@InProceedings{SilvaKlHuLiCaRo:2013:UtTeLi,
               author = "Silva, Carlos Alberto and Klauberg, Carine and Hudak, Andrew and 
                         Liebermann, Robert and Carvalho, Samuel de Padua Chaves e and 
                         Rodriguez, Luiz Carlos Estraviz",
                title = "Utiliza{\c{c}}{\~a}o da tecnologia LiDAR para 
                         estima{\c{c}}{\~a}o da biomassa florestal em povoamentos de 
                         Eucalyptus sp",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6097--6104",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The LiDAR remote sensing was applied to above-ground biomass 
                         estimation in a Eucalyptus sp plantation. We used a multiple 
                         linear regression model from a suite of 87 predictor variables 
                         derived from discrete-return LIDAR data to create the biomass 
                         above-ground model. Of the 87 predictor variables, only five 
                         variables, related to percentiles of height and LiDAR intensity, 
                         were selected to model. The fitted model showed a coefficient of 
                         determination (r2) of 0.91, Pearson's correlation (r) 0,97 and 
                         root mean square error (RMSE) of 5.22 m. In this work we conclude 
                         that LiDAR has good accuracy to biomass above-ground estimation in 
                         Eucalyptus sp plantations.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "347",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GCP5",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GCP5",
           targetfile = "p0347.pdf",
                 type = "Lidar: Sensores e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "09 maio 2024"
}