@InProceedings{AmaralEscaMont:2007:DaViAé,
               author = "Amaral, Silvana and Escada, Maria Isabel Sobral and Monteiro, 
                         Ant{\^o}nio Miguel Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de 
                         Pesquisas Espaciais - INPE}",
                title = "Dados de videografia a{\'e}rea e imagens CCD/CBERS2 para a 
                         identifica{\c{c}}{\~a}o de assentamentos humanos em uma 
                         regi{\~a}o de fronteira na Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "6585--6592",
         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 = "airborne videography, Amazon, frontier, human settlement, cluster 
                         analysis, videografia, CCD/CBERS2, fronteira, Amaz{\^o}nia, 
                         assentamentos humanos, GEOMA, an{\'a}lise de cluster.",
             abstract = "This paper assesses the use of airborne videography, integrated to 
                         CCD/CBERS2 imagery to identify human population presence in a 
                         frontier region in the Brazilian Amazon. The study site comprises 
                         the road that connected the Xingu and Iriri River, in the state of 
                         Par{\'a}-Brazil, submitted to a recent and dynamic occupation 
                         process. The images from videography and oblique photographs 
                         containing construction types as indication of inhabitants were 
                         selected and spatialized as point occurrences with geographical 
                         coordinates. Based on area and density of the constructions 
                         observed, we proposed a simple typology to hierarchically 
                         distinguish the constructions types. A cluster analyses, based on 
                         nearest neighbor hierarchical spatial clustering was applied over 
                         these points of occurrence, weighted by the typology proposed. 
                         This analysis identified features of human settlement pattern 
                         comparable to previous work. The use of CCD/CBERS2 image to 
                         identify the human settlements was verified, considering the 
                         constrains and advantages in using videography image data.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.14.15.10",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.14.15.10",
           targetfile = "6585-6592.pdf",
                 type = "Sensoriamento Remoto da Amaz{\^o}nia",
        urlaccessdate = "03 maio 2024"
}