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Identification of polycentric cities in China based on NPP-VIIRS nighttime light data

Ma, M., Lang, Q., Yang, H. ORCID: https://orcid.org/0000-0001-9940-8273, Shi, K. and Ge, W. (2020) Identification of polycentric cities in China based on NPP-VIIRS nighttime light data. Remote Sensing, 12 (19). 3248. ISSN 2072-4292

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To link to this item DOI: 10.3390/rs12193248

Abstract/Summary

Nighttime light data play an important role in the research on cities, while the urban centers over a large spatial scale are still far from clearly understood. Aiming at the current challenges in monitoring the spatial structure of cities using nighttime light data, this paper proposes a new method for identifying urban centers for massive cities at the large spatial scale based on the brightness information captured by the Suomi National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) sensor. Based on the method for extracting the peak point based on digital elevation model (DEM) data in terrain analysis, the maximum neighborhood and di_erence algorithms were applied to the NPP-VIIRS data to extract the pixels with the peak nighttime light intensity to identify the potential locations of urban centers. The results show 7239 urban centers in 2200 cities in China in 2017, with an average of 3.3 urban centers per city. Approximately 68% of the cities had significant polycentric structures. The developed method in this paper is useful for identifying the urban centers and can provide the reference to the city planning and construction.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
ID Code:93778
Publisher:MDPI

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