文献类型: 会议论文
第一作者: Qian-Yu Liao
作者: Qian-Yu Liao 1 ; Pei Leng 2 ; Chao Ren 1 ; Zhao-Liang Li 2 ; Si-Bo Duan 2 ; Mao-Fang Gao 2 ; Xiao-Jing Han 2 ; Suchuang Di 3 ; Yajing Lu 3 ; Wanlai Xue 3 ;
作者机构: 1.College of Geomatics and Geoinformation, Guilin University of Technology
2.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
3.Beijing Water Science and Technology Institute
关键词: ET;MODIS;CLDAS;Pixel-to-pixel;Penman-Monteith
会议名称: IEEE International Geoscience and Remote Sensing Symposium
主办单位:
页码: 1833-1836
摘要: Evapotranspiration (ET) plays a key role for energy transfer and water circulation in the biosphere, lithosphere, hydrosphere, cryosphere and atmosphere. In present study, spatially complete ET over the Heihe river basin, Northwest of China, was estimated from the synergistic use of MODIS (MODerate-resolution Imaging Spectroradiometer) data and CLDAS (China Meteorological Administration Land Data Assimilation) gridded meteorological data from June 1 to September 15 in 2012. For the estimation of ET over clear-sky pixels, a pixel-to-pixel pattern of land surface temperature (LST)-vegetation index (VI) feature space was developed where meteorological data were used to determine the dry and wet edges for each pixel; whereas the traditional Penman-Monteith equation was implemented to obtain ET over clouds pixels. Finally, ground ET measurements collected at two sites (corn and orchard) were used to evaluate the estimated results, root mean square error (RMSE) of 77.2W/m~2 and 74.9W/m~2 can be obtained for the two sites, respectively, indicating that spatially complete ET can be derived from currently available satellite images and meteorological data.
分类号: TP7-53
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