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Advances in Civil Engineering
Volume 2012 (2012), Article ID 945613, 14 pages
http://dx.doi.org/10.1155/2012/945613
Research Article

Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation

1Universities Space Research Association at NASA Marshall Space Flight Center, National Space Science and Technology Center, NASA Global Hydrology and Climate Center, Huntsville, AL 35805, USA
2Civil and Environmental Engineering Department, University of Alabama in Huntsville, Huntsville, AL 35899, USA
3Earth Science Office at NASA Marshall Space Flight Center, National Space Science and Technology Center, NASA Global Hydrology and Climate Center, Huntsville, AL 35805, USA

Received 5 August 2011; Accepted 27 December 2011

Academic Editor: Kirk Hatfield

Copyright © 2012 Mohammad Z. Al-Hamdan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Mohammad Z. Al-Hamdan, James F. Cruise, Douglas L. Rickman, and Dale A. Quattrochi, “Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation,” Advances in Civil Engineering, vol. 2012, Article ID 945613, 14 pages, 2012. doi:10.1155/2012/945613