IGSNRR OpenIR
Preliminary validation of two temporal parameter-based soil moisture retrieval models using a satellite product and in situ soil moisture measurements over the REMEDHUS network
Leng, Pei1; Song, Xiaoning2; Duan, Si-Bo1; Li, Zhao-Liang1,3
2016
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume37Issue:24Pages:5902-5917
Corresponding AuthorLi, Zhao-Liang(lizhaoliang@caas.cn)
AbstractThis study aims to preliminarily validate two newly developed temporal parameter-based surface soil moisture (SSM) retrieval models, namely the mid-morning model and daytime model, using both microwave satellite soil moisture product and in situ SSM measurements over a well-organized soil moisture network named REd de MEDicion de la HUmedad del Suelo (REMEDHUS) in Spain. Ground SSM measurements and geostationary satellite observations were primarily implemented to obtain the model coefficients for the two SSM retrieval models for each cloud-free day. These model coefficients were subsequently used to estimate SSM using the Meteosat Second Generation products over the study area. Preliminary verification using both a satellite product and in situ SSM measurements demonstrated that SSM variation can be well detected by both SSM retrieval models. Specifically, a generally similar accuracy (coefficient of determination R-2: 0.419-0.379, root mean square error: 0.046-0.051 m(3) m(-3), Bias: -0.020 to -0.025 m(3) m(-3)) was found for the mid-morning model and the daytime model with the microwave missions based climate change initiative SSM product, respectively. Moreover, except for the comparable R-2 (0.614-0.675), a better accuracy (Bias: 0.032-0.044 m(3) m(-3), RMSE: 0.043-0.050 m(3) m(-3)) are achieved for the daytime model and the mid-morning model with network SSM measurements, respectively. These results indicate that the daytime model exhibited generally comparable or better accuracy than that of the mid-morning model over the study area. This study has strengthened the feasibility of using multi-temporal information derived from the geostationary satellites to estimate SSM in future research.
DOI10.1080/01431161.2016.1253896
WOS KeywordTHERMAL INFRARED DATA ; SURFACE EMISSIVITY RETRIEVAL ; MODIS DATA ; REFLECTANCE ; TEMPERATURE ; VEGETATION ; INDEXES ; SMOS
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015M581210]
Funding OrganizationNational Nature Science Foundation of China ; China Postdoctoral Science Foundation
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000388599500012
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65642
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, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Leng, Pei,Song, Xiaoning,Duan, Si-Bo,et al. Preliminary validation of two temporal parameter-based soil moisture retrieval models using a satellite product and in situ soil moisture measurements over the REMEDHUS network[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016,37(24):5902-5917.
APA Leng, Pei,Song, Xiaoning,Duan, Si-Bo,&Li, Zhao-Liang.(2016).Preliminary validation of two temporal parameter-based soil moisture retrieval models using a satellite product and in situ soil moisture measurements over the REMEDHUS network.INTERNATIONAL JOURNAL OF REMOTE SENSING,37(24),5902-5917.
MLA Leng, Pei,et al."Preliminary validation of two temporal parameter-based soil moisture retrieval models using a satellite product and in situ soil moisture measurements over the REMEDHUS network".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.24(2016):5902-5917.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Leng, Pei]'s Articles
[Song, Xiaoning]'s Articles
[Duan, Si-Bo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Leng, Pei]'s Articles
[Song, Xiaoning]'s Articles
[Duan, Si-Bo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Leng, Pei]'s Articles
[Song, Xiaoning]'s Articles
[Duan, Si-Bo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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