IGSNRR OpenIR
Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products
Lai, Jiameng1; Zhan, Wenfeng1,2; Huang, Fan1; Quan, Jinling3; Hu, Leiqiu4; Gao, Lun5; Ju, Weimin1
2018-05-01
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
Volume139Pages:212-227
Corresponding AuthorZhan, Wenfeng(zhanwenfeng@nju.edu.cn)
AbstractThe temporally regular and spatially comprehensive monitoring of surface urban heat islands (SUHIs) have been extremely difficult, until the advent of satellite-based land surface temperature (LST) products. However, these LST products have relatively higher errors compared to in situ measurements. This has resulted in comparatively inaccurate estimations of SUHI indicators and, consequently, may have distorted interpretations of SUHIs. Although reports have shown that LST qualities are important for SUHI interpretations, systematic investigations of the response of SUHI indicators to LST qualities across cities with dissimilar bioclimates are rare. To address this issue, we chose eighty-six major cities across mainland China and analyzed SUHI intensity (SUHII) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) LST data. The LST-based SUHII differences due to inclusion or exclusion of MODIS quality control (QC) flags (i.e., ASUHII) were evaluated. Our major findings included, but are not limited to, the following four aspects: (1) SUHIls can be significantly impacted by MODIS QC flags, and the associated QC-induced Delta SUHIIs generally accounted for 24.3% (29.9%) of the total SUHII value during the day (night); (2) the Delta SUHIIs differed between seasons, with considerable differences between transitional (spring and autumn) and extreme (summer and winter) seasons; (3) significant discrepancies also appeared among cities located in northern and southern regions, with northern cities often possessing higher annual mean Delta SUHIIs. The internal variations of Delta SUHIIs within individual cities also showed high heterogeneity, with ASUHII variations that generally exceeded 5.0 K (3.0 K) in northern (southern) cities; (4) Delta SUHIIs were negatively related to SUHIls and cloud cover percentages (mostly in transitional seasons). No significant relationship was found in the extreme seasons. Our findings highlight the need to be extremely cautious when using LST product-based SUHIIs to interpret SUHIs. (C) 2018 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
KeywordSurface urban heat island Thermal remote sensing Land surface temperature MODIS product Quality control
DOI10.1016/j.isprsjprs.2018.03.012
WOS KeywordCITIES ; CHINA ; CLIMATE ; IMAGERY ; URBANIZATION ; VALIDATION ; INDICATORS ; PATTERNS ; DRIVERS ; DECADES
Indexed BySCI
Language英语
Funding ProjectKey Research and Development Programs for Global Change and Adaptation[2017YFA0603604] ; Key Research and Development Programs for Global Change and Adaptation[2016YFA0600201] ; National Natural Science Foundation of China[41671420] ; DengFeng Program-B of Nanjing University
Funding OrganizationKey Research and Development Programs for Global Change and Adaptation ; National Natural Science Foundation of China ; DengFeng Program-B of Nanjing University
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000431160100016
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55010
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhan, Wenfeng
Affiliation1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Univ Alabama, Dept Atmospher Sci, Huntsville, AL 35899 USA
5.Univ Minnesota, Dept Civil Environm & Geoengn, St Anthony Falls Lab, Minneapolis, MN 55414 USA
Recommended Citation
GB/T 7714
Lai, Jiameng,Zhan, Wenfeng,Huang, Fan,et al. Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,139:212-227.
APA Lai, Jiameng.,Zhan, Wenfeng.,Huang, Fan.,Quan, Jinling.,Hu, Leiqiu.,...&Ju, Weimin.(2018).Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,139,212-227.
MLA Lai, Jiameng,et al."Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 139(2018):212-227.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lai, Jiameng]'s Articles
[Zhan, Wenfeng]'s Articles
[Huang, Fan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lai, Jiameng]'s Articles
[Zhan, Wenfeng]'s Articles
[Huang, Fan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lai, Jiameng]'s Articles
[Zhan, Wenfeng]'s Articles
[Huang, Fan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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