IMHE OpenIR  > 数字山地与遥感应用中心
Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model
Zhao, Wei1,2; Li, Ainong1; Zhao, Tianjie2
Corresponding AuthorLi, Ainong
2017
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume55Issue:11Pages:6494-6504
SubtypeArticle
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.

KeywordLand Surface Temperature (Lst) Landsat Relationship Model Surface Soil Moisture (Ssm) Triangle Space
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2017.2728815
WOS Subject ExtendedGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordDIFFERENCE 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
Quartile2区
TOP
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000413656900038
Funding OrganizationNational 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
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19177
Collection数字山地与遥感应用中心
Affiliation1.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.
Files in This Item:
File Name/Size DocType Version Access License
Potential of Estimat(7931KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Wei]'s Articles
[Li, Ainong]'s Articles
[Zhao, Tianjie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Wei]'s Articles
[Li, Ainong]'s Articles
[Zhao, Tianjie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Wei]'s Articles
[Li, Ainong]'s Articles
[Zhao, Tianjie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Potential of Estimating Surface Soil Moisture With the Triangle-Based Empirical Relationship Model.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.