@InProceedings{SanchezAlmeGomeRodr:2023:EfPaVo,
               author = "Sanchez, Arthur Kaufmann and Almeida, Danilo Roberti Alves de and 
                         Gomes, Silvio Henrique Menezes and Rodriguez, Luiz Carlos 
                         Estraviz",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and BRCarbon and {Universidade de S{\~a}o 
                         Paulo (USP)}",
                title = "Efeitos dos par{\^a}metros de voo em um sistema drone-Lidar sobre 
                         a nuvem de pontos em aplica{\c{c}}{\~o}es florestais",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156349",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "sensoriamento remoto ativo, modelo de altura de dossel, Zenmuse 
                         L1, active remote sensing, canopy height model, Zenmuse L1.",
             abstract = "Foram realizados nove sobrevoos com sistema drone-LiDAR sob a 
                         mesma {\'a}rea em um fragmento de vegeta{\c{c}}{\~a}o nativa de 
                         Mata Atl{\^a}ntica, localizado em Piracicaba-SP. Os voos variaram 
                         em rela{\c{c}}{\~a}o {\`a}s combina{\c{c}}{\~o}es de quatro 
                         par{\^a}metros: altura de voo (100m e 120m), 
                         sobreposi{\c{c}}{\~a}o de varredura do scaner (50% e 70%), 
                         n{\'u}mero de retornos captados (dois e tr{\^e}s) e modo de 
                         escaneamento (repetitivo e n{\~a}o-repetitivo). Estes 
                         par{\^a}metros foram testados para avaliar sua influ{\^e}ncia na 
                         qualidade da nuvem de pontos para fins florestais, de modo a 
                         encontrar uma combina{\c{c}}{\~a}o que alie qualidade e 
                         efici{\^e}ncia na coleta. Na floresta de estudo houve 
                         diferen{\c{c}}a na penetra{\c{c}}{\~a}o de pulsos at{\'e} o 
                         solo, por{\'e}m sem diferen{\c{c}}a na obten{\c{c}}{\~a}o do 
                         modelo de altura do dossel (canopy heigh model- CHM). Com isso 
                         sugere-se uma combina{\c{c}}{\~a}o dos seguintes 
                         par{\^a}metros: 120m de altura, 50% de sobreposi{\c{c}}{\~a}o, 
                         retorno duplo e escamento n{\~a}o-repetitivo. ABSTRACT: Nine 
                         overflights were carried out with drone-LiDAR system over the same 
                         area in a fragment of native vegetation of the Atlantic Forest, 
                         located in Piracicaba-SP. The flights varied in relation to the 
                         combination of four parameters: flight height (100m and 120m), 
                         scan overlap of the scanner (50% and 70%), number of returns 
                         captured (two and three) and scanning mode (repetitive and 
                         non-recurring). These parameters were tested to assess their 
                         influence on the quality of the point cloud for forestry purposes, 
                         in order to find a combination that combines quality and 
                         collection efficiency. In the study forest, there was a difference 
                         in the penetration of pulses to the ground, but without difference 
                         in obtaining the canopy height model (canopy height model - CHM). 
                         With this, a combination of the following parameters is suggested: 
                         120m height, 50% overlap, double return and non-repetitive scan.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/48TMBHE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48TMBHE",
           targetfile = "156349.pdf",
                 type = "Hidrologia",
        urlaccessdate = "12 maio 2024"
}