Ghost city extraction and rate estimation in China based on NPP-VIIRS night-time light dataGe, W., Yang, H. ORCID: https://orcid.org/0000-0001-9940-8273, Xiaobo, Z., Mingguo, M. and Yuli, Y. (2018) Ghost city extraction and rate estimation in China based on NPP-VIIRS night-time light data. ISPR International Journal of Geo-Information, 7 (6). 219. ISSN 2220-9964
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.3390/ijgi7060219 Abstract/SummaryThe ghost city phenomenon is a serious problem resulting from the rapid urbanization process in China. Estimation of the ghost city rate (GCR) can provide information about vacant dwellings. This paper developed a methodology to quantitatively evaluate GCR values at the national scale using multi-resource remote sensing data. The Suomi National Polar-Orbiting Partnership–Visible Infrared Imaging Radiometer (NPP-VIIRS) night-time light data and moderate resolution imaging spectroradiometer (MODIS) land cover data were used in the evaluation of the GCR values in China. The average ghost city rate (AGCR) was 35.1% in China in 2013. Shanghai had the smallest AGCR of 21.7%, while Jilin has the largest AGCR of 47.27%. There is a significant negative correlation between both the provincial AGCR and the per capita disposable income of urban households (R =
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