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Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media-Derived Human Population Dynamics
Ma, Ting1,2,3
2018-07-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:7Pages:17
Corresponding AuthorMa, Ting(mting@lreis.ac.cn)
AbstractSatellite-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.
KeywordVIIRS nighttime light social media uses human activity multi-level relationships spatial autocorrelation spatial consistency
DOI10.3390/rs10071128
WOS KeywordELECTRIC-POWER CONSUMPTION ; SOCIOECONOMIC ACTIVITY ; URBANIZATION DYNAMICS ; ECONOMIC-ACTIVITY ; IMAGERY ; CHINA ; DMSP/OLS ; AREAS ; PREDICTABILITY ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000440332500151
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54450
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMa, Ting
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
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.
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