Graduate Project

 

A TM-based hardwood-conifer mixture index for closed canopy forests in the Oregon Coast Range Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_projects/08612p322

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  • The purpose of this study was to develop, implement, and test methods for quantifying the relative proportion of hardwood and conifer cover from Thematic Mapper (TM) imagery. The research was focused on closed canopy forests in the Oregon Coast Range, where hardwood, conifer, and mixed stand conditions are prevalent. Based on an understanding of the patterns of spectral variation expressed by these forests in TM data space, it was hypothesized that a vegetation index could be developed to measure hardwood-conifer mixing proportions. An approach based on the Gramm-Schmidt orthogonalization process was used to derive three slightly different hardwood-conifer mixture indices (HCMIs). Using correlation and regression techniques, the effectiveness of these indices as a measure of closed canopy hardwood proportion was compared with three other groups of spectral variables: (1) the untransformed TM reflectance bands, (2) the tasseled cap indices of brightness, greenness, and wetness, and (3) the first three principal components of closed canopy forest pixels. Results indicate that the Gramm-Schmidt process was an effective method for deriving an index that was strongly correlated with closed canopy hardwood proportion (r = 0.82).
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