Studying urban development and change in the contiguous United States using two scaled measures derived from nighttime lights data and population census

References

• Amaral, S., G. Câmara, A. M. V. Monteiro, J. A. Quintanilha, and C. D. Elvidge. 2005. “Estimating Population and Energy Consumption in Brazilian Amazonia Using DMSP Night-Time Satellite Data.” Computers, Environment & Urban Systems 29 (2): 179–195.
   Google Scholar
• Bhatta, B. 2010. Analysis of Urban Growth and Sprawl from Remote Sensing Data. Berlin: Springer-Verlag.
   Google Scholar
• Bhatta, B., S. Saraswati, and D. Bandyopadhyay. 2010. “Urban Sprawl Measurement from Remote Sensing Data.” Applied Geography 30 (4): 731–740.
   Web of Science ®Google Scholar
• Cao, X., J. Chen, H. Imura, and O. Higashi. 2009. “A SVM-Based Method to Extract Urban Areas from DMSP-OLS and SPOT VGT Data.” Remote Sensing of Environment 113 (10): 2205–2209.
   Web of Science ®Google Scholar
• Deng, J. S., K. Wang, H. Yang, and J. G. Qi. 2009. “Spatio-Temporal Dynamics and Evolution of Land Use Change and Landscape Pattern in Response to Rapid Urbanization.” Landscape and Urban Planning 92 (3–4): 187–198.
   Web of Science ®Google Scholar
• Elvidge, C. D., K. E. Baugh, E. A. Kihn, H. W. Kroehl, and E. R. Davis. 1997a. “Mapping of City Lights Using DMSP Operational Linescan System Data.” Photogrammetric Engineering and Remote Sensing 63 (6): 727–734.
   Web of Science ®Google Scholar
• Elvidge, C. D., K. E. Baugh, E. A. Kihn, H. W. Kroehl, E. R. Davis, and C. Davis. 1997b. “Relation between Satellite Observed Visible – Near Infrared Emissions, Population, and Energy Consumption.” International Journal of Remote Sensing 18 (6): 1373–1379.
   Web of Science ®Google Scholar
• Elvidge, C. D., D. Ziskin, K. E. Baugh, B. T. Tuttle, T. Ghosh, D. W. Pack, E. H. Erwin, and M. Zhizhin 2009. “A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data.” Energies 2 (3): 595–622.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Forster, B. 1985. “An Examination of Some Problems and Solutions in Monitoring Urban Areas from Satellite Platforms.” International Journal of Remote Sensing 6 (1): 139–151.
   Web of Science ®Google Scholar
• Fry, J., G. Xian, S. Jin, J. Dewitz, C. Homer, L. Yang, C. Barnes, N. Herold, and J. Wickham. 2011. “Completion of the 2006 National Land Cover Database for the Conterminous United States.” Photogrammetric Engineering and Remote Sensing 77 (9): 858–864.
   Google Scholar
• Gallo, K. P., C. D. Elvidge, L. Yang, and B. C. Reed. 2004. “Trends in Night-Time City Lights and Vegetation Indices Associated with Urbanization Within the Conterminous USA.” International Journal of Remote Sensing 25 (10): 2003–2007.
   Web of Science ®Google Scholar
• Getis, A., and J. K. Ord. 1992. “The Analysis of Spatial Association by Use of Distance Statistics.” Geographical Analysis 24 (3): 189–206.
   Web of Science ®Google Scholar
• Goodchild, M. F. 1986. Spatial Autocorrelation. CATMOG 47. Accessed August 2, 2013. http://qmrg.org.uk/files/2008/11/47-spatial-aurocorrelation.pdf
   Google Scholar
• Hasse, J. E., and R. G. Lathrop. 2003. “Land Resource Impact Indicators of Urban Sprawl.” Applied Geography 23 (2–3): 159–175.
   Web of Science ®Google Scholar
• He, C., Q. Ma, Z. Liu, and Q. Zhang. 2013. “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. doi:10.1080/17538947.2013.822026.
   Google Scholar
• Henderson, M., E. T. Yeh, P. Gong, C. D. Elvidge, and K. E. Baugh. 2003. “Validation of Urban Boundaries Derived from Global Night-Time Satellite Imagery.” International Journal of Remote Sensing 24 (3): 595–609.
