Allometric equations for tropical forest estimation and its relationship with P-band SAR data

摘要

The objective of this research is to show the capacity of P-band polarimetric images to define the space of attributes of primary forest and secondary succession, through the analysis of the relation among backscatter and biomass data (estimated by four specific allometric equations). Based on the best fitted regression equation (heat capacity model) a biomass map was elaborated. This was done through the backscatter image, whose each segment were derived from the thematic classification of Bivariate Intensities HH-HV image, with the o° mean values of each resulting segment converted into biomass by the best fit function. As a conclusion, the best allometric equations for primary and secondary forest biomass estimation was defined, considering the different polarizations of P-band SAR data. The advance that was reached with the treatment of P-band data could improve the regional monitoring process of the land cover change, a process whose speed was accelerated as a result of human action in the Amazon during the last two decades.