Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/39296
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Type: Journal article
Title: Discriminating vegetation with hyperspectral imagery - what is possible?
Author: Lewis, M.
Citation: CompCon: IEEE Computer Society International Conference, 2001; 6:2899-2901
Publisher: I E E E, Computer Society
Issue Date: 2001
ISSN: 1063-6390
Statement of
Responsibility: 
M.M. Lewis
Abstract: This paper summarises recent research conducted within the Spatial Information Research Group at Adelaide University, which has explored the spectral characteristics and variability of several plant groups and aimed to apply airborne hyperspectral imagery to tasks involving the discrimination of different plant types. The settings for the research have included both natural vegetation communities and horticultural enterprises in southern Australia. The paper discusses the relevance of the conventional spectral library concept for hyperspectral studies, comments on hyperspectral image analysis methodologies that appear to be useful for vegetation studies, and presents results to date.
RMID: 0020071922
DOI: 10.1109/IGARSS.2001.978199
Appears in Collections:Earth and Environmental Sciences publications
Environment Institute publications

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