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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
Favorite  |  View/Download:1/0  |  Submit date:2019/09/25
Terrestrial evapotranspiration  Machine learning methods  Bayesian model averaging method  Plant functional type  
全球气候数据集生成及气候变化应用研究 中文期刊论文
2016
Authors:  梁顺林;  唐世浩;  张杰;  徐冰;  程洁;  程晓;  宫鹏;  贾坤;  江波;  李爱农;  刘素红;  邱红;  肖志强;  谢先红;  杨军;  杨俊刚;  姚云军;  于贵瑞;  张晓通;  赵祥
View  |  Adobe PDF(1472Kb)  |  Favorite  |  View/Download:130/43  |  Submit date:2017/11/07
定量遥感  气候数据集  气候变化