Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method
文献类型：期刊论文
| 作者 | Li, Xianglan15; Zhang, Yuhu14; Chen, Jiquan13; Jia, Kun1; Zhang, Xiaotong1; Fisher, Joshua B.12; Wang, Xuanyu1; Zhang, Lilin1; Xu, Jia1; Shao, Changliang13 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 553页码:508-526 |
| 关键词 | Terrestrial evapotranspiration Eddy covariance Fusion method Landsat data High-resolution products |
| 英文摘要 | Estimation of high-resolution terrestrial evapotranspiration (ET) from Landsat data is important in many climatic, hydrologic, and agricultural applications, as it can help bridging the gap between existing coarse-resolution ET products and point-based field measurements. However, there is large uncertainty among existing ET products from Landsat that limit their application. This study presents a simple Taylor skill fusion (STS) method that merges five Landsat-based ET products and directly measured ET from eddy covariance (EC) to improve the global estimation of terrestrial ET. The STS method uses a weighted average of the individual ET products and weights are determined by their Taylor skill scores (S). The validation with site-scale measurements at 206 EC flux towers showed large differences and uncertainties among the five ET products. The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2-5 W/m(2) when compared to the individual products. To evaluate the reliability of the STS method at the regional scale, the weights of the STS method for these five ET products were determined using EC ground-measurements. An example of regional ET mapping demonstrates that the STS-merged ET can effectively integrate the individual Landsat ET products. Our proposed method provides an improved high-resolution ET product for identifying agricultural crop water consumption and providing a diagnostic assessment for global land surface models. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| 研究领域[WOS] | Engineering ; Geology ; Water Resources |
| 关键词[WOS] | LATENT-HEAT FLUX ; LEAF-AREA INDEX ; REMOTE-SENSING OBSERVATIONS ; BALANCE CLOSURE PROBLEM ; ISLSCP-II DATA ; EDDY-COVARIANCE ; SURFACE-ENERGY ; SATELLITE-OBSERVATIONS ; TIBETAN PLATEAU ; CARBON-DIOXIDE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000412612700040 |
| 源URL | [http://ir.nwipb.ac.cn/handle/363003/9819]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 2.Univ Nebraska, Dept Biol Syst Engn, Lincoln, NE 68583 USA 3.ETH, Dept Environm Syst Sci, Zurich, Switzerland 4.Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0608589, Japan 5.CSIRO Land & Water, Floreat, WA 6014, Australia 6.Alfred Wegener Inst Polar & Marine Res, Telegrafenberg A43, D-14473 Potsdam, Germany 7.Wageningen Univ & Res, Wageningen Environm Res, Wageningen, Netherlands 8.Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow 119071, Russia 9.CNR, Inst Mediterranean Forest & Agr Syst, Via Patacca 85, I-80040 Naples, Italy 10.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Qinghai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xianglan,Zhang, Yuhu,Chen, Jiquan,et al. Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method[J]. JOURNAL OF HYDROLOGY,2017,553:508-526. |
| APA | Li, Xianglan.,Zhang, Yuhu.,Chen, Jiquan.,Jia, Kun.,Zhang, Xiaotong.,...&Gielen, Bert.(2017).Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method.JOURNAL OF HYDROLOGY,553,508-526. |
| MLA | Li, Xianglan,et al."Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method".JOURNAL OF HYDROLOGY 553(2017):508-526. |
入库方式： OAI收割
来源：西北高原生物研究所
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