@Article{ReisGACRLHOSR:2021:QuInDe,
               author = "Reis, Cristiano Rodrigues and Gorgens, Eric Bastos and Almeida, 
                         Danilo Roberti Alves de and Celes, Carlos Henrique Souza and 
                         Rosette, Jacqueline and Lima, Adriano and Higuchi, Niro and 
                         Ometto, Jean Pierre Henry Balbaud and Santana, Reynaldo Campos and 
                         Rodriguez, Luiz Carlos Estraviz",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade Federal 
                         dos Vales do Jequitinhonha e Mucuri (UFVJM)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA)} and {Swansea University} and {Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         dos Vales do Jequitinhonha e Mucuri (UFVJM)} and {Universidade de 
                         S{\~a}o Paulo (USP)}",
                title = "Qualifying the information detected from airborne laser scanning 
                         to support tropical forest management operational planning",
              journal = "Forests",
                 year = "2021",
               volume = "12",
               number = "12",
                pages = "e1724",
             keywords = "Emergent crowns, LiDAR, Selective logging, Sustainable forest 
                         management, Tropical rainforest, , Indexed keywords.",
             abstract = "(1) Background: Forests throughout the world are managed to fulfil 
                         a range of commercial and ecosystem services. The same applies to 
                         managed areas of the Amazon forest. We explore a method of 
                         sustainable forest management (SFM) which anticipates the result 
                         of processes of natural mortality of large, mature trees that 
                         could fall and damage their neighbors. Collecting all the 
                         information required for planning logging in the Brazilian Amazon 
                         is, currently, a hard, time-consuming and expensive task. (2) 
                         Methods: This information can be obtained more quickly, accurately 
                         and objectively by including airborne laser scanning (ALS) 
                         products in the operational plan. We used ALS point clouds to 
                         isolate emergent crowns from the canopy height model. Then, we 
                         performed field work to validate the existence of these trees, and 
                         to understand how many commercial trees (tree diameter \≥ 
                         50 cm) we identified by orienting the trees search through the 
                         emergent canopy model. (3) Results: We were able to detect 184 
                         (54.4%) trees from 338 field-recorded individuals in 20 plots 
                         (totaling 8 ha). Of the detected trees, 66 individuals were 
                         classified as having potential for commerce. Furthermore, 58 
                         individuals presented the best stem quality for logging, which 
                         represents more than seven high quality commercial trees per 
                         hectare. The logistic regression showed that the effects that 
                         positively influence the emergent crown formation are strongly 
                         presented in the commercial species. (4) Conclusions: Using 
                         airborne laser scanning can improve the SFM planning in a 
                         structurally complex, dense and mixed composition tropical forest 
                         by reducing field work in the initial stages of management. 
                         Therefore, we propose that ALS operational planning can be used to 
                         more efficiently direct field surveys without the need for a full 
                         census.",
                  doi = "10.3390/f12121724",
                  url = "http://dx.doi.org/10.3390/f12121724",
                 issn = "1999-4907",
             language = "en",
           targetfile = "forests-12-01724.pdf",
        urlaccessdate = "07 maio 2024"
}