@InProceedings{PenhaEscaFonsKort:2017:DeMuAn,
               author = "Penha, Thales Vaz and Escada, Maria Isabel Sobral 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)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Detec{\c{c}}{\~a}o de mudan{\c{c}}as e an{\'a}lise de 
                         padr{\~o}es de expans{\~a}o agr{\'{\i}}cola 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 = "5437--5444",
         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 agricultural expansion in Mato Grosso state, Brazil, is a 
                         process that in recent decades has been consolidated due to the 
                         high production of grains such as soybeans. This process is 
                         closely related to the land use and land cover changes and the 
                         replacement of natural forest cover for economic activities such 
                         as livestock and agriculture, especially, along the southern and 
                         eastern edges of the Amazon region. In this sense, several 
                         scientific projects and researches aim to support important 
                         decision-making using remote sensing data and techniques to study 
                         the land use and land cover changes. The change detection 
                         techniques allow the recognition of agricultural expansion 
                         patterns and it represents an interesting tool to improve 
                         territory management and public policies. This present study aimed 
                         to analyze the spatial-temporal trajectory of agricultural 
                         expansion patterns in an Amazon region applying a change detection 
                         technique and using the land cover classifications generated by 
                         TerraClass in different years (2004, 2010, 2014). The 
                         classification results were considered satisfactory (kappa greater 
                         than 0.7 and overall accuracy higher than 0.8) and indicate 
                         further consolidation of agricultural expansion process, as well 
                         as continued expansion of annual agricultural patches, which leads 
                         to a better assessment and discussion about Amazon cover 
                         changes.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59390",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMB3H",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMB3H",
           targetfile = "59390.pdf",
                 type = "Agricultura e silvicultura",
        urlaccessdate = "27 abr. 2024"
}