%0 Conference Proceedings
%4 dpi.inpe.br/sbsr@80/2006/11.13.18.19
%2 dpi.inpe.br/sbsr@80/2006/11.13.18.19.09
%@isbn 978-85-17-00031-7
%T Utilização de dados polarimétricos e interferométricos SAR para estimativa de biomassa de povoamentos de Eucalyptus
%D 2007
%A Gama, Fábio Furlan,
%A Santos, João Roberto dos,
%A Mura, José Claudio,
%A Freitas, Corina da Costa,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress fabio@dpi.inpe.br
%@electronicmailaddress jroberto@dsr.inpe.br
%@electronicmailaddress mura@dpi.inpe.br
%@electronicmailaddress corina@dpi.inpe.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR).
%C Florianópolis
%8 21-26 abr. 2007
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4857-4864
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K SAR, interferometry, polarimetry, forest inventory, SAR, interferometria, polarimetria, inventário florestal.
%X The main goal of this paper was to establish the relationship between a Eucalyptus biomass and the interferometric and polarimetric data response, obtained from a SAR sensor (Synthetic Aperture Radar), using multivariable regression techniques. A 6.1 year old Eucalyptus grandis populated area was selected for the study. The results pointed out that the biomass from the stands was highly correlated with the square interferometric height (Hint2), obtained from the square difference between interferometric models in X and P bands, and the CSI (Canopy structure index) index. The results showed that due to the fact that the population of individuals whose structure was predominantly cylindrical and vertically oriented, caused a higher interaction with the vertical polarization. The higher wavelength P band radiometry associated with the interferometry (CSI and Hint2) could estimate the biomass, which obtained 86,29% of determination coefficient in relation to the area forest inventory.
%9 Pesquisa e Aplicações com Radar
%@language pt
%3 4857-4864.pdf