An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data
文献类型：期刊论文
| 作者 | Tang, Ronglin1,3; Li, Zhao-Liang1,2,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 55期号:10页码:5818-5832 |
| 关键词 | End-member evapotranspiration (ET) large aperture scintillometer (LAS) MODIS two-source model |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2017.2715361 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | Evapotranspiration (ET) is one of the key variables in the water and energy exchange between land surface and atmosphere. This paper develops an end-member-based two-source approach for estimating land surface ET (i.e., the ESVEP model) from remote sensing data, considering the differing responses of soil water content at the upper surface layer to soil evaporation and at the deeper root zone layer to vegetation transpiration. The ESVEP model first diverges the soil-vegetation system net radiation into soil and vegetation components by considering the transmission of direct and diffuse shortwave radiation separately from the transmission of longwave radiation through the canopy, then calculates the four dry/wet soil/vegetation end-members with the diverged soil and vegetation net radiations, and last separates soil evaporation from vegetation transpiration based on the two-phase ET dynamics and the four end-member temperatures. The model can overall produce reasonably good surface energy fluxes and is no more sensitive to meteorology, vegetation, and remote sensing inputs than other two-source energy balance models and surface temperature versus vegetation index (T-R-VI) trapezoid models. A reasonable agreement could be found with a small bias of +/- 8 W/m(2) and a root-mean-square error within 60 W/m(2) (comparable to accuracies published in other studies) when both model-estimated sensible heat flux and latent heat flux from MODIS remote sensing data are validated with ground-based large aperture scintillometer measurements. |
| WOS关键词 | LARGE-APERTURE SCINTILLOMETER ; THERMAL INFRARED DATA ; SOIL HEAT-FLUX ; ENERGY-BALANCE ; TEMPERATURE OBSERVATIONS ; RADIOMETRIC TEMPERATURE ; SATELLITE IMAGERY ; EDDY-COVARIANCE ; AIR-TEMPERATURE ; NET-RADIATION |
| 资助项目 | National Natural Science Foundation of China[41571351] ; National Natural Science Foundation of China[41571367] ; National Natural Science Foundation of China[41201366] ; International Science and Technology Cooperation Program of China[2014DFE10220] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000413653200032 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; International Science and Technology Cooperation Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61124]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhao-Liang |
| 作者单位 | 1.Univ CAS, Beijing 100049, Peoples R China 2.Chinese Acad Agr Sci, Key Lab Agri Informat, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Ronglin,Li, Zhao-Liang. An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(10):5818-5832. |
| APA | Tang, Ronglin,&Li, Zhao-Liang.(2017).An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(10),5818-5832. |
| MLA | Tang, Ronglin,et al."An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.10(2017):5818-5832. |
入库方式： OAI收割
来源：地理科学与资源研究所
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