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Volumn 53, Issue 2, 2016, Pages 265-282

World energy consumption pattern as revealed by DMSP-OLS nighttime light imagery

Author keywords

DMSP OLS; Electric power consumption; nighttime light; overall energy consumption; socioeconomic factors; temperature

Indexed keywords

AGGLOMERATION; CONSUMPTION BEHAVIOR; ENERGY USE; GROSS DOMESTIC PRODUCT; IMAGE ANALYSIS; SOCIOECONOMIC STATUS;

EID: 84959463403     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2015.1124488     Document Type: Article
Times cited : (96)

References (38)
  • 1
    • 84867230202 scopus 로고    scopus 로고
    • Exploring the Bi-Directional long run relationship between urbanization, energy consumption, and carbon dioxide emission
    • Al-mulali, U., C. N. B. C. Sab, H. G. Fereidouni. 2012. Exploring the Bi-Directional Long Run Relationship between Urbanization, Energy Consumption, and Carbon Dioxide Emission.Energy 46 (1): 156-167. doi: 10.1016/j.energy.2012.08.043.
    • (2012) Energy , vol.46 , Issue.1 , pp. 156-167
    • Al-Mulali, U.1    Sab, C.N.B.C.2    Fereidouni, H.G.3
  • 2
    • 11344268445 scopus 로고    scopus 로고
    • Estimating population and energy consumption in Brazilian Amazonia Using DMSP Night-Time Satellite Data
    • Amaral, S., G. Câmara, A. M. V. Monteiro, J. A. Quintanilha, C. D. Elvidge. 2005. Estimating Population and Energy Consumption in Brazilian Amazonia Using DMSP Night-Time Satellite Data.Computers, Environment and Urban Systems 29 (2): 179-195. doi: 10.1016/j.compenvurbsys.2003.09.004.
    • (2005) Computers, Environment and Urban Systems , vol.29 , Issue.2 , pp. 179-195
    • Amaral, S.1    Câmara, G.2    Monteiro, A.M.V.3    Quintanilha, J.A.4    Elvidge, C.D.5
  • 5
    • 67650673069 scopus 로고    scopus 로고
    • Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS Night-Time Satellite Data
    • Chand, T. R. K., K. V. S. Badarinath, C. D. Elvidge, B. T. Tuttle. 2009. Spatial Characterization of Electrical Power Consumption Patterns over India Using Temporal DMSP-OLS Night-Time Satellite Data.International Journal of Remote Sensing 30 (3): 647-661. doi: 10.1080/01431160802345685.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.3 , pp. 647-661
    • Chand, T.R.K.1    Badarinath, K.V.S.2    Elvidge, C.D.3    Tuttle, B.T.4
  • 6
    • 84937877686 scopus 로고    scopus 로고
    • A Test of the New VIIRS Lights Data Set: Population and economic output in Africa
    • Chen, X., W. Nordhaus. 2015. A Test of the New VIIRS Lights Data Set: Population and Economic Output in Africa.Remote Sensing 7 (4): 4937-4947. doi: 10.3390/rs70404937.
    • (2015) Remote Sensing , vol.7 , Issue.4 , pp. 4937-4947
    • Chen, X.1    Nordhaus, W.2
  • 7
    • 79957965484 scopus 로고    scopus 로고
    • Estimating the relationship between Urban Forms and Energy consumption: A case study in the Pearl River Delta 2005-2008
    • Chen, Y., X. Li, Y. Zheng, Y. Guan, X. Liu. 2011. Estimating the Relationship between Urban Forms and Energy Consumption: A Case Study in the Pearl River Delta, 2005-2008.Landscape and Urban Planning 102 (1): 33-42. doi: 10.1016/j.landurbplan.2011.03.007.
    • (2011) Landscape and Urban Planning , vol.102 , Issue.1 , pp. 33-42
    • Chen, Y.1    Li, X.2    Zheng, Y.3    Guan, Y.4    Liu, X.5
  • 10
    • 46649107128 scopus 로고    scopus 로고
    • The impact of Urban Form on US Residential energy use
    • Ewing, R., F. Rong. 2008. The Impact of Urban Form on US Residential Energy Use.Housing Policy Debate 19 (1): 1-30. doi: 10.1080/10511482.2008.9521624.
