HESS Hydrology and Earth System Sciences HESS Hydrol. Earth Syst. Sci. 1607-7938 Copernicus Publications Göttingen, Germany 10.5194/hess-13-1775-2009 Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland Jia L. 1 2 Xi G. 3 Liu S. 4 Huang C. 5 Yan Y. 6 Liu G. 5 Alterra, Wageningen University and Research Centre, The Netherlands State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China National Marine Data & Information Service, Tianjin, China State key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, China Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China China National Climate Centre, Beijing, China 05 10 2009 13 10 1775 1787 Copyright: © 2009 L. Jia et al. 2009 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://hess.copernicus.org/articles/13/1775/2009/hess-13-1775-2009.html The full text article is available as a PDF file from https://hess.copernicus.org/articles/13/1775/2009/hess-13-1775-2009.pdf

Evapotranspiration (ET) from the wetland of the Yellow River Delta (YRD) is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces. Reliable estimates of the total evapotranspiration from the wetland is useful information both for understanding the hydrological process and for water management to protect this natural environment. Due to the heterogeneity of the vegetation types and canopy density and of soil water content over the wetland (specifically over the natural reserve areas), it is difficult to estimate the regional evapotranspiration extrapolating measurements or calculations usually done locally for a specific land cover type. Remote sensing can provide observations of land surface conditions with high spatial and temporal resolution and coverage. In this study, a model based on the Energy Balance method was used to calculate daily evapotranspiration (ET) using instantaneous observations of land surface reflectance and temperature from MODIS when the data were available on clouds-free days. A time series analysis algorithm was then applied to generate a time series of daily ET over a year period by filling the gaps in the observation series due to clouds. A detailed vegetation classification map was used to help identifying areas of various wetland vegetation types in the YRD wetland. Such information was also used to improve the parameterizations in the energy balance model to improve the accuracy of ET estimates. <br><br> This study showed that spatial variation of ET was significant over the same vegetation class at a given time and over different vegetation types in different seasons in the YRD wetland.

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