@InProceedings{CamargoPapaRodr:2017:CoAlĮr,
               author = "Camargo, Alexandre Pansini and Papa, Daniel de Almeida and 
                         Rodriguez, Luiz Carlos Estraviz",
                title = "Correla{\c{c}}{\~a}o de altura de {\'a}rvores dominantes e 
                         ajuste de equa{\c{c}}{\~o}es volum{\'e}tricas atrav{\'e}s de 
                         dados ALS em plantios homog{\^e}neos de Eucalyptus sp",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6264--6271",
         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 = "The emergence of new remote sensing technologies and the 
                         availability of access to these data gives to researchers a good 
                         expectation of obtaining information with greater agility and 
                         quality. Forest biometry won significant ally with the use of data 
                         of Airborne Laser Scanning, especially on data quality and 
                         accuracy of the estimates generated. This work aims to evaluate 
                         volumetric models with variables exclusively of data clouds ALS 
                         and relate height percentiles metrics generated by the 
                         cloudmetrics tool of the software FUSION© with the average height 
                         of dominant trees in homogeneous stands of Eucalyptus sp. Were 
                         used 51 sample plots located in 527.9 ha of plantations in the 
                         city of S{\~a}o Miguel Arcanjo-SP that were related to height 
                         percentiles P80 , P90, P95 and P99 and evaluated as to the values 
                         of the coefficient of determination (R²), RMSE and rRMSE for 
                         distribution of dominant height average. For the volumetric 
                         prediction variables were used height percentiles Hvar, P25 and 
                         P90, adjusted models and compared the same criteria that the 
                         metrics of time. Volumetric models showed coefficients of 
                         determination of 0.94 and 0.93 0.93 0.91, for models 1, 2, 3 and 
                         4, respectively. The correlations between percentiles and height 
                         presented R² of 0.97 for the settings with P80, P90 and P95, and 
                         0.96 to P99. The variables selected for use in the models were 
                         appropriate and generate metrics consistent with the observed 
                         field data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60071",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMCJC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCJC",
           targetfile = "60071.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}