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Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China
Ma, Ting1,2,3
2018-09-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:9Pages:15
Corresponding AuthorMa, Ting(mting@lreis.ac.cn)
AbstractRemotely sensed artificial lighting radiances at night can provide spatially explicit proxy measures of the magnitude of human activity. Satellite-derived nighttime light images, mainly provided by the Defense Meteorological Satellite Program (DMSP) and the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB), have been increasingly used to study demographic and socioeconomic activities for a wide range of issues-for instance, human population dynamics, economic growth, and urbanization process-at multiple scales. In practice, the lack of texture information regarding man-made surfaces would usually lead to substantial difficulty in delineating the spatial dynamics in human settlements due to the diverse distributions of artificial nocturnal lighting sources, which are closely related to the predominant land-use/land-cover (LULC) types and their evolutions. An understanding of how nighttime lighting signals respond to synchronous anthropogenic LULC changes, therefore, is crucially important for the spatiotemporal investigations of human settlement dynamics. In this study, we used DMSP-derived nighttime light (NTL) data and Landsat-derived LULC maps to quantitatively estimate the pixel-level responses of NTL signals to different types of human-induced LULC conversions between 1995 and 2010 across China. Our results suggest that the majority (>70%) of pixel-level LULC conversions into artificial lands (including urban, rural, and built-up lands) might show a statistically significant increase in nighttime brightness with an average >20 (in digital number, DN) step change in nighttime lights (dNTL), both of which are distinctly higher than that in the LULC conversions into non-man-made surfaces on the whole. A receiver operating characteristic (ROC) curve-based analysis implies that we might have an average chance of -90% to identify the nationwide LULC conversions into man-made surfaces from all types of conversions through the observed changes in artificial nocturnal luminosity signals. Moreover, ROC curve-based analyses also yield two nation-level optimal dNTL thresholds of 4.8 and 7.8 DN for recognizing newly emerged three types of artificial lands and urban lands between 1995 and 2010 across the entire country, respectively. In short, our findings reveal fundamental insights into the quantitative connections between the anthropogenic LULC changes and the corresponding responses of synchronous nightlight signals at the pixel-level, which are generally essential for further applications of satellite-derived nocturnal luminosity data in the spatiotemporal investigations of human settlement dynamics.
Keywordnighttime light land-use/land-cover change step change artificial lands optimal threshold
DOI10.3390/rs10091447
WOS KeywordSPATIOTEMPORAL CHARACTERISTICS ; URBANIZATION DYNAMICS ; IMAGERY ; DMSP/OLS ; AREAS ; LUMINOSITY ; PATTERNS ; SCALES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41590845] ; 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]
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:000449993800127
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52541
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. Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China[J]. REMOTE SENSING,2018,10(9):15.
APA Ma, Ting.(2018).Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China.REMOTE SENSING,10(9),15.
MLA Ma, Ting."Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China".REMOTE SENSING 10.9(2018):15.
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