@InProceedings{SantosArFrDuSaKuGa:2003:AlEqTr,
               author = "Santos, Jo{\~a}o Roberto dos and Araujo, Luciana Spinelli de and 
                         Freitas, Corina da Costa and Dutra, Luciano Vieira and Sant'anna, 
                         Sidnei Jo{\~a}o Siqueira and Kuplich, Tatiana Mora and Gama, 
                         F{\'a}bio Furlan",
                title = "Allometric equations for tropical forest estimation and its 
                         relationship with P-band SAR data",
            booktitle = "Proceedings...",
                 year = "2003",
                pages = "1948--1950",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
            publisher = "IEEE",
              address = "New York",
             keywords = "Amazonia, Biomass, P-band, Tropical forest INDEX KEYWORDS: 
                         Biomass, Classification (of information), Electromagnetic wave 
                         backscattering, Light polarization, Mathematical models, Parameter 
                         estimation, Regression analysis, Synthetic aperture radar, 
                         Allometry, Forestry.",
             abstract = "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 ° 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.",
  conference-location = "Toulouse, France",
      conference-year = "21-25 July 2003",
           copyholder = "SID/SCD",
                 isbn = "0-7803-7929-2",
            isbn/issn = "0-7803-7929",
             language = "en",
         organisation = "IEEE",
        urlaccessdate = "02 maio 2024"
}