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@InProceedings{CassolAraMorCarShi:2019:PoAlDa,
               author = "Cassol, Henrique Luis Godinho and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de and Moraes, Elisabete Caria and Carreiras, 
                         Jo{\~a}o Manuel de Brito and Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Sheffield} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Polarimetric Alos/Palsar-2 data for retrieving aboveground biomass 
                         of secondary forest in the Brazilian Amazon",
            booktitle = "Proceedings...",
                 year = "2019",
                pages = "1773--1776",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
            publisher = "IEEE",
             keywords = "SAR, Amazon Forest, Polarimetry, Scattering Decomposition, Second 
                         Growth.",
             abstract = "Secondary forests (SFs) are one of the major carbon sink in the 
                         Neotropics due to the rapid carbon assimilating in their 
                         aboveground biomass (AGB). However, the accurate contribution of 
                         the SFs to the carbon cycle is a great challenge because of the 
                         uncertainty in AGB estimates. In this context, the main objective 
                         of this work is to explore polarimetric Alos/Palsar-2 data from to 
                         model AGB in the SFs of the Central Amazon, Amazonas State. Forest 
                         inventory was conducted in 2014 with the measured of 23 field 
                         plots. Multiple linear regression analysis was performed to select 
                         the best model by corrected AICw and validated by leave-one-out 
                         bootstrapping method. The best fitted model has six parameters and 
                         explained 65% of the aboveground biomass variability. The 
                         prediction error was calculated to be RMSEP = 8.8  2.98 Mg.ha-1 
                         (8.75%). The main polarimetric attributes in the model were those 
                         direct related to multiple scattering mechanisms as the Shannon 
                         Entropy and the volumetric mechanism of Bhattacharya 
                         decomposition; and those related to increase in double-bounce as 
                         the co-polarization ratio (VV/HH) resulted of soil-trunk 
                         interactions. Such models are intended to improve accuracy for 
                         mapping SFs AGB in often cloudy environments as in the Brazilian 
                         Amazon.",
  conference-location = "Yokohama, Japan",
      conference-year = "28 July - 02 Aug.",
             language = "en",
           targetfile = "cassol_polarimetric.pdf",
        urlaccessdate = "24 jan. 2021"
}


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