    • (2008) Housing Policy Debate , vol.19 , Issue.1 , pp. 1-30
    • Ewing, R.1    Rong, F.2
  • 11
    • 33645968123 scopus 로고    scopus 로고
    • Analyzing impact factors of CO2 Emissions Using the STIRPAT Model
    • Fan, Y., L. C. Liu, G. Wu, Y. M. Wei. 2006. Analyzing Impact Factors of CO2 Emissions Using the STIRPAT Model.Environmental Impact Assessment Review 26 (4): 377-395. doi: 10.1016/j.eiar.2005.11.007.
    • (2006) Environmental Impact Assessment Review , vol.26 , Issue.4 , pp. 377-395
    • Fan, Y.1    Liu, L.C.2    Wu, G.3    Wei, Y.M.4
  • 12
    • 84886600977 scopus 로고    scopus 로고
    • Multi-Scale analysis of the relationship between economic statistics and DMSP-OLS Night Light Images
    • Forbes, D. J. 2013. Multi-Scale Analysis of the Relationship between Economic Statistics and DMSP-OLS Night Light Images. GIScience & Remote Sensing 50 (5):483-499.
    • (2013) GIScience & Remote Sensing , vol.50 , Issue.5 , pp. 483-499
    • Forbes, D.J.1
  • 13
    • 84855305525 scopus 로고    scopus 로고
    • Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 Modeled Using DMSP/OLS Stable Nighttime lights data
    • He, C., Q. Ma, T. Li, Y. Yang, Z. Liu. 2012. Spatiotemporal Dynamics of Electric Power Consumption in Chinese Mainland from 1995 to 2008 Modeled Using DMSP/OLS Stable Nighttime Lights Data.Journal of Geographical Sciences 22 (1): 125-136. doi: 10.1007/s11442-012-0916-3.
    • (2012) Journal of Geographical Sciences , vol.22 , Issue.1 , pp. 125-136
    • He, C.1    Ma, Q.2    Li, T.3    Yang, Y.4    Liu, Z.5
  • 14
    • 84884179306 scopus 로고    scopus 로고
    • Modeling the spatiotemporal dynamics of electric power consumption in mainland China using saturation-Corrected DMSP/OLS Nighttime stable light data
    • He, C., Q. Ma, Z. Liu, Q. Zhang. 2014. Modeling the Spatiotemporal Dynamics of Electric Power Consumption in Mainland China Using Saturation-Corrected DMSP/OLS Nighttime Stable Light Data.International Journal of Digital Earth 7 (12): 1-22.
    • (2014) International Journal of Digital Earth , vol.7 , Issue.12 , pp. 1-22
    • He, C.1    Ma, Q.2    Liu, Z.3    Zhang, Q.4
  • 15
    • 84864614392 scopus 로고    scopus 로고
    • Assessing satellite-observed nighttime lights for monitoring socioeconomic parameters in the republic of Kazakhstan
    • Kappas, M., P. Propastin. 2012. Assessing Satellite-Observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan.GIScience & Remote Sensing 49 (4): 538-557. doi: 10.2747/1548-1603.49.4.538.
    • (2012) GIScience & Remote Sensing , vol.49 , Issue.4 , pp. 538-557
    • Kappas, M.1    Propastin, P.2
  • 16
    • 77950516297 scopus 로고    scopus 로고
    • Energy consumption and economic development in sub-sahara Africa
    • Kebede, E., J. Kagochi, C. M. Jolly. 2010. Energy Consumption and Economic Development in Sub-Sahara Africa.Energy Economics 32 (3): 532-537. doi: 10.1016/j.eneco.2010.02.003.
    • (2010) Energy Economics , vol.32 , Issue.3 , pp. 532-537
    • Kebede, E.1    Kagochi, J.2    Jolly, C.M.3
  • 17
    • 40849137411 scopus 로고    scopus 로고
    • Modeling of electricity consumption in the asian gaming and tourism Center-Macao SAR, Peoples republic of China
    • Lai, T. M., W. M. To, W. C. Lo, Y. S. Choy. 2008. Modeling of Electricity Consumption in the Asian Gaming and Tourism Center-Macao SAR, Peoples Republic of China.Energy 33 (5): 679-688. doi: 10.1016/j.energy.2007.12.007.
