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

TitleMapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS
Authors
KeywordsNighttime light
Southeast Asia
Urban cluster
Urban dynamic
Urban extent
Issue Date2020
Citation
Remote Sensing of Environment, 2020, v. 248, article no. 111980 How to Cite?
AbstractThe 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.
Persistent Identifierhttp://hdl.handle.net/10722/329633
ISSN
2023 Impact Factor: 11.1
2023 SCImago Journal Rankings: 4.310
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhao, Min-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorLi, Xuecao-
dc.contributor.authorCheng, Weiming-
dc.contributor.authorZhou, Chenghu-
dc.contributor.authorMa, Ting-
dc.contributor.authorLi, Manchun-
dc.contributor.authorHuang, Kun-
dc.date.accessioned2023-08-09T03:34:11Z-
dc.date.available2023-08-09T03:34:11Z-
dc.date.issued2020-
dc.identifier.citationRemote Sensing of Environment, 2020, v. 248, article no. 111980-
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10722/329633-
dc.description.abstractThe 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.-
dc.languageeng-
dc.relation.ispartofRemote Sensing of Environment-
dc.subjectNighttime light-
dc.subjectSoutheast Asia-
dc.subjectUrban cluster-
dc.subjectUrban dynamic-
dc.subjectUrban extent-
dc.titleMapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rse.2020.111980-
dc.identifier.scopuseid_2-s2.0-85087870921-
dc.identifier.volume248-
dc.identifier.spagearticle no. 111980-
dc.identifier.epagearticle no. 111980-
dc.identifier.isiWOS:000568716200003-

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