IGSNRR OpenIR
Robustness of satellite-derived land surface parameters to urban land surface temperature
Qiao, Zhi1; Zhang, Dianjun2,3; Xu, Xinliang4; Liu, Luo5
2019
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume40Issue:5-6Pages:1858-1874
Corresponding AuthorZhang, Dianjun(zhangdianjun123@163.com)
AbstractInvestigating the relationship between land surface temperature (LST) and other satellite-derived land surface parameters is beneficial to exploring adaptation and mitigation strategies for urban thermal environment. The article indicates the key parameters influencing LST at regional scale and object scale using comparison of the relationship between LST and land surface parameters based on ordinary least squares (OLS) and Kendall robust linear fit. The results showed that normalized difference moisture index (NDMI) is the most effective and robust parameter interpreting LST, followed by normalized difference buildup index (NDBI). Although normalized difference vegetation index (NDVI) and the albedo of visible light can strongly affect LST, they showed a lack of robustness because of the large gaps between the determination coefficients of the two regression methods at regional scale. At object scale, the average temperature of factories was the highest, followed by business services construction. NDVI and NDMI are the important factors affecting LST for these points of interest (POIs).
DOI10.1080/01431161.2018.1484962
WOS KeywordHEAT-ISLAND ; THERMAL ENVIRONMENT ; IMPACT ; URBANIZATION ; MITIGATION ; PATTERN ; ENERGY ; AREA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41501472]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000464043900017
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48184
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Dianjun
Affiliation1.Tianjin Univ, Key Lab Indoor Air Environm Qual Control, Sch Environm Sci & Engn, Tianjin, Peoples R China
2.Tianjin Univ, Sch Marine Sci & Technol, Tianjin 300072, Peoples R China
3.Guilin Univ Technol, Coll Earth Sci, Guilin, Peoples R China
4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
5.South China Agr Univ, Guangdong Prov Engn Res Ctr Land Informat Technol, Coll Nat Resources & Environm, Guangzhou, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Qiao, Zhi,Zhang, Dianjun,Xu, Xinliang,et al. Robustness of satellite-derived land surface parameters to urban land surface temperature[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1858-1874.
APA Qiao, Zhi,Zhang, Dianjun,Xu, Xinliang,&Liu, Luo.(2019).Robustness of satellite-derived land surface parameters to urban land surface temperature.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1858-1874.
MLA Qiao, Zhi,et al."Robustness of satellite-derived land surface parameters to urban land surface temperature".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1858-1874.
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