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Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements
Zhao, Wei1,2; Li, Ainong1; Jin, Huaan1; Zhang, Zhengjian1,3; Bian, Jinhu1,3; Yin, Gaofei1
Corresponding AuthorLi, Ainong
2017
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume55Issue:5Pages:2632-2645
SubtypeArticle
Abstract

Surface soil moisture (SSM) is an important parameter at the land-atmosphere interface. In past decades, passive microwave remote sensing offers a good opportunity for obtaining SSM on a global scale, and many downscaling methods have been proposed using the triangle-based empirical soil moisture relationship models to overcome the limitation of coarse spatial resolution of its SSM products for regional applications. This paper aimed to examine and compare the effectiveness of five typical triangle-based empirical soil moisture relationship models for estimating SSM with Landsat-5 data and in situ measurements from the Maqu network on the northeastern part of the Tibetan Plateau for nine cloud-free days. The results showed that the model that treats the SSM as a second-order polynomial with land surface temperature, vegetation indices (VIs), and surface albedo as inputs exhibited the best performance compared with the results of other models. The VI comparison indicated that the use of the normalized difference VI or the fractional vegetation cover in this model outperformed other VIs, with the root-mean-square deviation of approximately 0.055 m(3)/m(3) and the coefficient of determination (R-2) above 0.78 at the nine-day average level. In addition, a significant spatial scale effect of the model was also found through analyzing the model fitting results at different window sizes. The study provides important insight into the best empirical relationship models for capturing soil moisture dynamics. These models can support the passive microwave soil moisture data spatial downscaling and validation applications in future studies.

KeywordEvaluation Landsat-5 Relationship Model Remote Sensing Soil Moisture
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2017.2649522
WOS Subject ExtendedGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordLAND-SURFACE TEMPERATURE ; WATER CONTENT ESTIMATION ; REMOTELY-SENSED DATA ; AMSR-E ; VEGETATION INDEX ; HIGH-RESOLUTION ; DOWNSCALING METHOD ; TIBETAN PLATEAU ; MODIS PRODUCTS ; DISAGGREGATION
Language英语
Quartile2区
TOP
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000399943400014
Funding OrganizationHundred Young Talents Program of the Institute of Mountain Hazards and Environment(SDSQB-2015-02) ; External Cooperation Program of BIC of Chinese Academy of Sciences(GJHZ201320) ; National Natural Science Foundation of China(41401425 ; Open Fund of State Key Laboratory of Remote Sensing Science(OFSLRSS201503) ; Youth Innovation Promotion Association CAS(2016333) ; 41571373)
Citation statistics
Cited Times:19[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18646
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, 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,Jin, Huaan,et al. Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(5):2632-2645.
APA Zhao, Wei,Li, Ainong,Jin, Huaan,Zhang, Zhengjian,Bian, Jinhu,&Yin, Gaofei.(2017).Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(5),2632-2645.
MLA Zhao, Wei,et al."Performance Evaluation of the Triangle-Based Empirical Soil Moisture Relationship Models Based on Landsat-5 TM Data and In Situ Measurements".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.5(2017):2632-2645.
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