@InProceedings{NevesDiniGomeMaia:2015:MaÁrNa,
               author = "Neves, Alana Kasahara and Diniz, Cesar Guerreiro and Gomes, 
                         Alessandra Rodrigues and Maia, Janaina Sant'Ana",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapeamento de {\'a}reas naturais de floresta no {\^a}mbito do 
                         projeto OSE Guyamapa",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1746--1752",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The OSE Guyamapa project (Transboundary Environmental Space 
                         Observation of Guyana - Amapa) in the part which fits INPE 
                         (National Institute for Space Research), more specifically the CRA 
                         (Regional Centre of the Amazon), aimed to map natural forest 
                         areas, seeking to identify possible different types of forest in 
                         the Oiapoque basin, area used as worksite for this study. To build 
                         the database and interpretation scenario, TerraAmazon 4.3 software 
                         where used. Twenty-five (25) SPOT 5 images, orthorectified and 
                         with spatial resolution of 10m were used. For each image, there 
                         was a pre-processed vector provided by IRD (Research Institute for 
                         Development) containing information of clouds, shadows, water and 
                         urban areas. These vectors were used as a non-forest mapping mask, 
                         since the main goal is the identification of different forest 
                         areas. Five different forest classes were mapped: Vegetation Type 
                         1, Type 2, Type 3, Type 4 and degraded areas. The class with 
                         greatest coverage percentage was the Vegetation type 2 (74.77%), 
                         which is characterized by intact natural forest formations, 
                         usually occupying plain or slightly hilly areas of. The monitoring 
                         of the natural vegetation was conduct to help in the understanding 
                         of the Oiapoque ecosystem dynamics, even when there are no 
                         extensive areas of human activity, greater attention should be 
                         diverted to the area to avoid severe degradation in the future.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "332",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM499L",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM499L",
           targetfile = "p0332.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}