IMHE OpenIR  > 数字山地与遥感应用中心
Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations
Zhao, Wei1; Sanchez, Nilda2; Li, Ainong1
2018
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume56Issue:8Pages:4546-4558
SubtypeArticle
AbstractTogether with the continuous development of passive microwave surface soil moisture (SSM) products from newly launched satellites, it is necessary to perform reliable validations to assess their accuracy. With this aim, a new "bottom-up" validation approach is proposed based on the synergistic use of in situ SSM measurements from the soil moisture measurement station network (REMEDHUS) of the University of Salamanca, Salamanca, Spain, and optical/thermal infrared observations over 18 cloud-free days from Landsat-8. An SSM estimation method using the boundary information from the land surface temperature and normalized difference vegetation index triangle space was developed for regional SSM mapping. The retrieved SSM reached a relatively good performance (mean R 2 and rootmean-squared error of 0.64 and 0.033 ne/m(3), respectively). Then, the regional SSM was aggregated into the grid-cell scale of the Advanced Microwave Scanning Radiometer 2 (AMSR2) L3 high-resolution (0.1 degrees /10 km) soil moisture product to validate it both at network and grid-cell levels. At the network level, the derived regional SSM showed a good agreement with the averaged in situ measurements over the network (R = 0.731). However, at the grid-cell level, small variations were observed for the cells over the network between the estimates and the AMSR2 product, with negative biases (-0.044 to -0.090 m(3)/m(3)) and positive correlations (R > 0.25) for most cells. In addition, it is shown that the descending product has a slightly better performance than does the ascending one. The preliminary assessments suggested that the proposed method provides new insights into the validation of passive microwave soil moisture products, while avoiding the common issue related to the big disparity in spatial scales between satellite observation and in situ measurements.
KeywordAdvanced Microwave Scanning Radiometer 2 (AMSR2) Landsat-8 REMEDHUS surface soil moisture (SSM) triangle space validation
DOI10.1109/TGRS.2018.2825284
Indexed BySCI
WOS KeywordWATER CONTENT ESTIMATION ; REMEDHUS NETWORK SPAIN ; AMSR-E ; TEMPERATURE RETRIEVAL ; HIGH-RESOLUTION ; LAND OBSERVATIONS ; VEGETATION INDEX ; TIBETAN PLATEAU ; SINGLE-CHANNEL ; MODIS PRODUCTS
Language英语
Quartile2区
Funding ProjectNational Natural Science Foundation of China[41771409] ; National Natural Science Foundation of China[41631180] ; National Key Research and Development Program of China[2016YFA0600103] ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment[SDSQB-2015-02] ; Youth Innovation Promotion Association CAS[2016333] ; Spanish Ministry of Economy and Competitiveness[ESP2015-67549-C3-3-R] ; Spanish Ministry of Economy and Competitiveness[ESP2017-89463-C3-3-R] ; Castilla y Leon Region Government ; European Regional Development Fund[SA007U16]
TOP
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000439980200020
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment ; Youth Innovation Promotion Association CAS ; Spanish Ministry of Economy and Competitiveness ; Castilla y Leon Region Government ; European Regional Development Fund
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23492
Collection数字山地与遥感应用中心
Corresponding AuthorZhao, Wei
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
2.Univ Salamanca, Ctr Hispanoluso Invet Agr, Villamayor 37185, Spain
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding 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,Sanchez, Nilda,Li, Ainong. Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(8):4546-4558.
APA Zhao, Wei,Sanchez, Nilda,&Li, Ainong.(2018).Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(8),4546-4558.
MLA Zhao, Wei,et al."Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.8(2018):4546-4558.
Files in This Item:
File Name/Size DocType Version Access License
08350410.pdf(2444KB)期刊论文出版稿开放获取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
[Sanchez, Nilda]'s Articles
[Li, Ainong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Wei]'s Articles
[Sanchez, Nilda]'s Articles
[Li, Ainong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Wei]'s Articles
[Sanchez, Nilda]'s Articles
[Li, Ainong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 08350410.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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