    • (2008) Energy , vol.33 , Issue.5 , pp. 679-688
    • Lai, T.M.1    To, W.M.2    Lo, W.C.3    Choy, Y.S.4
  • 18
    • 84941013079 scopus 로고    scopus 로고
    • Generating the nighttime light of the human settlements by identifying periodic Components from DMSP/OLS Satellite Imagery
    • Letu, H., M. Hara, G. Tana, Y. Bao, F. Nishio. 2015. Generating the Nighttime Light of the Human Settlements by Identifying Periodic Components from DMSP/OLS Satellite Imagery.Environ Sci Technol 49 (17): 10503-10509. doi: 10.1021/acs.est.5b02471.
    • (2015) Environ Sci Technol , vol.49 , Issue.17 , pp. 10503-10509
    • Letu, H.1    Hara, M.2    Tana, G.3    Bao, Y.4    Nishio, F.5
  • 19
    • 77956627444 scopus 로고    scopus 로고
    • Estimating energy consumption from Night-Time DMPS/OLS Imagery after correcting for saturation effects
    • Letu, H., M. Hara, H. Yagi, K. Naoki, G. Tana, F. Nishio, O. Shuhei. 2010. Estimating Energy Consumption from Night-Time DMPS/OLS Imagery after Correcting for Saturation Effects.International Journal of Remote Sensing 31 (16): 4443-4458. doi: 10.1080/01431160903277464.
    • (2010) International Journal of Remote Sensing , vol.31 , Issue.16 , pp. 4443-4458
    • Letu, H.1    Hara, M.2    Yagi, H.3    Naoki, K.4    Tana, G.5    Nishio, F.6    Shuhei, O.7
  • 20
    • 84969265145 scopus 로고    scopus 로고
    • Regional-Scale estimation of electric power and power plant CO2 Emissions Using DMSP/OLS Nighttime satellite data
    • Letu, H., T. Y. Nakajima, F. Nishio. 2014. Regional-Scale Estimation of Electric Power and Power Plant CO2 Emissions Using DMSP/OLS Nighttime Satellite Data.Environmental Science & Technology Letters 1 (5): 259-265. doi: 10.1021/ez500093s.
    • (2014) Environmental Science & Technology Letters , vol.1 , Issue.5 , pp. 259-265
    • Letu, H.1    Nakajima, T.Y.2    Nishio, F.3
  • 21
    • 84861222933 scopus 로고    scopus 로고
    • Modelling the impact of Urban form on household energy demand and related CO 2 Emissions in the Greater Dublin Region
    • Liu, X., J. Sweeney. 2012. Modelling the Impact of Urban Form on Household Energy Demand and Related CO 2 Emissions in the Greater Dublin Region.Energy Policy 46: 359-369. doi: 10.1016/j.enpol.2012.03.070.
    • (2012) Energy Policy , vol.46 , pp. 359-369
    • Liu, X.1    Sweeney, J.2
  • 22
    • 1642512060 scopus 로고    scopus 로고
    • UrbAN INDICATORS of China from Radiance-Calibrated digital DMSP-OLS Nighttime Images
    • Lo, C. P. 2002. Urban Indicators of China from Radiance-Calibrated Digital DMSP-OLS Nighttime Images.Annals of the Association of American Geographers 92 (2): 225-240. doi: 10.1111/1467-8306.00288.
    • (2002) Annals of the Association of American Geographers , vol.92 , Issue.2 , pp. 225-240
    • Lo, C.P.1
  • 23
    • 84870347972 scopus 로고    scopus 로고
    • Relationship between Urban Form and CO 2Emissions: Evidence from fifty Japanese cities
    • Makido, Y., S. Dhakal, Y. Yamagata. 2012. Relationship between Urban Form and CO 2 Emissions: Evidence from Fifty Japanese Cities.Urban Climate 2: 55-67. doi: 10.1016/j.uclim.2012.10.006.
    • (2012) Urban Climate , vol.2 , pp. 55-67
    • Makido, Y.1    Dhakal, S.2    Yamagata, Y.3
  • 24
    • 77953371576 scopus 로고    scopus 로고
    • Modeling Energy Consumption and CO 2 Emissions at the Urban scale: Methodological challenges and insights from the United States
    • Parshall, L., K. Gurney, S. A. Hammer, D. Mendoza, Y. Zhou, S. Geethakumar. 2010. Modeling Energy Consumption and CO 2 Emissions at the Urban Scale: Methodological Challenges and Insights from the United States.Energy Policy 38 (9): 4765-4782. doi: 10.1016/j.enpol.2009.07.006.
