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

文献类型：期刊论文

作者Zhao, Min1,2,3; Cheng, Weiming1,5; Zhou, Chenghu1,2,3,5; Li, Manchun2,3; Wang, Nan1,4; Liu, Qiangyi1,4
刊名REMOTE SENSING
出版日期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
DOI10.3390/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.
WOS关键词ELECTRIC-POWER CONSUMPTION ; SOCIOECONOMIC PARAMETERS ; SATELLITE DATA ; POPULATION ; EMISSIONS ; PRODUCT
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研究方向Remote Sensing
语种英语
WOS记录号WOS:000406676800036
出版者MDPI AG
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
源URL[http://ir.igsnrr.ac.cn/handle/311030/61334]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Cheng, Weiming
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Jiangsu, Peoples R China
3.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, 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.

入库方式： OAI收割

来源：地理科学与资源研究所

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