@Article{SantosGamaBisp:2014:EsFoBi,
               author = "Santos, Jo{\~a}o Roberto dos and Gama, F{\'a}bio Furlan and 
                         Bispo, Polyanna da Concei{\c{c}}{\~a}o",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and European Space 
                         Agency-ESRINFrascati (Roma), Italy",
                title = "Estimating forest biomass by remote sensing radar data in Brazil",
              journal = "Drewno",
                 year = "2014",
               volume = "57",
               number = "192",
                pages = "120--132",
             abstract = "Remote sensing-radar w a susedtoan lyze forest m p n gand b om 
                         assestimates on Brazilian territory. Two examples of SAR 
                         attributes for the modeling of the aboveground biomass of forest 
                         stands are presented: (1) full-polarimetric at tributes of 
                         PALSAR/ALOS (Phased Array type L-band Synthetic Aperture Radar/ 
                         Advanced Land Observing Satellite) for modeling in the Amazonian 
                         tropical forest, considering the influence of the geomorphometric 
                         aspects on this radar response, and (2) polarimetric and 
                         interferometric airborne data (XHH and full-polarimetric of 
                         P-band) for modeling Eucalyptus sp. stands. In both cases, an 
                         analysis of forest structure variability through polarimetric 
                         signatures was conducted. A multivariate regression technique was 
                         used to integrate the variables from polarimetric and/or 
                         interferometric radar attributes and field inventory. Considering 
                         the terrain aspects where the tropical forest was located, the 
                         most significant variables for the biomass modeling were the 
                         Volumetric Scattering of Freeman-Durden target decomposi tion, 
                         Anisotropy, Relief Elevation, Slope, and the first and third 
                         helicity components of the Touzi model. For the Eucalyptus biomass 
                         model, the Interferometry Height and Canopy Scattering Index 
                         variables were significant. The statistical analysis based on 
                         field survey measures to validate each model, indicated a margin 
                         of error below 20% for the biomass estimations, showing the 
                         importance of SAR attributes for models of natural and planted 
                         forest stock density.",
                  doi = "10.12841/wood.1644-3985.S01.08",
                  url = "http://dx.doi.org/10.12841/wood.1644-3985.S01.08",
                 issn = "1644-3985",
                label = "scopus 2014-11 SantosGamaConc:2014:EsFoBi",
             language = "en",
        urlaccessdate = "02 maio 2024"
}