@InProceedings{TrancosoSchiCarn:2007:DiEsTe,
               author = "Trancoso, Ralph and Schietti, Juliana and Carneiro Filho, 
                         Arnaldo",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA). 
                         Laborat{\'o}rio de Geoprocessamento e An{\'a}lise Espacial 
                         (SIGLAB).} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA). Laborat{\'o}rio de Geoprocessamento e An{\'a}lise 
                         Espacial (SIGLAB).} and {Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA). Laborat{\'o}rio de Geoprocessamento e 
                         An{\'a}lise Espacial (SIGLAB).}",
                title = "Padr{\~o}es de desflorestamento na Amaz{\^o}nia Legal: 
                         diferen{\c{c}}as espaciais e temporais das mudan{\c{c}}as na 
                         cobertura da terra",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "3187--3194",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "deforestation pattern, Brazilian Amaz{\^o}nia, principally 
                         components analize, landscape ecology, padr{\~o}es de 
                         desflorestamento, Amaz{\^o}nia Legal, an{\'a}lise de componentes 
                         principais, ecologia da paisagem.",
             abstract = "More than 700000 Km2 have already deforested in Brazilian Legal 
                         Amazon. Although every year large forested areas have been 
                         converted to pasture and agriculture lands, the land cover changes 
                         patterns are highly heterogenic in Brazilian Amazonia. Several 
                         factors driving the land cover changes patterns, among then: the 
                         most important are: access, infra-structure, climate, relief, soil 
                         agriculture aptitude, socio-economic, demographic, political and 
                         cultural factors. For this reason, the contribution of small and 
                         large farms changes according to economy, demographic pressure, 
                         environmental and physical features of the region. The aim of this 
                         work was detect deforestation patterns and its spatial and 
                         temporal variability in Brazilian Amazonia through multivariate 
                         analyze of deforested areas metrics. After that, the contribution 
                         of three physical variables related to access, relief and climate 
                         have tested as driven the deforestation distribution patterns. The 
                         sampling scale (50 Km of cell size) selected to show deforestation 
                         patterns in Brazilian Amazonia were satisfactory. Principally 
                         Components Analyze supported the deforestation patterns detection. 
                         Two first axes explained about 90% of total variance contained on 
                         deforestation metrics. This strategy afforded the spacialization 
                         of deforestation patterns in a grid, showing the spatial and 
                         temporal deforestation patterns variability. Selected physical 
                         variables explained a low relationship to ordination scores. Total 
                         length roads have showed the major explication power.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.15.23.38.31",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.23.38.31",
           targetfile = "3187-3194.pdf",
                 type = "Geoprocessamento: Aplica{\c{c}}{\~o}es e Modelagem Ambiental",
        urlaccessdate = "12 maio 2024"
}