   Web of Science ®Google Scholar
• Homer, C., C. Huang, L. Yang, B. Wylie, and M. Coan. 2004. “Development of a 2001 National Land Cover Database for the United States.” Photogrammetric Engineering and Remote Sensing 70 (7): 829–840.
   Web of Science ®Google Scholar
• Imhoff, M. L., W. T. Lawrence, D. C. Stutzer, and C. D. Elvidge. 1997. “A Technique for Using Composite DMSP/OLS ‘City Lights’ Satellite Data to Accurately Map Urban Areas.” Remote Sensing of Environment 61 (3): 361–370.
   Web of Science ®Google Scholar
• Jensen, J. R., and D. C. Cowen. 1999. “Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes.” Photogrammetric Engineering and Remote Sensing 65 (5): 611–622.
   Web of Science ®Google Scholar
• Levin, N., and Y. Duke. 2012. “High Spatial Resolution Night-Time Light Images for Demographic and Socio-Economic Studies.” Remote Sensing of Environment 119: 1–10.
   Web of Science ®Google Scholar
• Li, X., and A. G. O. Yeh. 2004. “Analyzing Spatial Restructuring of Land Use Patterns in a Fast Growing Region Using Remote Sensing and GIS.” Landscape and Urban Planning 69 (4): 335–354.
   Web of Science ®Google Scholar
• Liu, Z., C. He, Q. Zhang, Q. Huang, and Y. Yang. 2012. “Extracting the Dynamics of Urban Expansion in China Using DMSP-OLS Nighttime Light Data from 1992 to 2008.” Landscape and Urban Planning 106 (1): 62–72.
   Web of Science ®Google Scholar
• Ma, T., C. Zhou, T. Pei, S. Haynie, and J. Fan. 2012. “Quantitative Estimation of Urbanization Dynamics Using Time Series of DMSP/OLS Nighttime Light Data: A Comparative Case Study from China’s Cities.” Remote Sensing of Environment 124: 99–107.
   Web of Science ®Google Scholar
• Marshall, J. D. 2007. “Urban Land Area and Population Growth: A New Scaling Relationship for Metropolitan Expansion.” Urban Studies 44 (10): 1889–1904.
   Web of Science ®Google Scholar
• Martinuzzi, S., W. A. Gould, and O. M. R. Gonzalez. 2007. “Land Development, Land Use, and Urban Sprawl in Puerto Rico Integrating Remote Sensing and Population Census Data.” Landscape and Urban Planning 79 (3–4): 288–297.
   Web of Science ®Google Scholar
• Masek, J. G., F. E. Lindsay, and S. N. Goward. 2000. “Dynamics of Urban Growth in the Washington DC Metropolitan Area, 1973–1996, from Landsat Observations.” International Journal of Remote Sensing 21 (18): 3473–3486.
   Web of Science ®Google Scholar
• Milesi, C., C. D. Elvidge, R. R. Nemani, and S. W. Running. 2003. “Assessing the Impact of Urban Land Development on Net Primary Productivity in the Southeastern United States.” Remote Sensing of Environment 86 (3): 401–410.
   Web of Science ®Google Scholar
• Minnesota Population Center. 2012. National Historical Geographic Information System: Version 2.0. Minneapolis: University of Minnesota.
   Google Scholar
• MRLC. 2012. “National Land Cover Database (NLCD).” Accessed August 2, 2013. http://www.mrlc.gov/
   Google Scholar
• NASA. 2012. “Earth at Night 2012.” Accessed August 2, 2013. http://earthobservatory.nasa.gov/Features/NightLights/?src=features-recent
   Google Scholar
• NOAA. 2012. “Version 4 DMSP-OLS Nighttime Lights Time Series.” Accessed August 2, 2013. http://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html
   Google Scholar
• Office of Management and Budget (OMB). 2010. “2010 Standards for Delineating Metropolitan and Micropolitan Statistical Areas.” Federal Register, Vol. 75, No. 123. June 28, 2010/Notices. Accessed August 2, 2013. http://www.whitehouse.gov/sites/default/files/omb/assets/fedreg_2010/06282010_metro_standards-Complete.pdf
   Google Scholar
• Propastin, P., and M. Kappas. 2012. “Assessing Satellite-Observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan.” GIScience & Remote Sensing 49 (4): 538–557.
   Web of Science ®Google Scholar
• Schneider, A., and C. E. Woodcock. 2008. “Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-Five Global Cities Using Remotely Sensed Data, Pattern Metrics and Census Information.” Urban Studies 45 (3): 659–692.
