@InProceedings{Santiago:2017:ApMoDi,
               author = "Santiago, Anderson Ribeiro",
                title = "Aplica{\c{c}}{\~a}o do modelo de distribui{\c{c}}{\~a}o 
                         potencial de Platypodium elegans Vogel na delimita{\c{c}}{\~a}o 
                         das Florestas Estacionais na Mata Atl{\^a}ntica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4414--4420",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The purpose was evaluate the efficiency the distribuition model of 
                         Platypodium elegans Vogel in the mapping of seasonal forests in 
                         Atlantic Forest, we elaborate in an area, between the parallels 
                         15o06'' and 20o55'' south and the meridians 35o03'' and 42o57'' 
                         Wgr, the model of the distribution this specie for subsequent 
                         inference to the Atlantic Forest biome. In this procedure, we used 
                         the following environmental layers: altimetry, slope, aspect, 
                         annual precipitation, precipitation of driest month, precipitation 
                         of wettest quarter and 24 points naturally occurring this specie. 
                         The results were evaluated from AUC 0.77± 0.07 and comparing the 
                         occurrence map of the specie (model) with the distribution of 
                         seasonal forest, in Paranapanema chart. The distribuition model of 
                         Platypodium elegans Vogel predicted 56% of the area mapped as 
                         seasonal forest, that denotes the acceptable efficiency of model 
                         to predict the naturally occurring areas this forest type.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61652",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM342",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM342",
           targetfile = "61652.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}