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Using DMSP OLS Imagery to Characterize Urban Populations in Developed and Developing Countries

  • Paul C. Sutton
  • Matthew J. Taylor
  • Christopher D. Elvidge
Chapter
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 10)

Abstract

Nighttime Satellite imagery shows great potential for mapping and monitoring many human activities including: (1) population size, distribution, and growth, (2) urban extent and rates of urbanization, (3) impervious surface, (4) energy consumption, and (5) CO2 emissions. Surprisingly the relatively coarse spectral, spatial, and temporal resolution of the imagery proves to be an advantage rather than a disadvantage for these applications.

Keywords

Impervious Surface Landsat Imagery Modifiable Areal Unit Problem Urban Cluster Guatemala City 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Netherlands 2010

Authors and Affiliations

  • Paul C. Sutton
    • 1
  • Matthew J. Taylor
    • 2
  • Christopher D. Elvidge
    • 3
  1. 1.Department of GeographyUniversity of DenverDenverUSA
  2. 2.Department of GeographyUniversity of DenverDenverUSA
  3. 3.Earth Observation GroupNOAA National Geophysical Data CenterBoulderUSA

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