Leaf level experiments to discriminate between eucalyptus species using high spectral resolution reflectance data: use of derivatives, ratios and vegetation indices

Title
Leaf level experiments to discriminate between eucalyptus species using high spectral resolution reflectance data: use of derivatives, ratios and vegetation indices
Publication Date
2010
Author(s)
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Skidmore, Andrew K
Mutanga, Onisimo
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Taylor & Francis
Place of publication
United Kingdom
DOI
10.1080/10106040903505996
UNE publication id
une:7550
Abstract
The purpose of this study was to investigate the potential of imaging spectroscopy for the discrimination between eucalyptus species. High spectral reflectance signatures of 11 eucalyptus species were measured in the laboratory and significant differences at a number of wavelength positions were detected. There were differences in terms of absolute reflectance, depths of absorption features and the relative position of change in terms of the wavelength. The differences between species were more noticeable in the first derivative spectra when compared with the raw spectra. This was attributed to the ability of derivatives to remove the noise from raw reflectance spectra. The results also indicate the possibility of utilizing the common vegetation indices and ratios used in remote sensing for discriminating species and highlight the need to select spectral channels at pertinent positions where the differences are the greatest. This study has identified many of these positions in relation to some eucalyptus species. However, the study also shows that there is no single wavelength which will discriminate between all species and it also shows that even with hyperspectral data, issues with detailed level of mapping will still exist.
Link
Citation
Geocarto International, 25(4), p. 327-344
ISSN
1752-0762
1010-6049
Start page
327
End page
344

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