@InProceedings{WiederkehrRibFraMorGam:2017:MaUsCo,
               author = "Wiederkehr, Natalia Cristina and Ribeiro, Renata Maciel and 
                         Fran{\c{c}}a, David Guimar{\~a}es Monteiro and Moreira, 
                         Maur{\'{\i}}cio Alves and Gama, F{\'a}bio Furlan",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Mapeamento do uso e cobertura da terra na Comunidade de S{\~a}o 
                         Jorge ? Belterra PA",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7754--7761",
         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 National Forest (FLONA) of the Tapajos is an important 
                         protected area located in Brazilian Amazon, Para state. Just like 
                         the S{\~a}o Jorge community, the unit suffers from strong 
                         anthropogenic pressure mainly in its surroundings (margins of the 
                         BR 163 highway), presenting illegal logging in the areas near to 
                         its south limits. The community was dismembered of the protected 
                         area since 2012 for purposes of using the land without the 
                         restrictions imposed by the conservation laws. Therefore, this 
                         paper aims to map the main land use change characteristics in the 
                         S{\~a}o Jorge community and to establish a hierarchical pattern 
                         to analyze how these patterns can influence in the vegetation 
                         suppression. The data used to map the land use change was a 
                         multispectral image of the RapiEye orbital sensor with a spatial 
                         resolution of 5 meters/pixel. As a preliminary step of the 
                         classification, image segmentation was done through means of the 
                         multi-resolution algorithm in the eCognition platform. 
                         Furthermore, non-parametric methods of data mining were also 
                         applied in order to classify the land use change over the image 
                         data. The classification results display the classes vegetation 
                         and agropastoril as the most predominant ones, suggestible 
                         revealing the conservation state of the forest and the 
                         agricultural expansion. The results of this study can also 
                         contribute as a small effort towards the conservation projection 
                         of protected areas, reacting against the illegal logging and 
                         forest suppression.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59918",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGC9",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGC9",
           targetfile = "59918.pdf",
                 type = "{\'A}reas protegidas",
        urlaccessdate = "27 abr. 2024"
}