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    Fitting Chinese cities’ population distributions using remote sensing satellite data

    Access Status
    Fulltext not available
    Authors
    Chen, J.
    Fan, W.
    Li, K.
    Liu, Xin
    Song, M.
    Date
    2019
    Type
    Journal Article
    
    Metadata
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    Citation
    Chen, J. and Fan, W. and Li, K. and Liu, X. and Song, M. 2019. Fitting Chinese cities’ population distributions using remote sensing satellite data. Ecological Indicators. 98: pp. 327-333.
    Source Title
    Ecological Indicators
    DOI
    10.1016/j.ecolind.2018.11.013
    ISSN
    1470-160X
    School
    Sustainability Policy Institute
    URI
    http://hdl.handle.net/20.500.11937/71771
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd Remote sensing satellite data from 2012 to 2013 are used to fit the Chinese cities’ population distributions over the same period in order to verify the population distribution in China from a relatively objective perspective. Most scholars have used nighttime light data and vegetation indexes to fit the population distribution, but the fitting effect has not been satisfactory. In this paper, processed Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data, net primary productivity of vegetation (NPP), and average slope data were used to fit the population distribution from the three dimensions of economic growth, ecological environment, and topographic factors, respectively. The fitting effect was significantly improved compared with other studies (R2 values of 0.9244 and 0.9253 in 2012 and 2013, respectively). Therefore, this method provides a practical and effective way to fit the population distribution for remote cities or areas lacking census data. Furthermore, there is important practical significance for the government to formulate its population policies rationally, optimize the spatial distribution of population, and improve the ecological quality of the city.

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