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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1295496
