A Statistical Analysis of the Remotely Sensed Land Surface Temperature-Vegetation Index Method for the Retrieval of Evaporative Fraction Over Grasslands in the Southern Great Plains
文献类型：期刊论文
| 作者 | Zhu, Wenbin; Jia, Shaofeng; Lv, Aifeng |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2019-08-01 |
| 卷号 | 12期号:8页码:2889-2896 |
| 关键词 | Evaporative fraction (EF) land surface temperature moderate resolution imaging spectroradiometer (MODIS) optimization method triangle method vegetation index |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2019.2917183 |
| 通讯作者 | Zhu, Wenbin(zhuwb@igsnrr.ac.cn) |
| 英文摘要 | The triangle method based on the spatial relationship between remotely sensed (RS) land surface temperature and vegetation index (TVX) has been widely used for the estimation of evaporative fraction (EF). Combing moderate resolution imaging spectroradiometer and in situ EF observations, the physical constraint and theoretical accuracy of the TVX method is investigated in this paper through statistical analysis. In theory, the physical constraint of the TVX method is mathematically solvable by using EF measurements as inputs. However, our research suggests that nearly 90% of its solutions are meaningless to retrieve the spatial distribution of EF. Instead, we propose an optimization method to retrieve the spatial distribution of EF over a large heterogeneous area from a limited number of in situ EF observations. Results show that the new method using just one site for calibration has an accuracy comparable with those produced by the traditional TVX method. Its robustness is also demonstrated by its applicability under partially cloudy sky conditions. The accuracy of this optimization method increases with the number of sites used for calibration, but there is an upper limit. Besides, when all sites are used for calibration, the accuracy produced represents the upper limit of the accuracy of the TVX method. Thus, the proposed method also provides a perspective to evaluate the theoretical accuracy of RS-based EF models. |
| WOS关键词 | SOIL-MOISTURE ; EVAPOTRANSPIRATION MODEL ; TRIANGLE METHOD ; HEAT-FLUX ; OBTAINABLE VARIABLES ; ALGORITHM ; COVER ; MODIS ; NDVI |
| 资助项目 | National Natural Sciences Foundation of China[41701485] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000487530100025 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Sciences Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/129796]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, Wenbin |
| 作者单位 | Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Wenbin,Jia, Shaofeng,Lv, Aifeng. A Statistical Analysis of the Remotely Sensed Land Surface Temperature-Vegetation Index Method for the Retrieval of Evaporative Fraction Over Grasslands in the Southern Great Plains[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(8):2889-2896. |
| APA | Zhu, Wenbin,Jia, Shaofeng,&Lv, Aifeng.(2019).A Statistical Analysis of the Remotely Sensed Land Surface Temperature-Vegetation Index Method for the Retrieval of Evaporative Fraction Over Grasslands in the Southern Great Plains.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(8),2889-2896. |
| MLA | Zhu, Wenbin,et al."A Statistical Analysis of the Remotely Sensed Land Surface Temperature-Vegetation Index Method for the Retrieval of Evaporative Fraction Over Grasslands in the Southern Great Plains".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.8(2019):2889-2896. |
入库方式： OAI收割
来源：地理科学与资源研究所
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