Identification of green and dry vegetation components with a cross-correlogram spectral matching technique
A cross-correlogram spectral matching technique is proposed for discrimination of green and dry vegetation. By examining the reflectance spectra of fresh green leaves, dry leaves, dry bark, and dry wood, it was found that dry leaves had a diagnostic absorption feature near 1730 nm and the chlorophyll absorption feature near 680 nm was the main diagnostic feature in green leaves. By calculating the cross correlation between a reference spectrum and test spectra at different match positions in these two spectral regions, it was possible to separate green leaf, dry leaf, and dry bark components with 100 per cent accuracy.
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