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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.
David G. Goodenough,Andrew Dyk,Hao Chen,Geordie Hobart,K. Olaf Niemann, andAsh Richardson
"Hyperspectral sensing of forests", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957W (10 November 2007); https://doi.org/10.1117/12.780344
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David G. Goodenough, Andrew Dyk, Hao Chen, Geordie Hobart, K. Olaf Niemann, Ash Richardson, "Hyperspectral sensing of forests," Proc. SPIE 6795, Second International Conference on Space Information Technology, 67957W (10 November 2007); https://doi.org/10.1117/12.780344