Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model | |
Zhao, Wei1,2![]() ![]() | |
Corresponding Author | Li, Ainong |
2017 | |
Source Publication | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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ISSN | 0196-2892 |
EISSN | 1558-0644 |
Volume | 55Issue:11Pages:6494-6504 |
Subtype | Article |
Abstract | Surface soil moisture (SSM) is a key state variable in controlling land surface energy balance and hydrological process. Based on the mechanism behind land surface temperature (LST)-vegetation index (VI) triangle space, an empirical relationship model has been proposed for SSM estimation with LST, NDVI, and surface albedo, and it has been applied in downscaling the coarse resolution microwave soil moisture product. In this paper, three soil moisture observation networks (REMEDHUS, MAQU, and MURRUMBIDGEE) were selected to evaluate the performance of this model at different climate and land cover conditions with in situ soil moisture measurements and Landsat satellite observations. According to the estimation results from different days for each network, it was found that the model was able to capture SSM variation with a satisfied accuracy [overall root-mean-squared error (RMSE) ranging from 0.025 to 0.055 m(3)/m(3)], and the R-2 can reach 0.9 on some individual days. However, the performance has high daily variability with some poor ones. The reason is partly attributed to the high sensitivity of the coefficients of the model to the variation degrees of the input LST, normalized difference vegetation index (NDVI), and SSM. Meanwhile, the spatial scale differences between the point measurement and satellite footprint observation are another important issue. To improve the model performance, a new relationship model was proposed by introducing the modified normalized difference water index, and the estimation results had a pronounced improvement (overall RMSE ranging from 0.021 to 0.049 m(3)/m(3)) compared with the previous model. The application effect of the proposed model showed that the model coefficient calibration accuracy greatly determined the uncertainty level of the estimation results. |
Keyword | Land Surface Temperature (Lst) Landsat Relationship Model Surface Soil Moisture (Ssm) Triangle Space |
WOS Headings | Science & Technology ; Physical Sciences ; Technology |
DOI | 10.1109/TGRS.2017.2728815 |
WOS Subject Extended | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
Indexed By | SCI |
WOS Keyword | DIFFERENCE WATER INDEX ; THERMAL INFRARED DATA ; REMOTELY-SENSED DATA ; EVAPOTRANSPIRATION ESTIMATION ; TIBETAN PLATEAU ; AMSR-E ; HIGH-RESOLUTION ; VEGETATION INDEX ; MODIS PRODUCTS ; GLOBAL-SCALE |
Language | 英语 |
Quartile | 2区 |
TOP | 是 |
WOS Subject | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS ID | WOS:000413656900038 |
Funding Organization | National Key Research and Development Program of China(2016YFA0600103) ; National Natural Science Foundation of China(41401425 ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment(SDSQB-2015-02) ; Open Fund of State Key Laboratory of Remote Sensing Science(OFSLRSS201503) ; Youth Innovation Promotion Association CAS(2016333) ; 41631180) |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.imde.ac.cn/handle/131551/19177 |
Collection | 数字山地与遥感应用中心 |
Affiliation | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China |
First Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
Recommended Citation GB/T 7714 | Zhao, Wei,Li, Ainong,Zhao, Tianjie. Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(11):6494-6504. |
APA | Zhao, Wei,Li, Ainong,&Zhao, Tianjie.(2017).Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(11),6494-6504. |
MLA | Zhao, Wei,et al."Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.11(2017):6494-6504. |
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