The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distribution

References

• ABARE, 2007, Australian consumption of electricity, by state – gigawatts. In Australian Energy Consumption and Production, 1974–75 to 2004–05. Statistical Tables: Historical. Australian Bureau of Agriculture and Resource Economics, Canberra, Australia. http://www.abareconomics.com/interactive/energy/htm/tables.htm (http://www.abareconomics.com/interactive/energy/htm/tables.htm) (Accessed: 20 August 2008 ).
   Google Scholar
• ABS, 2006, Australian historical population statistics, 2006. Australian Bureau of Statistics, Commonwealth of Australia, Sydney, Australia, Document no. 3105.0.65.001. http://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/3105.0.65.0012006?OpenDocument (http://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/3105.0.65.0012006?OpenDocument)
   Google Scholar
• ABS . 2007a . “ Statistical geography: Volume 2 – Census Geographic Areas ” . In 2006 Census DataPack – Basic Community Profile Release 2. Catalogue no. 2069.0.30.001 , Sydney , , Australia : Australian Bureau of Statistics, Commonwealth of Australia .
   Google Scholar
• ABS . 2007b . “ 2006 Community profile series – time series profile. Catalogue no. 2003.0 ” . In Australian Bureau of Statistics, Commonwealth of Australia Sydney , , Australia
   Google Scholar
• Amaral , S. , Câmara , G. , Miguel , A. , Monteiro , V. , Quintanilha , J.A. and Elvidge , C.D. 2005 . Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data . Computers, Environment and Urban Systems , 29 : 179 – 195 .
   Google Scholar
• Amaral , S. , Câmara , G. , Miguel , A. , Monteiro , V. and Quintanilha , J.A. 2006 . DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon . International Journal of Remote Sensing , 27 : 855 – 870 .
   Web of Science ®Google Scholar
• Briggs , D.J. , Gulliver , J. , Fecht , D. and Vienneau , D.M. 2006 . Dasymetric modelling of small-area population distribution using land cover and light emissions data . Remote Sensing of Environment , 108 : 451 – 466 .
   Web of Science ®Google Scholar
• Chalkias , C. , Petrakis , M. , Psiloglou , B. and Lianou , M. 2006 . Modelling of light pollution in suburban areas using remotely sensed imagery and GIS . Journal of Environmental Management , 79 : 57 – 63 .
   PubMed Web of Science ®Google Scholar
• Cho , K. , Ito , R. , Shimoda , H. and Sakata , T. 1999 . Fishing fleet lights and sea surface temperature distribution observed by DMSP/OLS sensor . International Journal of Remote Sensing , 20 : 3 – 9 .
   Web of Science ®Google Scholar
• Cinzano, P., 2006, Recent progresses on a second world atlas of the night-sky brightness – LPTRAN/LPDART realistic models, tomography of light pollution, accurate validation methods and extended satellite data analysis. Meeting of the IAU Comm. 50 Working Group Light Pollution, XXVI IAU General Assembly, Praha, 23 August 2006. http://www.inquinamentoluminoso.it/download/iau06cinzano.pdf (http://www.inquinamentoluminoso.it/download/iau06cinzano.pdf)
   Google Scholar
• Cinzano , P. and Elvidge , C.D. 2004 . Night sky brightness at sites from DMSP-OLS satellite measurements . Monthly Notices of the Royal Astronomical Society , 353 : 1107 – 1116 .
   Web of Science ®Google Scholar
• Cinzano, P., Falchi, F., Elvidge, C.D. and Baugh, K.E.,1999, Mapping the artificial sky brightness in Europe from DMSP satellite measurements: the situation of the night sky in Italy in the last quarter of century. Poster presented at the XLIII Meeting of the Italian Astronomical Society. http://www.lightpollution.it/cinzano/download/9905340.pdf (http://www.lightpollution.it/cinzano/download/9905340.pdf)
   Google Scholar
• Cinzano , P. , Falchi , F. , Elvidge , C.D. and Baugh , K.E. 2000 . The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements . Monthly Notices of the Royal Astronomical Society , 318 : 641 – 657 .
   Web of Science ®Google Scholar
• Cinzano , P. , Falchi , F. and Elvidge , C.D. 2001a . Naked-eye star visibility and limiting magnitude mapped from DMSP-OLS satellite data . Monthly Notices of the Royal Astronomical Society , 323 : 34 – 46 .
   Web of Science ®Google Scholar
• Cinzano , P. , Falchi , F. and Elvidge , C.D. 2001b . The first world atlas of the artificial night sky brightness . Monthly Notices of the Royal Astronomical Society , 328 : 689 – 707 .
