Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics
文献类型：期刊论文
| 作者 | Ma, Ting1,2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2018-07-01 |
| 卷号 | 10期号:7页码:17 |
| 关键词 | VIIRS nighttime light social media uses human activity multi-level relationships spatial autocorrelation spatial consistency |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs10071128 |
| 通讯作者 | Ma, Ting(mting@lreis.ac.cn) |
| 英文摘要 | Satellite-based measurements of the artificial nighttime light brightness (NTL) have been extensively used for studying urbanization and socioeconomic dynamics in a temporally consistent and spatially explicit manner. The increasing availability of geo-located big data detailing human population dynamics provides a good opportunity to explore the association between anthropogenic nocturnal luminosity and corresponding human activities, especially at fine time/space scales. In this study, we used Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB)-derived nighttime light images and the gridded number of location requests (NLR) from China's largest social media platform to investigate the quantitative relationship between nighttime light radiances and human population dynamics across China at four levels: the provincial, city, county, and pixel levels. Our results show that the linear relationship between the NTL and NLR might vary with the observation level and magnitude. The dispersion between the two variables likely increases with the observation scale, especially at the pixel level. The effect of spatial autocorrelation and other socioeconomic factors on the relationship should be taken into account for nighttime light-based measurements of human activities. Furthermore, the bivariate relationship between the NTL and NLR was employed to generate a partition of human settlements based on the combined features of nighttime lights and human population dynamics. Cross-regional comparisons of the partitioned results indicate a diverse co-distribution of the NTL and NLR across various types of human settlements, which could be related to the city size/form and urbanization level. Our findings may provide new insights into the multi-level responses of nighttime light signals to human activity and the potential application of nighttime light data in association with geo-located big data for investigating the spatial patterns of human settlement. |
| WOS关键词 | ELECTRIC-POWER CONSUMPTION ; SOCIOECONOMIC ACTIVITY ; URBANIZATION DYNAMICS ; ECONOMIC-ACTIVITY ; IMAGERY ; CHINA ; DMSP/OLS ; AREAS ; PREDICTABILITY ; PATTERNS |
| 资助项目 | National Natural Science Foundation of China[41771418] ; National Natural Science Foundation of China[41421001] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007] ; National Science and Technology Key Project[2016YFB0502301] ; National Key Basic Research Program of China[2015CB954101] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000440332500151 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Science and Technology Key Project ; National Key Basic Research Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54449]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Ting |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Ting. Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics[J]. REMOTE SENSING,2018,10(7):17. |
| APA | Ma, Ting.(2018).Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics.REMOTE SENSING,10(7),17. |
| MLA | Ma, Ting."Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics".REMOTE SENSING 10.7(2018):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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