   Web of Science ®Google Scholar
• Small, C., C. D. Elvidge, D. Balk, and M. Montgomery. 2011. “Spatial Scaling of Stable Night Lights.” Remote Sensing of Environment 115 (2): 269–280.
   Web of Science ®Google Scholar
• Small, C., F. Pozzi, and C. D. Elvidge. 2005. “Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights.” Remote Sensing of Environment 96 (3–4): 277–291.
   Web of Science ®Google Scholar
• Stewart, J. Q., and W. Warntz. 1958. “Physics of Population Distribution.” Journal of Regional Science 1 (1): 99–121.
   Web of Science ®Google Scholar
• Sutton, P., D. Roberts, C. Elvidge, and K. Baugh. 2001. “Census from Heaven: An Estimate of the Global Human Population Using Night-Time Satellite Imagery.” International Journal of Remote Sensing 22 (16): 3061–3076.
   Web of Science ®Google Scholar
• Sutton, P., C. Roberts, C. Elvidge, and H. Meij. 1997. “A Comparison of Nighttime Satellite Imagery and Population Density for the Continental United States.” Photogrammetric Engineering and Remote Sensing 63 (11): 1303–1313.
   Web of Science ®Google Scholar
• Sutton, P. C. 2003. “A Scale-Adjusted Measure of ‘Urban Sprawl’ Using Nighttime Satellite Imagery.” Remote Sensing of Environment 86 (3): 353–369.
   Web of Science ®Google Scholar
• U.S. Census Bureau. 2000. “Census 2000 TIGER/Line® Files Technical Documentation.” Accessed August 2, 2013. http://www2.census.gov/geo/tiger/tiger2k/tiger2k.pdf
   Google Scholar
• U.S. Census Bureau. 2011. “Population distribution and change: 2000 to 2010. 2010 Census Briefs.” Accessed August 9, 2013. http://www.census.gov/prod/cen2010/briefs/c2010br-01.pdf
   Google Scholar
• U.S. Census Bureau. 2012. “Growth in Urban Population Outpaces Rest of Nation, Census Bureau Reports.” Accessed August 2, 2013. http://www.census.gov/newsroom/releases/archives/2010_census/cb12-50.html
   Google Scholar
• U.S. Department of Agriculture (USDA). 2009. Summary Report: 2007 National Resources Inventory, Natural Resources Conservation Service, Washington, DC, and Center for Survey Statistics and Methodology, 123p. Ames: Iowa State University. Accessed August 2, 2013. http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1041379.pdf
   Google Scholar
• Vogelmann, J. E., S. M. Howard, L. Yang, C. R. Larson, B. K. Wylie, and N. Van Driel. 2001. “Completion of the 1990’s National Land Cover Data Set for the Conterminous United States from Landsat Thematic Mapper Data and Ancillary Data Sources.” Photogrammetric Engineering and Remote Sensing 67 (6): 650–662.
   Web of Science ®Google Scholar
• Wilson, E. H., J. D. Hurd, D. L. Civco, M. P. Prisloe, and C. Arnold. 2003. “Development of a Geospatial Model to Quantify, Describe and Map Urban Growth.” Remote Sensing of Environment 86 (3): 275–285.
   Web of Science ®Google Scholar
• Yang, X., and C. P. Lo. 2002. “Using a Time Series of Satellite Imagery to Detect Land Use and Land Cover Changes in the Atlanta, Georgia Metropolitan Area.” International Journal of Remote Sensing 23 (9): 1775–1798.
   Web of Science ®Google Scholar
• Zhang, Q., and K. C. Seto. 2011. “Mapping Urbanization Dynamics at Regional and Global Scales Using Multi-Temporal DMSP/OLS Nighttime Light Data.” Remote Sensing of Environment 115 (9): 2320–2329.
   Web of Science ®Google Scholar
• Zhang, Q., J. Wang, X. Peng, P. Gong, and P. Shi. 2002. “Urban Built-up Land Change Detection with Road Density and Spectral Information from Multi-Temporal Landsat TM Data.” International Journal of Remote Sensing 23 (15): 3057–3078.
   Web of Science ®Google Scholar
• Zipf, G. K. 1949. Human Behavior and the Principle of Least-Effort. Cambridge, MA: Addison-Wesley.
   Google Scholar