气候变化领域集成服务门户(CCPortal): Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS

CCPortal

DOI	10.1016/j.rse.2020.111980
	Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS
	Zhao M.; Zhou Y.; Li X.; Cheng W.; Zhou C.; Ma T.; Li M.; Huang K.
发表日期	2020
ISSN	00344257
卷号	248
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. © 2020 Elsevier Inc.
英文关键词	Nighttime light; Southeast Asia; Urban cluster; Urban dynamic; Urban extent
语种	英语
scopus关键词	Decision making; Forestry; Orbits; Thermography (imaging); Time series; Defense Meteorological Satellite Programs; Environmental consequences; Night-time lights; Polar-orbiting; Spatial variations; Spatiotemporal patterns; Temporal consistency; Visible infrared imaging radiometer suites; Urban growth; data set; dimethylsulfoniopropionate; spatial variation; Suomi NPP; time series analysis; urban area; urban growth; urbanization; VIIRS; Southeast Asia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179203
作者单位	State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, United States; School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China; Collaborative Innovation Center of South China Sea Studies, Nanjing, 210023, China; Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China; National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China
推荐引用方式 GB/T 7714	Zhao M.,Zhou Y.,Li X.,等. Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS[J],2020,248.
APA	Zhao M..,Zhou Y..,Li X..,Cheng W..,Zhou C..,...&Huang K..(2020).Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS.Remote Sensing of Environment,248.
MLA	Zhao M.,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).