@InProceedings{PenhaFonsKort:2017:InFuAn,
               author = "Penha, Thales Vaz and Fonseca, Leila Maria Garcia and Korting, 
                         Thales Sehn",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Infer{\^e}ncia fuzzy na an{\'a}lise de vulnerabilidade de 
                         fragmentos florestais na Amaz{\^o}nia mato-grossense",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5445--5452",
         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 intensity of land use and land cover changes in Mato Grosso 
                         state, Brazil, in recent years is mainly due to deforestation 
                         process. Driven by the expansion of agriculture and pasture 
                         activity, the deforestation process has become increasingly 
                         vulnerable for the Amazon ecosystem and its forest fragments. 
                         Forest fragmentation could be a process of natural order but it 
                         has been intensified by human activities in recent decades, 
                         increasing the ecosystems vulnerability. The main problems 
                         generated by forest fragmentation are the biodiversity loss, the 
                         species isolation and the exposure of forest fragments to forest 
                         degradation. In this sense, many researches have been using remote 
                         sensing data and techniques to study this processes and its 
                         consequence. Furthermore, the geographic inferences analysis 
                         through geoprocessing techniques and also the use of landscape 
                         metrics can contribute to better understanding the forest 
                         fragmentation vulnerability in the Amazon. In this paper, we 
                         proposed to build different scenarios of forest fragmentation 
                         vulnerability in an Amazon region using fuzzy logic. We used 
                         distance maps as a key indicator of vulnerability to forest 
                         fragmentation. The results were considered satisfactory from a 
                         qualitative point of view, but other applications are needed to 
                         construct forest fragmentation vulnerability models more suitable 
                         to the local reality.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59842",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMB5D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMB5D",
           targetfile = "59842.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}