An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021
文献类型：期刊论文
| 作者 | Xiong, Biao1; Huang, Yaohuan1; Chen, Mingxing1; Wu, Chengbin1; Ren, Hongyan |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 17页码:2037-2051 |
| 关键词 | Urban areas Carbon dioxide Remote sensing Equator Statistics Spatial resolution Sociology China dataset nighttime light (NTL) urban core-suburban-rural (USR) urbanization |
| DOI | 10.1109/JSTARS.2023.3341390 |
| 产权排序 | 1 |
| 英文摘要 | China has experienced a rapid urbanization over the past three decades, resulting in a prominent urban core-suburban-rural (USR) triad structure of human settlements. The USR disparities, which are related to the spatial variations of human activity intensity, have significant impacts on the spatiotemporal variations in various environmental issues such as carbon dioxide (CO2) emissions, carbon storage, water quality, etc. However, there is a lack of national-level, long-term USR dataset compared to the large number of Urban-Rural dual-structure datasets. In this study, an annual USR dataset from 1992 to 2021 in China is delineated by using the nighttime light data, which is the first full coverage, long-term USR dataset of China. The consistency with other remote sensing products (global urban boundaries) and socio-economic data (demographic and point of interest data) demonstrates that the USR dataset is reliable for characterizing the spatial extents of human settlements with distinct socio-economic activity intensities. The USR maps have shown that the Chinese urban core area increased 9-fold from 16,500 km(2) in 1992 to 165,000 km(2) in 2021. The application of USR data in Fossil Fuel Combustion CO2 (ffco2) emissions indicates that ffco2 emissions in urban core, suburban, and rural area increased 1.34, 0.36, and 0.17 billion of tons from 2000 to 2019 in China, respectively. The dataset can be used for other environmental research issues in China, which has not been possible before because of the lack of the long-term USR triad structure of human settlements. |
| WOS关键词 | ANNUAL URBAN-DYNAMICS ; IMPERVIOUS SURFACES ; NIGHTTIME ; URBANIZATION ; AREAS ; CO2 ; INVENTORY ; EXPANSION ; EMISSIONS ; RECORD |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001136788300005 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201676]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiong, Biao,Huang, Yaohuan,Chen, Mingxing,et al. An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2024,17:2037-2051. |
| APA | Xiong, Biao,Huang, Yaohuan,Chen, Mingxing,Wu, Chengbin,&Ren, Hongyan.(2024).An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17,2037-2051. |
| MLA | Xiong, Biao,et al."An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024):2037-2051. |
入库方式： OAI收割
来源：地理科学与资源研究所
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