TROPICAL FOREST BIOMASS AND ITS RELATIONSHIP WITH P - BAND SAR DATA
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Abstract
attributes of primary and regenerating forest and also to estimate aerial biomass of such formations. The approach used
was the analysis of the relation between backscatter and biomass data estimated by four specific allometric equations.
The Bivariate Intensities HH-HV image was segmented and the mean s° of each segment was converted into biomass
by the best fit function (the heat capacity model) and following that the biomass was mapped. As a conclusion, the best
allometric equations for primary and secondary forest biomass estimation were defined, considering the different
polarizations of P-band SAR data. The methodology used in this treatment of P-band data might improve the regional
monitoring of Amazonian land cover change, a process whose speed was accelerated as a result of human action in the
Amazon during the last two decades.
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