@InProceedings{Espírito-SantoSaatKell:2017:UsLiRe,
               author = "Esp{\'{\i}}rito-Santo, Fernando Del Bon and Saatchi, Sassan and 
                         Keller, Michael",
                title = "Using lidar remote sensing to quantify tree-fall gaps in tropical 
                         rain forests",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6006--6013",
         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 = "Remote observation using light detection and ranging (lidar) 
                         offers a unique opportunity to quantify the geometry and size 
                         structure of tropical forests contiguously at fine spatial 
                         resolution. We used ten samples of airborne lidar data from 
                         tropical forests six regions from Brazil, and other Neotropical 
                         forests such as Peru, French Gui, Panama and Costa Rica. We 
                         quantify gap size frequency distribution along vertical and 
                         horizontal dimensions in ten Neotropical forest canopies 
                         distributed across gradients of climate and landscapes using 
                         airborne lidar measurements. We found that natural forest 
                         disturbances (tree-fall gaps) follow a power-law distribution. 
                         Mean gap area (50 to 900 m2) and frequency (10,960 to 27,158) 
                         varied considerably among sites (200-ha each). However, we found 
                         that imposing a minimum gap area (20 m2) constrained the exponent 
                         of the power-law fit of gap frequency to a narrow range from -1.2 
                         to -1.3. This contrasts with previous studies that included 
                         smaller canopy gaps (1-20 m2). The convergence of gap frequency 
                         distribution represented by the narrow range of the power-law 
                         exponents found in this study suggests an invariant scaling 
                         property of gaps in Neotropical forests.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59343",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMC5C",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC5C",
           targetfile = "59343.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}