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Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 卷号: 242, 页码: 55-74
Authors:  Yao, Yunjun;  Liang, Shunlin;  Li, Xianglan;  Chen, Jiquan;  Liu, Shaomin;  Jia, Kun;  Zhang, Xiaotong;  Xiao, Zhiqiang;  Fisher, Joshua B.;  Mu, Qiaozhen;  Pan, Ming;  Liu, Meng;  Cheng, Jie;  Jiang, Bo;  Xie, Xianhong;  Gruenwald, Thomas;  Bernhofer, Christian;  Roupsard, Olivier
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Terrestrial evapotranspiration  Machine learning methods  Bayesian model averaging method  Plant functional type