    • (2010) Energy Policy , vol.38 , Issue.9 , pp. 4765-4782
    • Parshall, L.1    Gurney, K.2    Hammer, S.A.3    Mendoza, D.4    Zhou, Y.5    Geethakumar, S.6
  • 25
    • 84894627399 scopus 로고    scopus 로고
    • Evaluating the Ability of NPP-VIIRS Nighttime light data to estimate the gross domestic product and the electric power consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data
    • Shi, K., B. Yu, Y. Huang, Y. Hu, B. Yin, Z. Chen, L. Chen, J. Wu. 2014. Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data.Remote Sensing 6 (2): 1705-1724. doi: 10.3390/rs6021705.
    • (2014) Remote Sensing , vol.6 , Issue.2 , pp. 1705-1724
    • Shi, K.1    Yu, B.2    Huang, Y.3    Hu, Y.4    Yin, B.5    Chen, Z.6    Chen, L.7    Wu, J.8
  • 26
    • 84926523056 scopus 로고    scopus 로고
    • A new method for extracting built-Up Urban Areas Using DMSP-OLS Nighttime Stable Lights: A case study in the pearl river delta, Southern China
    • Su, Y., X. Chen, C. Wang, H. Zhang, J. Liao, Y. Ye, C. Wang. 2015. A New Method for Extracting Built-Up Urban Areas Using DMSP-OLS Nighttime Stable Lights: A Case Study in the Pearl River Delta, Southern China.GIScience & Remote Sensing 52 (2): 218-238. doi: 10.1080/15481603.2015.1007778.
    • (2015) GIScience & Remote Sensing , vol.52 , Issue.2 , pp. 218-238
    • Su, Y.1    Chen, X.2    Wang, C.3    Zhang, H.4    Liao, J.5    Ye, Y.6    Wang, C.7
  • 28
    • 77649190930 scopus 로고    scopus 로고
    • Assessment of climate change impact on residential building heating and cooling energy requirement in Australia
    • Wang, X., D. Chen, Z. Ren. 2010. Assessment of Climate Change Impact on Residential Building Heating and Cooling Energy Requirement in Australia.Building and Environment 45 (7): 1663-1682. doi: 10.1016/j.buildenv.2010.01.022.
    • (2010) Building and Environment , vol.45 , Issue.7 , pp. 1663-1682
    • Wang, X.1    Chen, D.2    Ren, Z.3
  • 29
    • 84912567298 scopus 로고    scopus 로고
    • Impacts of energy-Related CO2 Emissions: Evidence from under developed, developing and highly developed regions in China
    • Wang, Y., T. Zhao. 2015. Impacts of Energy-Related CO2 Emissions: Evidence from under Developed, Developing and Highly Developed Regions in China.Ecological Indicators 50: 186-195. doi: 10.1016/j.ecolind.2014.11.010.
    • (2015) Ecological Indicators , vol.50 , pp. 186-195
    • Wang, Y.1    Zhao, T.2
  • 30
    • 0018911526 scopus 로고
    • Monitoring urban population and energy utilization patterns from satellite data
    • Welch, R. 1980. Monitoring Urban Population and Energy Utilization Patterns from Satellite Data.Remote Sensing of Environment 9 (1): 1-9. doi: 10.1016/0034-4257(80)90043-7.
    • (1980) Remote Sensing of Environment , vol.9 , Issue.1 , pp. 1-9
    • Welch, R.1
  • 31
    • 84997000858 scopus 로고    scopus 로고
    • What is spacial about global Urban remote sensing?
    • edited by Q. Weng Boca Raton, FL: CRC Press/Taylor & Francis
    • Weng, Q. 2014. What Is Spacial about Global Urban Remote Sensing? In Global Urban Monitoring and Assessment through Earth Observation, edited by Q. Weng., 1-12. Boca Raton, FL: CRC Press/Taylor & Francis.
    • (2014) Global Urban Monitoring and Assessment Through Earth Observation , pp. 1-12
    • Weng, Q.1
  • 32
    • 84959530710 scopus 로고    scopus 로고
    • Global Urban observation and information: GEOs Effort to Address the impacts of human settlements
    • edited by Q. Weng Boca Raton, FL: CRC Press/Taylor & Francis
    • Weng, Q., T. Esch, P. Gamba, D. A. Quattrochi, G. Xian. 2014. Global Urban Observation and Information: GEOs Effort to Address the Impacts of Human Settlements.In Global Urban Monitoring and Assessment through Earth Observation, edited by Q. Weng., 15-34. Boca Raton, FL: CRC Press/Taylor & Francis.
