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Mapping urban dynamics (1992-2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS

文献类型：期刊论文

作者Zhao, Min2,3,4,5; Zhou, Yuyu3; Li, Xuecao3; Cheng, Weiming2,6; Zhou, Chenghu2,4,5,6; Ma, Ting2,6; Li, Manchun4,5; Huang, Kun1
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2020-10-01
卷号248页码:16
ISSN号0034-4257
关键词Urban extent Urban cluster Urban dynamic Nighttime light Southeast Asia
DOI10.1016/j.rse.2020.111980
通讯作者Zhou, Yuyu(yuyuzhou@iastate.edu) ; Cheng, Weiming(chengwm@lreis.ac.cn)
英文摘要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.
WOS关键词DEVELOPING-COUNTRIES ; URBANIZATION ; RECORD ; CHINA ; AREA ; EXPANSION ; REGION ; LAND
资助项目National Key Research and Development Program of China[2017YFB0504205] ; Surveying and Mapping Geo-information Nonprofit Specific Project of China[201512033] ; Major State Basic Research Development Program of China[2015CB954101] ; National Natural Science Foundation of China[41171332] ; National Natural Science Foundation of China[41571388] ; China Scholarships Council[201806190136]
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000568716200003
资助机构National Key Research and Development Program of China ; Surveying and Mapping Geo-information Nonprofit Specific Project of China ; Major State Basic Research Development Program of China ; National Natural Science Foundation of China ; China Scholarships Council
源URL[http://ir.igsnrr.ac.cn/handle/311030/156843]  
专题中国科学院地理科学与资源研究所
通讯作者Zhou, Yuyu; Cheng, Weiming
作者单位1.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA
4.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
5.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Peoples R China
6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Min,Zhou, Yuyu,Li, Xuecao,et al. Mapping urban dynamics (1992-2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS[J]. REMOTE SENSING OF ENVIRONMENT,2020,248:16.
APA Zhao, Min.,Zhou, Yuyu.,Li, Xuecao.,Cheng, Weiming.,Zhou, Chenghu.,...&Huang, Kun.(2020).Mapping urban dynamics (1992-2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS.REMOTE SENSING OF ENVIRONMENT,248,16.
MLA Zhao, Min,et al."Mapping urban dynamics (1992-2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS".REMOTE SENSING OF ENVIRONMENT 248(2020):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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