DocumentCode
2942375
Title
Spectroradiometric analysis in a hyperspectral use perspective to discriminate between forest species
Author
Pinard, V. ; Bannari, A.
Author_Institution
Dept. of Geogr., Ottawa Univ., Ont., Canada
Volume
7
fYear
2003
fDate
21-25 July 2003
Firstpage
4301
Abstract
Spectroradiometric analysis of seven types of forest cover (white spruce, trembling aspen, tamarack, balsam fir, black spruce and herbaceous vegetation) in a hyperspectral use perspective to discriminate between forest species was carried out. The preliminary results analysis revealed that the 700 to 1350 nm region was the most appropriate for discriminating between the species compared in this study.
Keywords
forestry; radiometry; remote sensing; 700 to 1350 nm; balsam fir; black spruce; herbaceous vegetation; hyperspectral; spectroradiometric analysis; spruce; tamarack; trembling aspen; Economic forecasting; Environmental economics; Geography; Geoscience and remote sensing; Hyperspectral imaging; Hyperspectral sensors; Remote sensing; Satellites; Spectroradiometers; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1295496
Filename
1295496
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