Hyperspectral sensing of forests

David G. Goodenough; Andrew Dyk; Hao Chen; Geordie Hobart; K. Olaf Niemann; Ash Richardson

doi:10.1117/12.780344

10 November 2007 Hyperspectral sensing of forests

David G. Goodenough, Andrew Dyk, Hao Chen, Geordie Hobart, K. Olaf Niemann, Ash Richardson

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67957W (2007) https://doi.org/10.1117/12.780344
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

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.

Citation Download Citation

David G. Goodenough, Andrew Dyk, Hao Chen, Geordie Hobart, K. Olaf Niemann, and 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

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