuracy verification of the calculation results shows that the RS-NP inversion model has high accuracy and good applicability in the experimental area. The average error is 6.74 W/m2, the relative error percentage is 22.99%, and the root mean square error is 16.82 W/m2. The variation law of evapotranspiration in different hydrological years is summer > spring > autumn > winter. The relationship between the spatial distribution range of evapotranspiration in three typical hydrological years is: wet year > normal water year > dry year, and the relationship between the average annual evapotranspiration value is also Rainy years > normal water years > dry years. It has been verified that shortwave downward radiation on the surface has a greater impact on evapotranspiration.KeywordsHydrologic yearEvapotranspirationMulti-Source remote sensing
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