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@InProceedings{KawashimaAlmeGianQuin:2015:AnMuTe,
               author = "Kawashima, Renata Sayuri and Almeida, Cl{\'a}udia Maria de and 
                         Giannotti, Mariana Abrantes and Quintanilha, Jos{\'e} Alberto",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise das mudan{\c{c}}as temporais de cobertura da terra 
                         na regi{\~a}o portu{\'a}ria da Baixada Santista-SP e a 
                         proposi{\c{c}}{\~a}o de modelos de din{\^a}mica espacial",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1082--1089",
         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 objective of this research was to verify the historical 
                         changes in the landscape between three periods, 1985 until 1995, 
                         1995 until 2005 and 2005 until 2013 in temporal analysis of land 
                         cover in the port area of Santos. The result of the supervised 
                         classification of Landsat imagery allowed us to map the initial 
                         and final times of each period and to develop dynamic models of 
                         the landscape. Spatial patterns of change in land cover can be 
                         analyzed from spatial dynamics modeling. This modeling can 
                         describe factors that have influenced territorial changes as well 
                         as enable the estimation of future impacts over the simulated 
                         environment. The dynamic modeling software Dinamica EGO 2.4 
                         allowed building simulation models based on cellular automata and 
                         transition functions. The simulated models for 1995 and 2005 were 
                         similar to the actual thematic mapping and showed a good 
                         evaluation. The transition matrices allowed quantifying the 
                         amendments tabled by the total area, and the percentage of each 
                         class. The explanatory variables related to secondary roads and to 
                         distance to the urban class were the main variables that averaged 
                         weights of positive evidence in transitions, with influence over 
                         distances of 300 meters of the secondary roads and 500 meters of 
                         the Urban class.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "199",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47NB",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47NB",
           targetfile = "p0199.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da Terra",
        urlaccessdate = "29 nov. 2020"
}


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