@InProceedings{AlmeidaBZSPGSB:2019:MoEsPl,
               author = "Almeida, Danilo Roberti Alves de and Broadbent, Eben and Zambrano, 
                         Angelica Almeyda and Stark, Scott Christopher and Papa, Daniel de 
                         Almeida and Gorgens, Eric Bastos and Silva, Carlos Alberto and 
                         Brancalion, Pedro Henrique Santin",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {University of Florida} 
                         and {University of Florida} and {Michigan State University} and 
                         {Empresa Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and 
                         {Universidade Federal dos Vales do Jequitinhonha e Mucuri} and 
                         {NASA Goddard Space Flight Center} and {Universidade de S{\~a}o 
                         Paulo (USP)}",
                title = "Monitoramento da estrutura de plantios de restaura{\c{c}}{\~a}o 
                         florestal estabelecidos sob diferentes intensidade de manejo 
                         usando drone - LiDAR",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2267--2270",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "sensoriamento remoto, IAF, DAF, Mata Atl{\^a}ntica, 
                         restaura{\c{c}}{\~a}o ativa, remote sensing, LAI, LAD, Atlantic 
                         Forest, active restoration.",
             abstract = "Monitoramos um experimento de restaura{\c{c}}{\~a}o florestal 
                         ativa (plantio de esp{\'e}cies nativas) a partir da 
                         caracteriza{\c{c}}{\~a}o da estrutura do dossel florestal usando 
                         sensoriamento remoto Lidar acoplado em plataforma drone. O 
                         experiemento, localizado na cidade de Anhembi no interior de 
                         S{\~a}o Paulo (bioma Mata Atl{\^a}ntica), possui dois 
                         n{\'{\i}}veis de espa{\c{c}}amento de plantio (3x1 e 3x2 m) e 
                         dois n{\'{\i}}veis de manejo (tradicional e intensivo), 
                         totalizando quatro tratamentos. Foram analisadas tr{\^e}s 
                         vari{\'a}veis estruturais derivadas do Lidar (altura do dossel, 
                         rugosidade e o {\'{\i}}ndice de {\'a}rea foliar) e uma 
                         vari{\'a}vel de campo (BAS biomassa de madeira seca acima do 
                         solo). A caracteriza{\c{c}}{\~a}o das diferen{\c{c}}as 
                         estruturais entre os tratamentos possibilitou a compreens{\~a}o e 
                         discuss{\~a}o das hip{\'o}teses ecol{\'o}gicas dentro de cada 
                         sistema de restaura{\c{c}}{\~a}o florestal. ABSTRACT: We 
                         monitored an active forest restoration experiment (native species 
                         plantation) from the characterization of the forest canopy 
                         structure using a drone-borne Lidar system. The experiment, 
                         located at the interior of S{\~a}o Paulo (Atlantic Forest Biome), 
                         has two levels of planting spacing (3x1 and 3x2 m) and two 
                         management levels (Traditional and Intensive), totaling four 
                         treatments. We analyzed three structural variables from Lidar 
                         (canopy height, rugosity and leaf area index) and one from field 
                         inventory (AGB above ground woody dry biomass. The 
                         characterization of the structural differences between the 
                         treatments allowed the understanding and discussion of the 
                         ecological hypotheses within each forest restoration system.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U3RR6S",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U3RR6S",
           targetfile = "97592.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "05 jun. 2024"
}