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Comparative analysis of spectral unmixing and neural networks for estimating small diameter tree above-ground biomass in the State of Mississippi

The accumulation of small diameter trees (SDTs) is becoming a nationwide concern. Forest management practices such as fire suppression and selective cutting of high grade timber have contributed to an overabundance of SDTs in many areas. Alternative value-added utilization of SDTs (for composite wood products and biofuels) has prompted the need to estimate their...

Author(s):

Moham P. Tiruveedhula; Joseph Fan; Ravi R. Sadasivuni; Surya S. Durbha; David L. Evans

Year:

2010

Keywords:

Minimum noise fraction, supervised classification, spectral angle mapping.

Source:

In: Merry, K.; Bettinger, P.; Fan, J.; Kushla, J.; Litts, T.; Siry, J.; Hepinstall-Cymerman, J.; Song, B. eds. Proceedings of the 7th Southern Forestry and Natural Resources GIS Conference, December 7-9, 2009. Warnell School of Forestry and Natural Resources: University of Georgia, Athens, GA. p. 76-85.

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Comparative analysis of spectral unmixing and neural networks for estimating small diameter tree above-ground biomass in the State of Mississippi

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