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@InProceedings{XaudAlmeXaud:2015:MoDiEs,
               author = "Xaud, Maristela Ramalho and Almeida, Cl{\'a}udia Maria de and 
                         Xaud, Haron Abrahim Magalh{\~a}es",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Modelagem din{\^a}mica espacial das mudan{\c{c}}as de cobertura 
                         da terra na regi{\~a}o sul do Estado de Roraima, norte da 
                         Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6483--6490",
         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 = "In order to assess the annual rate of shallow cut deforestation in 
                         the Brazilian Amazonia, INPE (Brazilian National Institute for 
                         Space Research) uses PRODES (Project for the Satellite Monitoring 
                         of the Brazilian Amazon Forest) system. PRODES database can be 
                         accessed from INPE website, which enables further studies on 
                         deforestation patterns in different subsets of such a 
                         heterogeneous region. The present study focuses on simulating the 
                         spatial dynamics of deforestation state of Roraima, in the far 
                         north of the Brazilian Amazon, using PRODES database and a 
                         cellular automata model within a time span of five years 
                         (2000-2005). The cellular automaton (CA) platform DINAMICA EGO was 
                         used in this study. It is driven by landscape maps from the 
                         initial and final time of the simulation period and by spatial 
                         variables (dynamic and/or static). The landscape maps contained 
                         the following land cover classes: forest, non-forest, 
                         deforestation, drainage, and background. The spatial variables 
                         selected for the analysis were distance to roads, distance to 
                         urban sites, and distance to deforested areas. The results 
                         indicated that the transition forest to deforestation was more 
                         strongly associated with the variables distance to deforestation 
                         and distance to roads and presented though a weak relation with 
                         distance to urban sites. The results shed light on the drivers of 
                         land cover change processes in this region, mainly the conversion 
                         from forest to deforested areas, indicating the minor role of 
                         urban sites as compared to the decisive importance of roads and 
                         previously deforested areas.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1407",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4HTD",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4HTD",
           targetfile = "p1407.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "02 dez. 2020"
}


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