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基于局部气候区方法的中国城市动态城市形态映射

Dynamic urban morphology mapping in Chinese cities based on local climate zone approach.

作者信息

Yu Hanguang, Yang Yang, Zhao Jiyao, Cai Meng, Wang Ran, Chen Guangzhao, Zhang Chunxiao, Yu Le

机构信息

School of Information Engineering, China University of Geosciences, Beijing, 100083, China.

Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084, China.

出版信息

Sci Data. 2025 Jan 30;12(1):181. doi: 10.1038/s41597-025-04478-y.

DOI:10.1038/s41597-025-04478-y
PMID:39885186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11782667/
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.

摘要

城市化一直在显著重塑城市区域和自然景观的形态，导致复杂的城市形态。2012年，提出了当地气候区（LCZ）分类以解决这一问题，此后在全球城市气候研究中得到广泛采用。尽管其应用广泛，但关于城市形态动态映射的文献仍然稀少，难以逐年深入研究城市更新。在本研究中，我们基于LCZ方案，比较了不同的训练尺度，制作了中国主要城市2000年至2022年空间分辨率为100米的城市形态动态映射。结果显示出很强的逐年一致性，城市形态变化映射的准确率总体高于70%。此外，我们的结果与其他LCZ映射数据集具有良好的一致性，更适合中国目前的发展状况，并能有效区分不同LCZ类型的建筑高度和密度。该数据集在加强城市形态监测和推进城市气候研究方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/67103610c648/41597_2025_4478_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/67103610c648/41597_2025_4478_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/84c9c29ce8f4/41597_2025_4478_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/a47f8806e960/41597_2025_4478_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/a37e48076924/41597_2025_4478_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/98f3dc8f2022/41597_2025_4478_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/e91c2cb6f4c3/41597_2025_4478_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/8fbf8f71141a/41597_2025_4478_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/c1d487a5baa9/41597_2025_4478_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/eb44f1b59a31/41597_2025_4478_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/4dcc7ab0072c/41597_2025_4478_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/577142d5fedb/41597_2025_4478_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98d6/11782667/67103610c648/41597_2025_4478_Fig12_HTML.jpg

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