@InProceedings{Queiroz`OliOlivFigu:2017:UsLiQu,
               author = "Queiroz, Alisson Maia de and d`Oliveira, Marcus V. N. 
                         Vin{\'{\i}}cio Neves and Oliveira, Luis Claudio de and 
                         Figueiredo, Evandro Orfan{\'o}",
                title = "Uso do LiDAR para quantifica{\c{c}}{\~a}o da perda de biomassa 
                         produzida pelo corte de {\'a}rvores e extra{\c{c}}{\~a}o das 
                         toras em uma floresta tropical manejada no Estado do Acre",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2661--2668",
         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 = "Monitoring forest operations on logged areas is essential to 
                         identify the impacts caused to the residual. Light Detection and 
                         Ranging (LiDAR) has proven an effective tool to the quantification 
                         of the structural parameters and biomass loss on tropical forests. 
                         The objective of this study was through the use of repeated LiDAR 
                         flights to elaborate a regression model to estimate the biomass of 
                         the logged trees and to assess the biomass losses produced by tree 
                         cutting and logs extraction in a forest management area. The study 
                         was carried out in an annual production area in the Antimary state 
                         forest in Acre State, western Amazon. The results demonstrated 
                         that: i. the use of crown projection area as independent variable 
                         was sufficient to produce a robust model to estimate the biomass 
                         of individual trees; ii. the number of trees extracted alone did 
                         not explained the biomass loss in the plots and iii. there was a 
                         strong relationship between the total biomass loss estimated by 
                         the subtraction of the biomass before and after logging and the 
                         biomass of the extracted trees. We suggest that this relationship 
                         should be used as a quality indicator of the applied forest 
                         management techniques.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59266",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLR33",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR33",
           targetfile = "59266.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}