   Web of Science ®Google Scholar
• Doll , C.N.H. , Muller , J.-P. and Elvidge , C.D. 2000 . Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions . Ambio , 29 : 157 – 162 .
   Web of Science ®Google Scholar
• Doll , C.N.H. , Muller , J.-P. and Morley , J.G. 2006 . Mapping regional economic activity from night-time light satellite imagery . Ecological Economics , 57 : 75 – 92 .
   Web of Science ®Google Scholar
• Ebener , S. , Murray , C. , Tandon , A. and Elvidge , C.D. 2005 . From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery . International Journal of Health Geographics , 4 : 1 – 17 .
   PubMedGoogle Scholar
• Elvidge , C.D. , Baugh , K.E. , Hobson , V.R. , Kihn , E. , Kroehl , H.W. , Davis , E. and Cocero , D. 1997 . Satellite inventory of human settlements using nocturnal radiation emissions: a contribution for the global toolchest . Global Change Biology , 3 : 387 – 395 .
   Web of Science ®Google Scholar
• Elvidge , C.D. , Imhoff , M.L. , Baugh , K.E. , Hobson , V.R. , Nelson , I. , Safran , J. , Dietz , J.B. and Tuttle , B.T. 2001a . Night-time lights of the world 1994-1995 . Journal of Photogrammetry & Remote Sensing , 56 : 81 – 99 .
   Web of Science ®Google Scholar
• Elvidge , C.D. , Hobson , V.R. , Baugh , K.E. , Dietz , J.B. , Shimabukuro , Y.E. , Krug , T. , Novo , E.M.L.M. and Echavarria , F.R. 2001b . DMSP-OLS estimation of tropical forest area impacted by surface fires in Roraima, Brazil: 1995 versus 1998 . International Journal of Remote Sensing , 22 : 2661 – 2673 .
   Web of Science ®Google Scholar
• Elvidge , C.D. , Baugh , K.E. , Safran , J. , Tuttle , B.T. , Howard , A.T. , Hayes , P.J. , Jantzen , J. and Erwin , E.H. 2005 . “ Preliminary results from nighttime lights change detection ” . In Proceedings of the International Society of Photogrammetry and Remote Sensing 14 – 16 . Tempe , AZ March 2005
   Google Scholar
• Elvidge , C.D. , Cinzano , P. , Pettit , D.R. , Arvensen , J. , Sutton , P. , Small , C. , Nemani , R. , Longcore , T. , Rich , C. , Safran , J. , Weeks , J. and Ebener , S. 2007 . The Nightsat 510 mission concept . International Journal of Remote Sensing , 28 : 2645 – 2670 .
   Web of Science ®Google Scholar
• Florida , R. , Gulden , T. and Mellander , C. 2008 . The rise of the mega-region . Cambridge Journal of Regions, Economy and Society , 1 : 459 – 476 .
   Web of Science ®Google Scholar
• GA, 2004, Geodata Coast 100K 2004. Published by Geoscience Australia, Department of Industry, Tourism and Resources, Commonwealth of Australia. http://www.ga.gov.au/nmd/products/thematic/coast.jsp (http://www.ga.gov.au/nmd/products/thematic/coast.jsp) (Accessed: 2 October 2008 ).
   Google Scholar
• Henderson , M. , Yeh , E.T. , Gong , P. , Elvidge , C.D. and Baugh , K. 2003 . Validation of urban boundaries derived from global night-time satellite imagery . International Journal of Remote Sensing , 24 : 595 – 609 .
   Web of Science ®Google Scholar
• Imhoff , M.L. , Lawrence , W.T. , Stutzer , D.C. and Elvidge , C.D. 1997 . A technique for using composite DMSP/OLS ‘City Lights’ satellite data to map urban area . Remote Sensing and Environment , 61 : 361 – 370 .
   Web of Science ®Google Scholar
• Imhoff , M.L. , Bounoua , L. , DeFries , R. , Lawrence , W.T. , Stutzer , D. , Tucker , C.J. and Rickett , T. 2004 . The consequences of urban land transformation on net primary productivity in the United States . Remote Sensing of Environment , 89 : 434 – 443 .
   Web of Science ®Google Scholar
• Kohiyama , M. , Hayashi , H. , Maki , N. , Higashida , M. , Kroehl , H.W. , Elvidge , C.D. and Hobson , V.R. 2004 . Early damaged area estimation system using DMSP-OLS night-time imagery . International Journal of Remote Sensing , 25 : 2015 – 2036 .
