The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels
文献类型：期刊论文
| 作者 | Dai, Zhaoxin1,2,3; Hu, Yunfeng1,2 ; Zhao, Guanhua1,2,3
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| 刊名 | SUSTAINABILITY
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| 出版日期 | 2017-02-01 |
| 卷号 | 9期号:2页码:15 |
| 关键词 | NPP/VIIRS DMSP/OLS GDP spatial scale suitability regression model suitability regional suitability |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su9020305 |
| 通讯作者 | Hu, Yunfeng(huyf@lreis.ac.cn) |
| 英文摘要 | Nighttime light data offer a unique view of the Earth's surface and can be used to estimate the spatial distribution of gross domestic product (GDP). Historically, using a simple regression function, the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) has been used to correlate regional and global GDP values. In early 2013, the first global Suomi National Polar-orbiting Partnership (NPP) visible infrared imaging radiometer suite (VIIRS) nighttime light data were released. Compared with DMSP/OLS, they have a higher spatial resolution and a wider radiometric detection range. This paper aims to study the suitability of the two nighttime light data sources for estimating the GDP relationship between the provincial and city levels in Mainland China, as well as of different regression functions. First, NPP/VIIRS nighttime light data for 2014 are corrected with DMSP/OLS data for 2013 to reduce the background noise in the original data. Subsequently, three regression functions are used to estimate the relationship between nighttime light data and GDP statistical data at the provincial and city levels in Mainland China. Then, through the comparison of the relative residual error (RE) and the relative root mean square error (RRMSE) parameters, a systematical assessment of the suitability of the GDP estimation is provided. The results show that the NPP/VIIRS nighttime light data are better than the DMSP/OLS data for GDP estimation, whether at the provincial or city level, and that the power function and polynomial models are better for GDP estimation than the linear regression model. This study reveals that the accuracy of GDP estimation based on nighttime light data is affected by the resolution of the data and the spatial scale of the study area, as well as by the land cover types and industrial structures of the study area. |
| WOS关键词 | ELECTRIC-POWER CONSUMPTION ; GROSS DOMESTIC PRODUCT ; REMOTE-SENSING DATA ; URBANIZATION DYNAMICS ; ECONOMIC STATISTICS ; SATELLITE IMAGERY ; CHINA ; POPULATION |
| 资助项目 | National Key Research and Development Plan Program of China[2016YFB0501502] ; National Key Research and Development Plan Program of China[2016YFC0503701] ; National Science and Technology Major Project of China[00-Y30B14-9001-14/16] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000395590500147 |
| 出版者 | MDPI AG |
| 资助机构 | National Key Research and Development Plan Program of China ; National Science and Technology Major Project of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64761]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Yunfeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Zhaoxin,Hu, Yunfeng,Zhao, Guanhua. The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels[J]. SUSTAINABILITY,2017,9(2):15. |
| APA | Dai, Zhaoxin,Hu, Yunfeng,&Zhao, Guanhua.(2017).The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels.SUSTAINABILITY,9(2),15. |
| MLA | Dai, Zhaoxin,et al."The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels".SUSTAINABILITY 9.2(2017):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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