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Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/39292

Type: Journal article
Title: Use of hyperspectral imagery for mapping grape varieties in the Barossa Valley, South Australia
Author: Lacar, F.
Lewis, M.
Grierson, I.
Citation: CompCon: IEEE Computer Society International Conference, 2001; 6:2875-2877
Publisher: I E E E, Computer Society
Issue Date: 2001
ISSN: 1063-6390
Statement of
Responsibility: 
F.M. Lacar, M.M. Lewis and I.T. Grierson
Abstract: The wine industry is important to Australia's economy. With the advances in remote sensing there has been increasing interest in its potential application for vineyard varietal, condition and health mapping. CASI (Compact Airborne Spectrographic Imager) data was obtained over a vineyard in the Barossa Valley, South Australia in an attempt to discriminate between the grape cultivars (Vitis vinifera) , Cabernet Sauvignon and Shiraz. Statistical analysis of sample spectra from the two varieties in the CASI imagery showed that the significant differences in the visible region. Maximum likelihood classification was employed to map the two grape varieties present on the site. Classification was performed using 12 visible and near infrared CASI bands and repeated using a spectral subset of seven bands shown to be most significant in separating the varieties. Discrimination between Cabernet Sauvignon and Shiraz was successful with 91.5% of vine rows correctly classified. Spectral subsetting did not improve classification and led to under classification of vine pixels.
Keywords: Remote sensing; Congresses; earth sciences
RMID: 0020071928
DOI: 10.1109/IGARSS.2001.978191
Appears in Collections:Earth and Environmental Sciences publications
Environment Institute publications
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