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@InProceedings{SatoShiKelSanAra:2015:AnReDa,
               author = "Sato, Luciane Yumie and Shimabukuro, Yosio Edemir and Keller, 
                         Michael and Santos, Maiza Nara dos and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise da rela{\c{c}}{\~a}o entre dados de LiDAR e de 
                         biomassa florestal no sudoeste da Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3005--3012",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Understanding the dynamics of tropical forest structure is 
                         critical for quantifying impacts of environmental changes on these 
                         ecosystems. Biomass is one of the main forest structural 
                         attributes and its quantification allows the analysis of changes 
                         in carbon stocks. However, a comprehensive assessment of tropical 
                         forest dynamics is dependent on the use of remote sensing 
                         techniques, because of its large geographical extent. In this 
                         context, Light Detection and Ranging (LiDAR) stands out as a 
                         recent technology used to obtain direct measurements of vegetation 
                         height. This work aims to perform a preliminary analysis of the 
                         relationship between LiDAR data and field measurements of forest 
                         structure in areas located in the southwestern flank of the 
                         Brazilian Amazon. Ultimately, our goal is to analyze changes in 
                         above-ground biomass (AGB) and carbon stocks in these areas. We 
                         found that height obtained from LiDAR data and biomass are 
                         linearly related, resulting in a R2 equal to 0.4425. This result 
                         indicate that mean height from LiDAR data may not be the most 
                         suitable measurement to estimate AGB if used as a single variable. 
                         We suggest that other metrics, such as wood density, 70th, 80th, 
                         90th, 95th, 99th LiDAR height percentiles, can further improve the 
                         estimation of AGB from LIDAR data. Moreover, we also envisage that 
                         it is required to introduce alternative ways to estimate 
                         on-the-ground biomass at the plot level, as the experimental 
                         design did not allow direct comparison.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "600",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4AKC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4AKC",
           targetfile = "p0600.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "2022, Jan. 22"
}


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