Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model ov...
Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model over Urban Areas
About this item
Full title
Author / Creator
Wang, Shumin , Luo, Youming , Li, Xia , Yang, Kaixiang , Liu, Qiang , Luo, Xiaobo and Li, Xiuhong
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Land surface temperature (LST) is a vital physical parameter in geoscience research and plays a prominent role in surface and atmosphere interaction. Due to technical restrictions, the spatiotemporal resolution of satellite remote sensing LST data is relatively low, which limits the potential applications of these data. An LST downscaling algorithm...
Alternative Titles
Full title
Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model over Urban Areas
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Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_af6dedcd157d4e5b94489f858fe5a411
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af6dedcd157d4e5b94489f858fe5a411
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13081580
