@InProceedings{CassolMoraShimCarr:2017:MoAcBi,
               author = "Cassol, Henrique Luis Godinho and Moraes, Elisabete Caria and 
                         Shimabukuro, Yosio Edemir and Carreiras, Jo{\~a}o Manuel de B.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Modelagem do ac{\'u}mulo de biomassa nas Florestas 
                         Secund{\'a}rias de Santar{\'e}m-PA",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1526--1533",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Secondary forests are one of the major carbon sink in the 
                         Neotropics. So, accurate estimates of their contribution to the 
                         carbon cycle are a great challenge. Here, we propose a biomass 
                         growth accumulation model of secondary forest using remote sensing 
                         data, field work and age image classified. This study was 
                         performed in Santar{\'e}m, Par{\'a} state in the Brazilian 
                         Amazon region. Multiple regression analysis was performed to 
                         select the best model by corrected Akaike information criterion 
                         (AICc). The best fitted models involved age image as biomass 
                         predictor. In spite of huge effort to obtain age image, we prove 
                         that this variable is essential to improve accuracy in mapping 
                         secondary forest biomass.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59397",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GRS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GRS",
           targetfile = "59397.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}