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Remote Sensing of Roads and Highways in Colorado

Large-Area Road-Surface Quality Classification Using Very-High Spatial Resolution Aerial and Satellite Data

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QuickBird Panchromatic Image


The Colorado Center for Astrodynamics Research Imaging Laboratory at the University of Colorado analyzes high-resolution satellite imagery provided by DigitalGlobe to estimate road surface pavement quality. This information will allow transportation organizations to survey their roads more effectively. The relationship between road surface quality metrics and remotely sensed data will first be established through the correlation of in-situ measurements with aerial imagery. This relationship will then be extended to a larger area using high-resolution satellite imagery.


  1. Create the advisory board and conduct kick-off team meeting and subsequent meetings semianually
  2. Develop satellite/aerial surface quality metrics and correlate with in-situ measurements
  3. Carry out satellite image model portability development
  4. Creation and maintenance of a project web site for the duration of the project
  5. Quarterly reports to the United States Department of Transportation
  6. Assess the ability of the classification scheme to identify and locate roads
  7. Optimization of the classification scheme for high-performance computing
  8. Perform the paved/unpaved surface condition assessments

Colorado Center for Astrodynamics Research
ECNT 320, 431 UCB
University of Colorado
Boulder, CO 80309-0431

Page last updated: October 14, 2014

DISCLAIMER: The views and opinions expressed herein are entirely those of the author and do not represent the views of the Commercial Remote Sensing & Spatial Information Technologies Program, the U.S. Department of Transportation, or any of its Operating Administrations.