@InProceedings{SantosGamaNarv:2011:BrScMi,
               author = "Santos, Jo{\~a}o Roberto dos and Gama, F{\'a}bio Furlan and 
                         Narvaes, Igor da Silva",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Forest biomass modeling by polarimetric and interferometric SAR 
                         data: the Brazilian scientific missions",
                 year = "2011",
         organization = "Carbo Forest Conference.",
             keywords = "Biomass modeling, forest inventory, SAR data, tropical forest, 
                         reforested.",
             abstract = "This work presents two practical examples of polarimetric and/or 
                         interferometric attributes of SAR data to improve the knowledge of 
                         structural aspects of forest typologies. At the first, we discuss 
                         the important role of polarimetric and interferometric airborne 
                         SAR data (OrbiSAR-1 system using bands of XHH and PHH, HV, VH and 
                         VV) for the aboveground biomass estimation of Eucalyptus sp. 
                         Stands, to subsidize the operational forest management activities 
                         for the production of cellulose. This study area is reforested 
                         with Eucalyptus saligna (aged 6 years, with an average height of 
                         23 m) and also with clonal stands of E. Grandis e E. Urophylla 
                         (aged 2,3 years, with an average height of 14 m). The second is a 
                         contribution of polarimetric attributes of ALOS/PALSAR (L-band) 
                         for aboveground biomass modeling of primary and secondary forest 
                         from Amazonia (Tapaj{\'o}s region, Par{\'a} State). To perform 
                         both studies, we carried out multivariable regression techniques, 
                         using variables obtained from SAR attributes and biophysical 
                         parameters collected during field surveys, which were done 
                         simultaneously to SAR imaging campaign. All SAR data from each 
                         mission were calibrated both radiometrically and geometrically to 
                         extract information during the digital processing. In summary the 
                         results were: (a) the variables combination of Interferometry 
                         Height - HInt 2 (derived from the difference between 
                         interferometric digital elevation model in X- and P- bands) and 
                         Canopy Scattering Index - CSI (ratioof °VV by the sum of °VV and 
                         °HH, which represents the canopy interaction) are important in 
                         this Eucalyptus biomass model; (b) the most significant variables 
                         for tropical forest biomass modeling were the °HH coefficient, the 
                         volume scattering component of Freemans decomposition, the Touzis 
                         magnitude of the second component, the phase of the second and 
                         third components and the heliticity mean angle. Aiming to validate 
                         the results obtained by the models, a set of independent data from 
                         the forest inventory were generated, which indicated a prediction 
                         average error of 10% to estimate the Eucalyptus biomass and below 
                         20% to the tropical forest. These results obtained in the 
                         reforested areas and tropical forests show the importance of 
                         combining several SAR attributes, focusing on models of forest 
                         stock density.",
  conference-location = "Pol{\^o}nia",
      conference-year = "21 a 23 sept",
             language = "en",
        urlaccessdate = "04 maio 2024"
}