Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data

Applied Energy

Volumn 184, Issue , 2016, Pages 450-463

  Shi, Kaifang ^a,b   Chen, Yun ^b   Yu, Bailang ^a   Xu, Tingbao ^c   Yang, Chengshu ^a   Li, Linyi ^d   Huang, Chang ^e   Chen, Zuoqi ^a   Liu, Rui ^a   Wu, Jianping ^a  

^a East China Normal University   (China)

^b CSIRO   (Australia)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^d WUHAN UNIVERSITY   (China)

^e NORTHWEST UNIVERSITY   (China)

Author keywords

DMSP OLS; Electric power consumption; Nighttime light; Remote sensing; Spatiotemporal dynamics

Indexed keywords

CARBON; ECONOMICS; ELECTRIC POWER UTILIZATION; ELECTRIC UTILITIES; REMOTE SENSING;

DEFENSE METEOROLOGICAL SATELLITE PROGRAMS; DMSP-OLS; ELECTRIC POWER CONSUMPTION; NIGHT-TIME LIGHTS; NIGHTTIME STABLE LIGHTS; SCIENTIFIC EVIDENCE; SPATIO-TEMPORAL DYNAMICS; SPATIO-TEMPORAL VARIATION;

DYNAMICS;

ACCURACY ASSESSMENT; CALIBRATION; CARBON EMISSION; ELECTRICAL POWER; ENERGY EFFICIENCY; INDUSTRIALIZATION; PIXEL; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; URBANIZATION;

CHINA; EUROPE; NORTH AMERICA;

EID: 84992616435     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.10.032     Document Type: Article

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