Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data

doi:10.3390/ijgi7060219

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data
	Ge, Wei 2; Yang, Hong 1,2; Zhu, Xiaobo 2; Ma, Mingguo 2; Yang, Yuli 3
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2018-06
卷号	7 期号:6
关键词	China VIIRS night-time light ghost city vacant urban area
ISSN号	2220-9964
DOI	10.3390/ijgi7060219
英文摘要	The 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 = -0.659, p < 0.01) and the average selling prices of commercial buildings (R = -0.637, p < 0.01). In total, 31 ghost cities are mainly concentrated in the economically underdeveloped inland provinces. Ghost city areas are mainly located on the edge of urban built-up areas, and the spatial pattern of ghost city areas changed in different regions. This approach combines statistical data with the distribution of vacant urban areas, which is an effective method to capture ghost city information.
资助项目	National Natural Science Foundation of China[41771453]
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000436275700021
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32633]
专题	土木工程学院
通讯作者	Yang, Hong; Ma, Mingguo
作者单位	1.Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England 2.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China 3.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Ge, Wei,Yang, Hong,Zhu, Xiaobo,et al. Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(6).
APA	Ge, Wei,Yang, Hong,Zhu, Xiaobo,Ma, Mingguo,&Yang, Yuli.(2018).Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(6).
MLA	Ge, Wei,et al."Ghost City Extraction and Rate Estimation in China Based on NPP-VIIRS Night-Time Light Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.6(2018).