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

The characterization of forested landscapes is frequently required in civil engineering practice. In this study, some spatial analysis techniques are presented that might be employed with Landsat TM data to analyze forest structure characteristics. A case study is presented wherein fractal dimension...

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Bibliographic Details
Published in:Advances in civil engineering 2012-01, Vol.2012 (2012), p.1-14
Main Authors: al-Hamdan, Mohammad Z., Cruise, James F., Rickman, Douglas L., Quattrochi, Dale A.
Format: Article
Language:English
Subjects:
Autocorrelation
Bridge design
Civil engineering
Density
Environmental impact
Flood profiles
Floodplains
Forests
Fractal analysis
Fractals
Hydraulic roughness
Impact analysis
Landsat
Landscapes
National forests
Remote sensing
Softwoods
Spatial analysis
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Summary:The characterization of forested landscapes is frequently required in civil engineering practice. In this study, some spatial analysis techniques are presented that might be employed with Landsat TM data to analyze forest structure characteristics. A case study is presented wherein fractal dimensions (FDs), along with a simple spatial autocorrelation technique (Moran’s I), were related to stand density parameters of the Oakmulgee National Forest located in the southeastern United States (Alabama). The results indicate that when smaller trees do not dominate the landscape (
ISSN:1687-8086
1687-8094
DOI:10.1155/2012/945613