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A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window
Wen Fengping1,2; Zhao Wei1,2; Wang Qunming3; Sanchez Nilda4
Corresponding AuthorZhao, Wei(zhaow@imde.ac.cn)
2020
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume58Issue:2Pages:913-924
SubtypeArticle
Contribution Rank1
AbstractMany remote sensing soil moisture (SM) products have been developed with global coverage. However, most of them are derived from passive microwave observations with very coarse resolution, greatly constraining the applications at regional scales. To increase the spatial resolution, a downscaling method is developed to downscale the 36-km Soil Moisture Active Passive L3 SM (SMAP SM) product to 1 km using the Moderate Resolution Imaging Spectroradiometer (MODIS) products (8-d land surface temperature, LST, and 16-d normalized difference vegetation index, NDVI). In this method, a linking model is first established between SM and LST and NDVI, and a self-adaptive window method is applied with the use of the geographically weighted regression (GWR) method to obtain an optimal local regression. Then, the uncertainty of the linking model, expressed as the regression residual, is redistributed to fine-resolution pixels to analyze the consistency before and after downscaling. The method was applied to the Iberian Peninsula to produce the 8-d downscaled SM product in 2016. The downscaled SM was validated with the in-situ SM network (REMEDHUS). A good agreement was found between the two data sets, with a correlation coefficient (R) of 0.87 and an unbiased root-mean-squared error (ubRMSE) of 0.043 m(3)/m(3) at a network level. At station level, the R is larger than 0.6 for all the REMEDHUS stations, with an ubRMSE smaller than 0.06 m(3)/m(3). The evaluation indicates the good potential of the proposed method in the SM downscaling, which achieves a robust consistency and provides rich spatial information while maintaining good accuracy.
KeywordArea-to-point kriging (ATPK) downscaling geographically weighted regression (GWR) Moderate Resolution Imaging Spectroradiometer (MODIS) self-adaptive window soil moisture (SM) Soil Moisture Active Passive (SMAP)
DOI10.1109/TGRS.2019.2941696
Indexed BySCI
WOS KeywordLAND-SURFACE TEMPERATURE ; REMOTE-SENSING APPROACH ; HIGH-RESOLUTION ; SPATIAL SCALES ; SMOS ; RETRIEVAL ; VALIDATION ; VEGETATION ; DISAGGREGATION ; VARIABILITY
Language英语
Funding ProjectNational Natural Science Foundation of China[41771409] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS)[SDS-135-1708] ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS[2016333] ; Spanish Ministry of Science, Innovation and Universities, State Research Agency (AEI) ; European Regional Development Fund[ESP2017-89463-C3-3-R]
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:000510710600013
Funding OrganizationNational Natural Science Foundation of China ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS) ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS ; Spanish Ministry of Science, Innovation and Universities, State Research Agency (AEI) ; European Regional Development Fund
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/33873
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, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China;
4.Univ Salamanca USAL, Inst Hispanoluso Invest Agr CIALE, 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
Wen Fengping,Zhao Wei,Wang Qunming,et al. A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(2):913-924.
APA Wen Fengping,Zhao Wei,Wang Qunming,&Sanchez Nilda.(2020).A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(2),913-924.
MLA Wen Fengping,et al."A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.2(2020):913-924.
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