GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery

doi:10.3390/rs9070673

	GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery
	Zhao, Min 1,2,3; Cheng, Weiming 3,4; Zhou, Chenghu 1,2,3,4; Li, Manchun 1,2; Wang, Nan 3,5; Liu, Qiangyi 3,5
刊名	REMOTE SENSING
	2017-07-01
卷号	9 期号:7 页码:20
关键词	GDP estimation VIIRS nighttime light geomorphological types South China
ISSN号	2072-4292
DOI	10.3390/rs9070673
通讯作者	Cheng, Weiming(chengwm@lreis.ac.cn)
英文摘要	Accurate data on gross domestic product (GDP) at pixel level are needed to understand the dynamics of regional economies. GDP spatialization is the basis of quantitative analysis on economic diversities of different administrative divisions and areas with different natural or humanistic attributes. Data from the Visible Infrared Imaging Radiometer Suite (VIIRS), carried by the Suomi National Polar-orbiting Partnership (NPP) satellite, are capable of estimating GDP, but few studies have been conducted for mapping GDP at pixel level and further pattern analysis of economic differences in different regions using the VIIRS data. This paper produced a pixel-level (500 m x 500 m) GDP map for South China in 2014 and quantitatively analyzed economic differences among diverse geomorphological types. Based on a regression analysis, the total nighttime light (TNL) of corrected VIIRS data were found to exhibit R-2 values of 0.8935 and 0.9243 for prefecture GDP and county GDP, respectively. This demonstrated that TNL showed a more significant capability in reflecting economic status (R-2 > 0.88) than other nighttime light indices (R-2 < 0.52), and showed quadratic polynomial relationships with GDP rather than simple linear correlations at both prefecture and county levels. The corrected NPP-VIIRS data showed a better fit than the original data, and the estimation at the county level was better than at the prefecture level. The pixel-level GDP map indicated that: (a) economic development in coastal areas was higher than that in inland areas; (b) low altitude plains were the most developed areas, followed by low altitude platforms and low altitude hills; and (c) economic development in middle altitude areas, and low altitude hills and mountains remained to be strengthened.
资助项目	Surveying and Mapping Geoinformation Nonprofit Specific Project[201512033] ; Major State Basic Research Development Program of China[2015CB954101] ; National Natural Science Foundation of China[41171332] ; National Natural Science Foundation of China[41571388]
WOS关键词	ELECTRIC-POWER CONSUMPTION ; SOCIOECONOMIC PARAMETERS ; SATELLITE DATA ; POPULATION ; EMISSIONS ; PRODUCT
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000406676800036
资助机构	Surveying and Mapping Geoinformation Nonprofit Specific Project ; Major State Basic Research Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61334]
专题	中国科学院地理科学与资源研究所
通讯作者	Cheng, Weiming
作者单位	1.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China 2.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Min,Cheng, Weiming,Zhou, Chenghu,et al. GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery[J]. REMOTE SENSING,2017,9(7):20.
APA	Zhao, Min,Cheng, Weiming,Zhou, Chenghu,Li, Manchun,Wang, Nan,&Liu, Qiangyi.(2017).GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery.REMOTE SENSING,9(7),20.
MLA	Zhao, Min,et al."GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery".REMOTE SENSING 9.7(2017):20.