Generation of continuous surface soil moisture dataset using combined optical and thermal infrared images
文献类型：期刊论文
| 作者 | Leng, Pei1; Song, Xiaoning2; Duan, Si-Bo1; Li, Zhao-Liang1,3
|
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2017-03-15 |
| 卷号 | 31期号:6页码:1398-1407 |
| 关键词 | Meteosat Second Generation (MSG) REMEDHUS surface soil moisture (SSM) time-invariable coefficients |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.11113 |
| 通讯作者 | Li, Zhao-Liang(lizl@unistra.fr) |
| 英文摘要 | Surface soil moisture (SSM) is a critical variable for understanding water and energy flux between the atmosphere and the Earth's surface. An easy to apply algorithm for deriving SSM time series that primarily uses temporal parameters derived from simulated and in situ datasets has recently been reported. This algorithm must be assessed for different biophysical and atmospheric conditions by using actual geostationary satellite images. In this study, two currently available coarse-scale SSM datasets (microwave and reanalysis product) and aggregated in situ SSM measurements were implemented to calibrate the time-invariable coefficients of the SSM retrieval algorithm for conditions in which conventional observations are rare. These coefficients were subsequently used to obtain SSM time series directly from Meteosat Second Generation (MSG) images over the study area of a well-organized soil moisture network named REMEDHUS in Spain. The results show a high degree of consistency between the estimated and actual SSM time series values when using the three SSM dataset-calibrated time-invariable coefficients to retrieve SSM, with coefficients of determination (R-2) varying from 0.304 to 0.534 and root mean square errors ranging from 0.020m(3)/m(3) to 0.029m(3)/m(3). Further evaluation with different land use types results in acceptable debiased root mean square errors between 0.021m(3)/m(3) and 0.048m(3)/m(3) when comparing the estimated MSG pixel-scale SSM with in situ measurements. These results indicate that the investigated method is practical for deriving time-invariable coefficients when using publicly accessed coarse-scale SSM datasets, which is beneficial for generating continuous SSM dataset at the MSG pixel scale. |
| WOS关键词 | TEMPORAL EVOLUTION ; WATER CONTENT ; TEMPERATURE ; INDEX ; VEGETATION ; MODEL ; EVAPOTRANSPIRATION ; SENSITIVITY ; RETRIEVAL ; ALGORITHM |
| 资助项目 | National Nature Science Foundation of China[41601397] ; National Nature Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015M581210] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000395628600015 |
| 出版者 | WILEY |
| 资助机构 | National Nature Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64705]  |
| 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, Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, 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 | Leng, Pei,Song, Xiaoning,Duan, Si-Bo,et al. Generation of continuous surface soil moisture dataset using combined optical and thermal infrared images[J]. HYDROLOGICAL PROCESSES,2017,31(6):1398-1407. |
| APA | Leng, Pei,Song, Xiaoning,Duan, Si-Bo,&Li, Zhao-Liang.(2017).Generation of continuous surface soil moisture dataset using combined optical and thermal infrared images.HYDROLOGICAL PROCESSES,31(6),1398-1407. |
| MLA | Leng, Pei,et al."Generation of continuous surface soil moisture dataset using combined optical and thermal infrared images".HYDROLOGICAL PROCESSES 31.6(2017):1398-1407. |
入库方式： OAI收割
来源：地理科学与资源研究所
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