Share Email Print
cover

Proceedings Paper

Hyperspectral sensing of forests
Author(s): David G. Goodenough; Andrew Dyk; Hao Chen; Geordie Hobart; K. Olaf Niemann; Ash Richardson
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Canada contains 10% of the world's forests covering an area of 418 million hectares. The sustainable management of these forest resources has become increasingly complex. Hyperspectral remote sensing can provide a wealth of new and improved information products to resource managers to make more informed decisions. Research in this area has demonstrated that hyperspectral remote sensing can be used to create more accurate products for forest inventory, forest health, foliar biochemistry, biomass, and aboveground carbon than are currently available. This paper surveys recent methods and results in hyperspectral sensing of forests and describes space initiatives for hyperspectral sensing.

Paper Details

Date Published: 10 November 2007
PDF: 15 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957W (10 November 2007); doi: 10.1117/12.780344
Show Author Affiliations
David G. Goodenough, Natural Resources Canada (Canada)
Univ. of Victoria (Canada)
Andrew Dyk, Natural Resources Canada (Canada)
Univ. of Victoria (Canada)
Hao Chen, Natural Resources Canada (Canada)
Geordie Hobart, Natural Resources Canada (Canada)
K. Olaf Niemann, Univ. of Victoria (Canada)
Ash Richardson, Natural Resources Canada (Canada)
Univ. of Victoria (Canada)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

© SPIE. Terms of Use
Back to Top