IGSNRR OpenIR
Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods
Yang Yong-Min1,2; Qiu Jian-Xiu3; Su Hong-Bo1; Tian Jing1; Zhang Ren-Hua1
2018-08-01
Source PublicationJOURNAL OF INFRARED AND MILLIMETER WAVES
ISSN1001-9014
Volume37Issue:4Pages:459-+
Corresponding AuthorYang Yong-Min(starboy1986@126.com)
AbstractRemote sensing-based estimation of soil moisture is crucial in many aspects including basin scale water resource management, irrigation scheduling, regional scale drought monitoring and crop yield forecasting. In this study, we evaluate the potential of visible/thermal-infrared remote sensing in soil moisture estimation, by assessing the TVDI-based method and three categories of methods based on evaporative fraction/potential evaporation ratio (EFM1, EFM2 and EFM3). In combination with ASTER data set, soil moisture in middle reach of the Heihe River Basin is predicted by the above-mentioned four methods and validated by the ground-based measurements from eco-hydrological wireless sensor network and hydro meteorological observation network in the middle reach of Heihe river basin. Results indicate that uncertainties arise from the empiricism of the TVDI-based method in the process of determining dry and wet edges. On the other hand, the evaporation fraction/potential evaporation ratio methods can to some degree reduce the uncertainties, and among the three methods, EFM1 and EFM3 outperform EFM2. In addition, the thermal-infrared based methods require accurate soil parameters to reproduce the variation of soil moisture.
Keywordthermal remote sensing soil moisture middle reach of Heihe river basin
DOI10.11972/j.issn.1001-9014.2018.04.014
WOS KeywordENERGY-BALANCE ; SPATIAL VARIABILITY ; TRIANGLE METHOD ; INFRARED DATA ; EVAPOTRANSPIRATION ; VEGETATION ; MODEL ; TEMPERATURE ; RETRIEVAL ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectOpen Fund of the Key Laboratory of Water Cycle and Related Land Surface Processes, IGSNRR, CAS[2015A006] ; National Science Foundation of China[41501415] ; National Science Foundation of China[41501450] ; National Science Foundation of China[51420105014] ; IWHR Research & Development Support Program[JZ0145B032017] ; Natural Science Foundation of Guangdong Province, China[2016A030310154] ; Fundamental Research Funds for the Central Universities[161gpy06]
Funding OrganizationOpen Fund of the Key Laboratory of Water Cycle and Related Land Surface Processes, IGSNRR, CAS ; National Science Foundation of China ; IWHR Research & Development Support Program ; Natural Science Foundation of Guangdong Province, China ; Fundamental Research Funds for the Central Universities
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000448285000014
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52457
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang Yong-Min
Affiliation1.Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Minist Water Resources, China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Yang Yong-Min,Qiu Jian-Xiu,Su Hong-Bo,et al. Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES,2018,37(4):459-+.
APA Yang Yong-Min,Qiu Jian-Xiu,Su Hong-Bo,Tian Jing,&Zhang Ren-Hua.(2018).Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods.JOURNAL OF INFRARED AND MILLIMETER WAVES,37(4),459-+.
MLA Yang Yong-Min,et al."Estimation of surface soil moisture based on thermal remote sensing: Intercomparison of four methods".JOURNAL OF INFRARED AND MILLIMETER WAVES 37.4(2018):459-+.
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