@InProceedings{MohanMSKRAMC:2019:FoPl,
               author = "Mohan, Midhun and Mendon{\c{c}}a, Bruno Ara{\'u}jo Furtado de 
                         and Silva, Carlos Alberto and Klauberg, Carine and Ribeiro, 
                         Acau{\~a} Santos de Saboya and Ara{\'u}jo, Emanuel Jos{\'e} 
                         Gomes de and Monte, Marco Antonio and Cardil, Adri{\'a}n",
          affiliation = "{North Carolina State University} and {Universidade Federal Rural 
                         do Rio de Janeiro (UFRRJ)} and {University of Maryland} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o Del-Rei (UFSJ)} and 
                         {Universidade Federal de Vi{\c{c}}osa (UFV)} and {Universidade 
                         Federal Rural do Rio de Janeiro (UFRRJ)} and {Universidade Federal 
                         Rural do Rio de Janeiro (UFRRJ)} and {Tecnosylva. Parque 
                         Tecnol{\'o}gico de Le{\'o}n}",
                title = "Combining airborne laser scanning and local maxima algorithm for 
                         individual tree detection in coconut (Cocos Nucifera L.) forest 
                         plantations",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1064--1068",
         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 = "lidar 3D point clouds, canopy cover density, smoothing window 
                         sizes, plantation forestry, irregular tree crown.",
             abstract = "Forest Inventory and monitoring is important for coconut 
                         plantation owners as it helps them in tracking forest growth, 
                         fruit production rates and plantation vitality. From this aspect, 
                         automated Individual Tree Detection (ITD) is very helpful as it 
                         makes the aforementioned processes less time\‐consuming, 
                         affordable, and efficient; however, applications of ITD is still 
                         at a latent stage in several emerging economies such as Brazil. 
                         Herein, we combined Light Detection and Ranging (lidar) and local 
                         maxima algorithm to automatically detect coconut tree tops from a 
                         plantation having plots of varying canopy cover densities. Our 
                         accuracy assessment results (average tree detection accuracy = 
                         79.77%) shows that application of local maxima algorithm on 
                         lidar-derived canopy height models (CHM) - along with suitable 
                         filter window sizes and fixed window sizes, according to 
                         plantation density and within-plot tree distribution - can predict 
                         coconut trees with satisfiable accuracy (F-score > 0.85) and.",
  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/3U3RPLS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U3RPLS",
           targetfile = "97586.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "07 maio 2024"
}