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@Article{AndradeGoReCaAsSaOm:2018:AiLaSc,
               author = "Andrade, Mariana Silva and Gorgens, Eric Bastos and Reis, 
                         Cristiano Rodrigues and Cantinho, Roberta Zecchini and Assis, 
                         Mauro L{\'u}cio Rodrigues de and Sato, Luciana Yumie and Ometto, 
                         Jean Pierre Henry Balbaud",
          affiliation = "{Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)} 
                         and {Universidade Federal dos Vales do Jequitinhonha e Mucuri 
                         (UFVJM)} and {Universidade Federal dos Vales do Jequitinhonha e 
                         Mucuri (UFVJM)} and {United Nations Development Programme} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Airborne laser scanning for terrain modeling in the Amazon 
                         forest",
              journal = "Acta Amazonica",
                 year = "2018",
               volume = "48",
               number = "4",
                pages = "271--279",
                month = "Oct./Dec.",
             keywords = "ground filter, airborne LiDAR, digital terrain model, DTM, ALS.",
             abstract = "Very few studies have been devoted to understanding the digital 
                         terrain model (DTM) creation for Amazon forests. DTM has a special 
                         and important role when airborne laser scanning is used to 
                         estimate vegetation biomass. We examined the influence of pulse 
                         density, spatial resolution, filter algorithms, vegetation density 
                         and slope on the DTM quality. Three Amazonian forested areas were 
                         surveyed with airborne laser scanning, and each original point 
                         cloud was reduced targeting to 20, 15, 10, 8, 6, 4, 2, 1, 0.75, 
                         0.5 and 0.25 pulses per square meter based on a random resampling 
                         process. The DTM from resampled clouds was compared with the 
                         reference DTM produced from the original LiDAR data by calculating 
                         the deviation pixel by pixel and summarizing it through the root 
                         mean square error (RMSE). The DTM from resampled clouds were also 
                         evaluated considering the level of agreement with the reference 
                         DTM. Our study showed a clear trade-off between the return density 
                         and the horizontal resolution. Higher forest canopy density 
                         demanded higher return density or lower DTM resolution.",
                  doi = "10.1590/1809-4392201800132",
                  url = "http://dx.doi.org/10.1590/1809-4392201800132",
                 issn = "0044-5967",
             language = "en",
           targetfile = "andrade_airborne.pdf",
        urlaccessdate = "27 nov. 2020"
}


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