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Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?
Liu, Ya1,2; Zhu, Qing1,2; Liao, Kaihua1,2; Lai, Xiaoming1,2; Wang, Junbang3
2021-08-01
Source PublicationJOURNAL OF WATER AND CLIMATE CHANGE
ISSN2040-2244
Volume12Issue:5Pages:1564-1579
Corresponding AuthorZhu, Qing(qzhu@niglas.ac.cn)
AbstractThe coarse spatial resolutions of satellite-based soil moisture (SM) products restrict their applications at smaller spatial scales. In this study, the monthly European Space Agency Climate Change Initiative SM data (ESA CCI SM) from 2000 to 2016 was downscaled from 25- to 1-km resolution in the Taihu Lake Basin, a typical humid area with complex terrain and land uses. The normalized difference vegetation index (NDVI) and land surface temperature (LST) were used as auxiliary data. The regional monthly mean ESA CCI SM values were classified into low value (0.24-0.30 m(3)m(-3)), mid-value (0.30-0.33 m(3)m(-3)) and high value (0.33-0.39 m(3)m(-3)) months by the K-means clustering algorithm. The linear (multiple linear regression) and non-linear (support vector machine) downscaling models were compared. In addition, whether building downscaling models based on wetness conditions could improve the accuracies was tested. Results showed that without considering wetness conditions, the linear method was slightly better than the non-linear method. However, linear models constructed based on wetness conditions performed the best, which demonstrated that wetness conditions should be considered in the downscaling process. Results of this study would improve the accuracies in downscaling satellite-based SM data, facilitating their applications at regional scales.
Keywordremote sensing soil hydrology soil moisture Taihu Lake Basin watershed
DOI10.2166/wcc.2020.131
WOS KeywordAMSR-E ; HYDRAULIC PARAMETERS ; HIGH-RESOLUTION ; SATELLITE ; PRODUCTS ; CHINA ; TEMPERATURE ; VALIDATION ; RETRIEVAL ; PATTERNS
Indexed BySCI
Language英语
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000691092100015
PublisherIWA PUBLISHING
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164921
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, Qing
Affiliation1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Ya,Zhu, Qing,Liao, Kaihua,et al. Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?[J]. JOURNAL OF WATER AND CLIMATE CHANGE,2021,12(5):1564-1579.
APA Liu, Ya,Zhu, Qing,Liao, Kaihua,Lai, Xiaoming,&Wang, Junbang.(2021).Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?.JOURNAL OF WATER AND CLIMATE CHANGE,12(5),1564-1579.
MLA Liu, Ya,et al."Downscaling of ESA CCI soil moisture in Taihu Lake Basin: are wetness conditions and non-linearity important?".JOURNAL OF WATER AND CLIMATE CHANGE 12.5(2021):1564-1579.
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