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A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...

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Mapping Biomass Loss from Forest Fires in a Dense Forest of Western ParáAne Alencar, Oswaldo de Carvalho Jr., Daniel Nepstad, Richard Houghton, Sanae HyashiDuring dry years, carbon emissions from <strong>Amazon</strong> forest understory fires may exceed thoseassoci<strong>at</strong>ed <strong>with</strong> deforest<strong>at</strong>ion, but remote detection mechanisms for fire-induced biomass loss areyet to be developed. Little is known about <strong>the</strong> spectral properties of forest fire scars and <strong>the</strong>irrel<strong>at</strong>ionship to changes in ground-level biomass. In this study, remote sensing transform<strong>at</strong>iontechniques were used to determine spectrally fire disturbance levels and response to biomassloss. The study site was a ~250 km 2 forest understory fire scar resulting from <strong>the</strong>1997/1998 ElNino event, loc<strong>at</strong>ed 100 km south of Santarém, Western Pará. Field interviews were conducted todetermine <strong>the</strong> burning and logging history of <strong>the</strong> fire scar, and showed three levels of burning andlogging intensity. Subsequently, biomass, fuel load, and LAI were measured in four 500x 500 mplots - three burning intensity levels and a primary forest control plot. Aboveground biomass was170, 184, 370, and 423 Mg ha -1 in forests <strong>with</strong> heavy, moder<strong>at</strong>e, light, and no fire history,respectively. A multi-d<strong>at</strong>e analysis using Lands<strong>at</strong> TM and ETM images from 1997, 1999 and 2001identified changes in <strong>the</strong> spectral signal before, during and after <strong>the</strong> burning event. Preliminaryresults indic<strong>at</strong>e th<strong>at</strong>, when compared to field measures of biomass and LAI, Lands<strong>at</strong> bands 4 and5 provided <strong>the</strong> most accur<strong>at</strong>e detection of burn intensity. This method reveals <strong>the</strong> potential formonitoring fire effects on dense forest biomass in <strong>Amazon</strong>ia using remote sensing techniques.1 Instituto de Pesquisa Ambietal da Amazônia2 Woods Hole Research Center* Corresponding author: Avenida Nazare 669. Belem, PA - Brazil 66035-170Email:ane@amazon.com.br

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