Forest Stand Size-Species Models Using Spatial Analyses of Remotely Sensed Data

Forest Stand Size-Species Models Using Spatial Analyses of Remotely Sensed Data

Regression models to predict stand size classes (sawtimber and saplings) and categories of species (hardwood and softwood) from fractal dimensions (FD) and Moran’s I derived from Landsat Thematic Mapper (TM) data were developed. Three study areas (Oakmulgee National Forest, Bankhead National Forest,...

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Bibliographic Details
Main Authors: Mohammad Al-Hamdan, James Cruise, Douglas Rickman, Dale Quattrochi
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Remote Sensing
Subjects:
remote sensing
fractal dimensions
Moran’s I
forested landscapes
size-species models
Online Access:http://www.mdpi.com/2072-4292/6/10/9802

Internet

http://www.mdpi.com/2072-4292/6/10/9802

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