Dynamic urban morphology mapping in Chinese cities based on local climate zone approach
Abstract Urbanization have been significantly reshaping the form of urban areas and natural landscapes, leading to complex urban morphologies. In 2012, the Local Climate Zone (LCZ) classification was proposed to address this issue and has since been widely adopted in urban climate studies globally....
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04478-y |
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| author | Hanguang Yu Yang Yang Jiyao Zhao Meng Cai Ran Wang Guangzhao Chen Chunxiao Zhang Le Yu |
| author_facet | Hanguang Yu Yang Yang Jiyao Zhao Meng Cai Ran Wang Guangzhao Chen Chunxiao Zhang Le Yu |
| author_sort | Hanguang Yu |
| collection | DOAJ |
| description | Abstract Urbanization have been significantly reshaping the form of urban areas and natural landscapes, leading to complex urban morphologies. In 2012, the Local Climate Zone (LCZ) classification was proposed to address this issue and has since been widely adopted in urban climate studies globally. Despite its prevalence, literature on dynamic mapping of urban morphology remains sparse, making it difficult to delve into the study of urban renewal year by year. In this study, we compared different training scales, producing dynamic mappings of urban morphology with a spatial resolution of 100 meters spanning from 2000 to 2022 in major Chinese cities, based on the LCZ scheme. The results demonstrate strong inter-year consistency, and the accuracy of urban morphology change mapping is overall higher than 70%. Additionally, our results exhibit good alignment with other LCZ mapping datasets, more suitable for the current development situation in China, and effectively discriminate between building heights and densities across different LCZ types. This dataset holds significant potential for enhancing urban morphology monitoring and advancing urban climate research. |
| format | Article |
| id | doaj-art-06c424fc18244e2094c3a0f9a0e618c8 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-06c424fc18244e2094c3a0f9a0e618c82025-02-02T12:07:59ZengNature PortfolioScientific Data2052-44632025-01-0112111610.1038/s41597-025-04478-yDynamic urban morphology mapping in Chinese cities based on local climate zone approachHanguang Yu0Yang Yang1Jiyao Zhao2Meng Cai3Ran Wang4Guangzhao Chen5Chunxiao Zhang6Le Yu7School of Information Engineering, China University of GeosciencesSchool of Information Engineering, China University of GeosciencesDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua UniversitySchool of Urban Design, Wuhan UniversityCollege of Economic and Social Development, Nankai UniversitySchool of Geographic Science and Planning, Sun Yat-sen UniversitySchool of Information Engineering, China University of GeosciencesDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua UniversityAbstract Urbanization have been significantly reshaping the form of urban areas and natural landscapes, leading to complex urban morphologies. In 2012, the Local Climate Zone (LCZ) classification was proposed to address this issue and has since been widely adopted in urban climate studies globally. Despite its prevalence, literature on dynamic mapping of urban morphology remains sparse, making it difficult to delve into the study of urban renewal year by year. In this study, we compared different training scales, producing dynamic mappings of urban morphology with a spatial resolution of 100 meters spanning from 2000 to 2022 in major Chinese cities, based on the LCZ scheme. The results demonstrate strong inter-year consistency, and the accuracy of urban morphology change mapping is overall higher than 70%. Additionally, our results exhibit good alignment with other LCZ mapping datasets, more suitable for the current development situation in China, and effectively discriminate between building heights and densities across different LCZ types. This dataset holds significant potential for enhancing urban morphology monitoring and advancing urban climate research.https://doi.org/10.1038/s41597-025-04478-y |
| spellingShingle | Hanguang Yu Yang Yang Jiyao Zhao Meng Cai Ran Wang Guangzhao Chen Chunxiao Zhang Le Yu Dynamic urban morphology mapping in Chinese cities based on local climate zone approach Scientific Data |
| title | Dynamic urban morphology mapping in Chinese cities based on local climate zone approach |
| title_full | Dynamic urban morphology mapping in Chinese cities based on local climate zone approach |
| title_fullStr | Dynamic urban morphology mapping in Chinese cities based on local climate zone approach |
| title_full_unstemmed | Dynamic urban morphology mapping in Chinese cities based on local climate zone approach |
| title_short | Dynamic urban morphology mapping in Chinese cities based on local climate zone approach |
| title_sort | dynamic urban morphology mapping in chinese cities based on local climate zone approach |
| url | https://doi.org/10.1038/s41597-025-04478-y |
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