A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data
文献类型：期刊论文
| 作者 | Tang, Ronglin2,3; Li, Zhao-Liang1,2,3; Liu, Meng1; Jiang, Yazhen2,3; Peng, Zhong2,3 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 280页码:11 |
| 关键词 | Evapotranspiration Evaporative fraction Surface temperature versus vegetation index triangle Moisture -based triangle |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2022.113212 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | Evapotranspiration (ET) is a primary process for water and heat transfer between the land and atmosphere. The spatial contextual information-based surface temperature versus vegetation index triangle (temperature-based triangle) is one of the most famous and widely applied methods for regional ET estimation from remotely sensed data. However, the determination of temporally variable satellite scene-specific dry and wet edges in this traditional triangle is often largely biased due to the limited range of variability of surface soil moisture avail-ability and fractional vegetation cover (or the nonexistence of end-member pixels), or must rely on the auxiliary ground-based measurements, leading to a large uncertainty or difficulty in regional evaporative fraction esti-mation. This short communication presents a practically operational moisture-based triangle to address the deficiency of the temperature-based triangle, where temporally universal dry and wet edges in this new triangle are determined by making use of the time-series slope of remotely sensed surface temperature versus vegetation index negative relationship over a small window centering the target pixel. Our validation results show that this new triangle outperformed the temperature-based triangle, reducing the root mean square error from 0.19 to 0.16 and increasing the coefficient of determination from 0.44 to 0.53, when the model-estimated evaporative fractions were validated against ground-based eddy covariance measurements at 34 sites across the globe. |
| WOS关键词 | MSG-SEVIRI DATA ; SOIL-MOISTURE ; EVAPOTRANSPIRATION ESTIMATION ; REGIONAL EVAPOTRANSPIRATION ; AIR-TEMPERATURE ; MODIS ; METHODOLOGIES ; VALIDATION ; MODELS ; SPACE |
| 资助项目 | National Natural Science Foundation of China[41922009] ; National Natural Science Foundation of China[42071332] ; National Natural Science Foundation of China[41921001] ; National Key R&D Program of China[2018YFA0605401] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000861388300004 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China ; National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185207]  |
| 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.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affaires, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Ronglin,Li, Zhao-Liang,Liu, Meng,et al. A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data[J]. REMOTE SENSING OF ENVIRONMENT,2022,280:11. |
| APA | Tang, Ronglin,Li, Zhao-Liang,Liu, Meng,Jiang, Yazhen,&Peng, Zhong.(2022).A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data.REMOTE SENSING OF ENVIRONMENT,280,11. |
| MLA | Tang, Ronglin,et al."A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data".REMOTE SENSING OF ENVIRONMENT 280(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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