    • (2014) Global Urban Monitoring and Assessment Through Earth Observation , pp. 15-34
    • Weng, Q.1    Esch, T.2    Gamba, P.3    Quattrochi, D.A.4    Xian, G.5
  • 33
    • 84875793108 scopus 로고    scopus 로고
    • Exploring factors affecting the relationship between light consumption and GDP Based on DMSP/OLS Nighttime satellite imagery
    • Wu, J., Z. Wang, W. Li, J. Peng. 2013. Exploring Factors Affecting the Relationship between Light Consumption and GDP Based on DMSP/OLS Nighttime Satellite Imagery.Remote Sensing of Environment 134: 111-119. doi: 10.1016/j.rse.2013.03.001.
    • (2013) Remote Sensing of Environment , vol.134 , pp. 111-119
    • Wu, J.1    Wang, Z.2    Li, W.3    Peng, J.4
  • 34
    • 0345531004 scopus 로고    scopus 로고
    • STIRPAT, IPAT and Impact: Analytic tools for unpacking the driving forces of environmental impacts
    • York, R., E. A. Rosa, T. Dietz. 2003. STIRPAT, IPAT and Impact: Analytic Tools for Unpacking the Driving Forces of Environmental Impacts.Ecological Economics 46 (3): 351-365. doi: 10.1016/S0921-8009(03)00188-5.
    • (2003) Ecological Economics , vol.46 , Issue.3 , pp. 351-365
    • York, R.1    Rosa, E.A.2    Dietz, T.3
  • 35
    • 84869231658 scopus 로고    scopus 로고
    • The vegetation adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity
    • Zhang, Q., C. Schaaf, K. C. Seto. 2013. The Vegetation Adjusted NTL Urban Index: A New Approach to Reduce Saturation and Increase Variation in Nighttime Luminosity.Remote Sensing of Environment 129: 32-41. doi: 10.1016/j.rse.2012.10.022.
    • (2013) Remote Sensing of Environment , vol.129 , pp. 32-41
    • Zhang, Q.1    Schaaf, C.2    Seto, K.C.3
  • 36
    • 84861867506 scopus 로고    scopus 로고
    • Mapping Spatio-Temporal changes of Chinese electric power consumption using night-Time imagery
    • Zhao, N., T. Ghosh, E. L. Samson. 2012. Mapping Spatio-Temporal Changes of Chinese Electric Power Consumption Using Night-Time Imagery.International Journal of Remote Sensing 33 (20): 6304-6320. doi: 10.1080/01431161.2012.684076.
    • (2012) International Journal of Remote Sensing , vol.33 , Issue.20 , pp. 6304-6320
    • Zhao, N.1    Ghosh, T.2    Samson, E.L.3
  • 37
    • 84884173965 scopus 로고    scopus 로고
    • Modeling the effect of climate change on US State-Level Buildings energy demands in an integrated assessment framework
    • Zhou, Y., L. Clarke, J. Eom, P. Kyle, P. Patel, S. H. Kim, J. Dirks, E. Jensen, Y. Liu, J. Rice. 2014. Modeling the Effect of Climate Change on US State-Level Buildings Energy Demands in an Integrated Assessment Framework.Applied Energy 113: 1077-1088. doi: 10.1016/j.apenergy.2013.08.034.
    • (2014) Applied Energy , vol.113 , pp. 1077-1088
    • Zhou, Y.1    Clarke, L.2    Eom, J.3    Kyle, P.4    Patel, P.5    Kim, S.H.6    Dirks, J.7    Jensen, E.8    Liu, Y.9    Rice, J.10
  • 38
    • 84880520171 scopus 로고    scopus 로고
    • The effect of global climate change, population distribution, and climate mitigation on building energy Use in the U.S. and China
    • Zhou, Y., J. Eom, L. Clarke. 2013. The Effect of Global Climate Change, Population Distribution, and Climate Mitigation on Building Energy Use in the U.S. and China.Climatic Change 119 (3-4): 979-992. doi: 10.1007/s10584-013-0772-x.
    • (2013) Climatic Change , vol.119 , Issue.3-4 , pp. 979-992
    • Zhou, Y.1    Eom, J.2    Clarke, L.3


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