   Web of Science ®Google Scholar
• Milesi , C. , Elvidge , C.D. , Nemani , R.R. and Runnings , S.W. 2003 . Assessing the impact of urban land development on net primary productivity in the southeastern United States . Remote Sensing of Environment , 86 : 273 – 432 .
   Web of Science ®Google Scholar
• NGDC, 2008a, Version 2 DMSP-OLS nighttime lights time series. National Geophysical Data Center, National Oceanic and Atmospheric Administration, United States Department of Commerce. http://www.ngdc.noaa.gov/dmsp/global_composites_ v2.html (http://www.ngdc.noaa.gov/dmsp/global_composites_ v2.html) (Accessed: 27 Sept 2008 ).
   Google Scholar
• NGDC, 2008b, OLS-Operational Linescan System. National Geophysical Data Center, National Oceanic and Atmospheric Administration, United States Department of Commerce. http://www.ngdc.noaa.gov/dmsp/sensors/ols.html (http://www.ngdc.noaa.gov/dmsp/sensors/ols.html) (Accessed: 27 Sept 2008 ).
   Google Scholar
• Owen , T.W. , Gallo , K.P , Elvidge , C.D. and Baugh , K.E. 1998 . Using DMSP-OLS light frequency data to categorize urban environments associated with US climate observing stations . International Journal of Remote Sensing , 19 : 3451 – 3456 .
   Web of Science ®Google Scholar
• Pettit, D., 2008, Cities at night, an orbital tour around the world. NASA JSC Houston, TX 77058 281 244-8917. Video http://earthobservatory.nasa.gov/Features/CitiesAtNight/ (http://earthobservatory.nasa.gov/Features/CitiesAtNight/)
   Google Scholar
• Saxon , E.C. , Parris , T. and Elvidge , C.D. Satellite surveillance of national CO2 emissions from fossil fuels . Development Discussion Paper no. 608 . Harvard Institute of International Development, Harvard University .
   Google Scholar
• Small , C. , Pozzi , F. and Elvidge , C.D. 2005 . Spatial analysis of global urban extent from DMSP-OLS night lights . Remote Sensing of Environment , 96 : 277 – 291 .
   Web of Science ®Google Scholar
• Sutton , P. 1997 . Modeling population density with night-time satellite imagery and GIS . Computers Environment and Urban Systems , 21 : 227 – 244 .
   Google Scholar
• Sutton , P.C. 2003 . A scale-adjusted measure of ‘Urban sprawl’ using nighttime satellite imagery . Remote Sensing of Environment , 86 : 353 – 369 .
   Web of Science ®Google Scholar
• Sutton , P.C. , Roberts , D. , Elvidge , C.D. and Baugh , K. 2001 . Census from Heaven: an estimate of the global human population using night-time satellite imagery . International Journal of Remote Sensing , 22 : 3061 – 3076 .
   Web of Science ®Google Scholar
• Sutton , P.C. , Elvidge , C.D. and Ghosh , T. 2007 . Estimation of gross domestic product at sub-national scales using nighttime satellite imagery. International . Journal of Ecological Economics & Statistics , 8 : 5 – 12 .
   Google Scholar
• Toenges-Schuller , N. , Stein , O. , Rohrer , F. , Wahner , A. , Richter , A. , Burrows , J.P. , Beirle , S. , Wagner , T. , Platt , U. and Elvidge , C.D. 2006 . Global distribution pattern of anthropogenic nitrogen oxide emissions: correlation analysis of satellite measurements and model calculations . Journal of Geophysical Research, Part D-Atmospheres, , 111 andD05312
   Google Scholar
• UNEP, 2006, Poster. Nightlights of North America: Showing energy use. United Nations Environment Programme, Division of Early Warning & Assessment, Washington, DC, USA. http://na.unep.net/posters/NightLight.pdf (http://na.unep.net/posters/NightLight.pdf) (Accessed: 27 Sept 2008 ).
   Google Scholar
• Waluda , C.M. , Trathan , P.N. , Elvidge , C.D. , Hobson , V.R. and Rodhouse , P.G. 2002 . Throwing light on straddling stocks of Ilex argentinus: assessing fishing intensity with satellite imagery . Canadian Journal of Fisheries and Aquatic Sciences , 59 : 592 – 596 .
   Web of Science ®Google Scholar
• Welch , R. 1980 . Monitoring urban population and energy utilization patterns from satellite data . Remote Sensing of Environment , 9 : 1 – 9 .
   Web of Science ®Google Scholar