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A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data
Leng, Pei1; Li, Zhao-Liang1,2; Duan, Si-Bo1; Gao, Mao-Fang1; Huo, Hong-Yuan1
2017-09-01
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
Volume131Pages:40-51
Corresponding AuthorLi, Zhao-Liang(lizl@unistra.fr)
AbstractSoil moisture has long been recognized as one of the essential variables in the water cycle and energy budget between Earth's surface and atmosphere. The present study develops a practical approach for deriving all-weather soil moisture using combined satellite images and gridded meteorological products. In this approach, soil moisture over the Moderate Resolution Imaging Spectroradiometer (MODIS) clear sky pixels are estimated from the Vegetation Index/Temperature (VIT) trapezoid scheme in which theoretical dry and wet edges were determined pixel to pixel by China Meteorological Administration Land Data Assimilation System (CLDAS) meteorological products, including air temperature, solar radiation, wind speed and specific humidity. For cloudy pixels, soil moisture values are derived by the calculation of surface and aerodynamic resistances from wind speed. The approach is capable of filling the soil moisture gaps over remaining cloudy pixels by traditional optical/thermal infrared methods, allowing for a spatially complete soil moisture map over large areas. Evaluation over agricultural fields indicates that the proposed approach can produce an overall generally reasonable distribution of all-weather soil moisture. An acceptable accuracy between the estimated all-weather soil moisture and in-situ measurements at different depths could be found with an Root Mean Square Error (RMSE) varying from 0.067 m(3)/m(3) to 0.079 m(3)/m(3) and a slight bias ranging from 0.004 m(3)/m(3) to 0.011 m(3)/m(3). The proposed approach reveals significant potential to derive all-weather soil moisture using currently available satellite images and meteorological products at a regional or global scale in future developments. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
KeywordSoil moisture All-weather VIT trapezoid MODIS CLDAS meteorological products
DOI10.1016/j.isprsjprs.2017.07.013
WOS KeywordTHERMAL INFRARED DATA ; SURFACE-TEMPERATURE ; AIR-TEMPERATURE ; HIGH-RESOLUTION ; TRIANGLE METHOD ; ENERGY FLUXES ; TIME-SERIES ; L-BAND ; EVAPOTRANSPIRATION ; RETRIEVAL
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China[40601397] ; National Nature Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015M581210]
Funding OrganizationNational Nature Science Foundation of China ; China Postdoctoral Science Foundation
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000411775100004
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62032
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Zhao-Liang
Affiliation1.Chinese Acad Agr Sci, Minist Agr, Key Lab Agr Remote Sensing, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,et al. A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2017,131:40-51.
APA Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,Gao, Mao-Fang,&Huo, Hong-Yuan.(2017).A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,131,40-51.
MLA Leng, Pei,et al."A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 131(2017):40-51.
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