文献类型： 外文期刊

作者： Zhao, Min ¹ ; Zhou, Yuyu ² ; Li, Xuecao ² ; Cheng, Weiming ¹ ; Zhou, Chenghu ¹ ; Ma, Ting ¹ ; Li, Manchun ³ ; Huang, Kun ⁶ ;

作者机构： 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

2.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA

3.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China

4.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Peoples R China

5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China

6.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Urban extent; Urban cluster; Urban dynamic; Nighttime light; Southeast Asia

期刊名称：REMOTE SENSING OF ENVIRONMENT （ 影响因子：10.164； 五年影响因子：11.057 ）

ISSN： 0034-4257

年卷期： 2020 年 248 卷

页码：

收录情况： SCI

摘要： The long-term urban dynamics at regional and global scales is essential to understanding the urbanization processes and environmental consequences for providing better scientific insights and effective decision-making. The time series of consistent nighttime light (NTL) data generated by integrating the Defense Meteorological Satellite Program-Operational Linescane System (DMSP-OLS) and the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) provide a longer consistent record of the nightscape beyond a single dataset for monitoring urban dynamics. In this study, we developed a new framework based on the spatial variation of NTL gradient (SVNG) to map urban dynamics in Southeast Asia using the consistent NTL data (1992-2018). First, we identified the potential urban clusters in the region using the cluster-based segmentation approach in 2018. Second, we applied the SVNG framework in each potential urban cluster to extract the initial annual urban extent from corresponding time-series NTL images (1992-2018). Finally, we performed a temporal consistency check on the initial urban extent to obtain the final urban sequence in Southeast Asia. The evaluation on the spatiotemporal patterns and consistency of urban dynamics using other urban products indicates that the SVNG framework can effectively capture the urban dynamics in areas with different development levels and patterns. Moreover, we investigated urban dynamics in Southeast Asia at the local, national, and regional scales. This study opens new research avenues for monitoring and understanding the long-term urban dynamics and the pathways of urban growth from local to global scales.