DocumentCode
2138732
Title
Discriminating vegetation with hyperspectral imagery - what is possible?
Author
Lewis, M.M.
Author_Institution
Dept. of Soil & Water, Adelaide Univ., SA, Australia
Volume
6
fYear
2001
fDate
2001
Firstpage
2899
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
Keywords
agriculture; geophysical signal processing; geophysical techniques; multidimensional signal processing; vegetation mapping; Australia; IR; agriculture; airborne remote sensing; discrimination; geophysical measurement technique; horticulture; hyperspectral imagery; hyperspectral remote sensing; image analysis; infrared; natural vegetation; plant groups; plant types; spectral characteristics; spectral library; variability; vegetation mapping; visible; Australia; Hyperspectral imaging; Hyperspectral sensors; Infrared spectra; Libraries; Pigmentation; Plants (biology); Reflectivity; Soil; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.978199
Filename
978199
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