Spatiotemporal Relationship Between Human Activities and Urban Heat in Chinese Megacities Based on Multisource Remote Sensing
文献类型：期刊论文
| 作者 | Xuan, Bingcheng3,4; Li, Zhe1; Kang, Jing5; Hu, Yi2 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:17064-17079 |
| 关键词 | Land surface temperature Urban areas Remote sensing MODIS Spatiotemporal phenomena Heating systems Meteorology Land surface Accuracy Population density Coordination model land surface temperature (LST) multisource remote sensing population density (PD) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3583940 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Human activities have significantly reshaped urban thermal environments and intensified heat-related risks in rapidly urbanizing areas. Owing to its broad coverage and long-term monitoring capabilities, satellite remote sensing has become essential for tracking land surface temperature (LST) dynamics. In this study, MODIS LST data and WorldPop population density (PD) data retrieved from thermal infrared and multisource remote sensing were used. Employing correlation analysis, standard deviational ellipse, and a coordination model, we comprehensively assessed the spatiotemporal relationship between human activities and urban heat in six Chinese megacities from 2005 to 2020. The main results revealed that: 1) although both PD and LST exhibited consistent upward trends in all cities during 2005-2020, the correlation between the two decreased while remaining significantly positive, suggesting that governance measures in megacities have helped improve urban thermal environments; 2) the correlation displayed periodic fluctuations. Dominant coordination types alternated between heating advance and coordinated enhancement, with heating hysteresis tending to occur alongside coordinated enhancement, reflecting dynamic policy adaptations to different stages of urban development; 3) significant intercity variation in the PD-LST relationship was attributed to differences in geographical conditions, development models, and industrial structures. For example, Guangzhou exhibited high PD and LST but the lowest PD-LST correlation (0.31) and the fastest decline (-1.12%/a), whereas Beijing exhibited lower PD and LST but the highest correlation (0.50) and lowest change rate (-0.60%/a). Based on these findings, we propose targeted heat environment regulation strategies tailored to each city's characteristics, providing practical guidance for enhancing heat environment governance. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; URBANIZATION ; ISLANDS ; IMPACTS ; CLIMATE |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001531874800003 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215420]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhe; Hu, Yi |
| 作者单位 | 1.Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China; 2.Nanjing Univ, Urban Planning & Design Inst, Nanjing 210093, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 5.Natl Marine Environm Monitoring Ctr, Dalian 116033, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Xuan, Bingcheng,Li, Zhe,Kang, Jing,et al. Spatiotemporal Relationship Between Human Activities and Urban Heat in Chinese Megacities Based on Multisource Remote Sensing[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:17064-17079. |
| APA | Xuan, Bingcheng,Li, Zhe,Kang, Jing,&Hu, Yi.(2025).Spatiotemporal Relationship Between Human Activities and Urban Heat in Chinese Megacities Based on Multisource Remote Sensing.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,17064-17079. |
| MLA | Xuan, Bingcheng,et al."Spatiotemporal Relationship Between Human Activities and Urban Heat in Chinese Megacities Based on Multisource Remote Sensing".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):17064-17079. |
入库方式： OAI收割
来源：地理科学与资源研究所
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