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Article: Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

TitleAssessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements
Authors
KeywordsChina
city
climate
interferometry
social status
Issue Date2019
PublisherNature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/srep/index.html
Citation
Scientific Reports, 2019, v. 9 n. 1, p. article no. 18848 How to Cite?
AbstractLocal climate zone (LCZ) maps that describe the urban surface structure and cover with consistency and comparability across cities are gaining applications in studies of urban heat waves, sustainable urbanization and urban energy balance. Following the standard World Urban Database and Access Portal Tools (WUDAPT) method, we generated LCZ maps for over 20 individual cities and 3 major economic regions in China. Based on the confusion matrices constructed by manual comparison between the predicted classes and ground truths, we highlight the following: (1) notable variation in overall accuracies (i.e., 60%–89%) among cities were observed, which was mainly due to class incompleteness and distinct proportions of natural landscapes; (2) building classes in selected cities were poorly classified in general, with a mean accuracy of 48%; (3) the sparsely built class (i.e., LCZ 9), which is rare in the selected Chinese cities, had the lowest classification accuracy (32% on average), and the class of low plants had the widest accuracy range. The findings indicate that the standard WUDAPT method alone is insufficient for generating LCZ products that demonstrate practical value, especially for built-up areas in China, and the misclassification is largely caused by the lack of building height data. This result is confirmed by a refinement test, in which the urban DEM retrieved from Sentinel-1 data with radar interferometry technique was used. The study shows a detailed and comprehensive assessment of applying the WUDAPT method in China and a feasible refinement strategy to improve the classification accuracy, especially for the built-up types of LCZ. The study could serve as a useful reference for generating quality-ensured LCZ maps. This study also examines and explores the relationship between socio-economic status and LCZ products, which is essential for further implementations.
Persistent Identifierhttp://hdl.handle.net/10722/288007
ISSN
2019 Impact Factor: 3.998
2015 SCImago Journal Rankings: 2.073
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorRen, C-
dc.contributor.authorCai, M-
dc.contributor.authorLi, X-
dc.contributor.authorZhang, L-
dc.contributor.authorWang, R-
dc.contributor.authorXu, Y-
dc.contributor.authorNg, E-
dc.date.accessioned2020-10-05T12:06:29Z-
dc.date.available2020-10-05T12:06:29Z-
dc.date.issued2019-
dc.identifier.citationScientific Reports, 2019, v. 9 n. 1, p. article no. 18848-
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10722/288007-
dc.description.abstractLocal climate zone (LCZ) maps that describe the urban surface structure and cover with consistency and comparability across cities are gaining applications in studies of urban heat waves, sustainable urbanization and urban energy balance. Following the standard World Urban Database and Access Portal Tools (WUDAPT) method, we generated LCZ maps for over 20 individual cities and 3 major economic regions in China. Based on the confusion matrices constructed by manual comparison between the predicted classes and ground truths, we highlight the following: (1) notable variation in overall accuracies (i.e., 60%–89%) among cities were observed, which was mainly due to class incompleteness and distinct proportions of natural landscapes; (2) building classes in selected cities were poorly classified in general, with a mean accuracy of 48%; (3) the sparsely built class (i.e., LCZ 9), which is rare in the selected Chinese cities, had the lowest classification accuracy (32% on average), and the class of low plants had the widest accuracy range. The findings indicate that the standard WUDAPT method alone is insufficient for generating LCZ products that demonstrate practical value, especially for built-up areas in China, and the misclassification is largely caused by the lack of building height data. This result is confirmed by a refinement test, in which the urban DEM retrieved from Sentinel-1 data with radar interferometry technique was used. The study shows a detailed and comprehensive assessment of applying the WUDAPT method in China and a feasible refinement strategy to improve the classification accuracy, especially for the built-up types of LCZ. The study could serve as a useful reference for generating quality-ensured LCZ maps. This study also examines and explores the relationship between socio-economic status and LCZ products, which is essential for further implementations.-
dc.languageeng-
dc.publisherNature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/srep/index.html-
dc.relation.ispartofScientific Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChina-
dc.subjectcity-
dc.subjectclimate-
dc.subjectinterferometry-
dc.subjectsocial status-
dc.titleAssessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements-
dc.typeArticle-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.emailLi, X: lixinwei@hku.hk-
dc.identifier.authorityRen, C=rp02447-
dc.identifier.authorityZhang, L=rp02503-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41598-019-55444-9-
dc.identifier.pmid31827216-
dc.identifier.pmcidPMC6906403-
dc.identifier.scopuseid_2-s2.0-85076492121-
dc.identifier.hkuros315808-
dc.identifier.volume9-
dc.identifier.issue1-
dc.identifier.spagearticle no. 18848-
dc.identifier.epagearticle no. 18848-
dc.publisher.placeUnited Kingdom-

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