@InProceedings{FragosoMeirHerlBerr:2005:DeAuMu,
               author = "Fragoso, Marcelo Cerqueira and Meirelles, Margareth Sim{\~o}es 
                         Penello and Herlin, Isabelle and Berroir, Jean-Paul",
          affiliation = "{Universidade do Estado do Rio de Janeiro (UERJ). Engenharia de 
                         Computa{\c{c}}{\~a}o. {\'A}rea de Concentra{\c{c}}{\~a}o 
                         Geom{\'a}tica.} and {Universidade do Estado do Rio de Janeiro 
                         (UERJ). Engenharia de Computa{\c{c}}{\~a}o. {\'A}rea de 
                         Concentra{\c{c}}{\~a}o Geom{\'a}tica.} and {Institut National 
                         de Recherche en Informatique et en Automatique – INRIA} and 
                         {Institut National de Recherche en Informatique et en Automatique 
                         – INRIA}",
                title = "Detec{\c{c}}{\~a}o autom{\'a}tica de mudan{\c{c}}as no uso e 
                         cobertura do solo atrav{\'e}s do uso integrado dos sat{\'e}lites 
                         NOAA/AVHRR e Landsat/TM",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "521--524",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, geomatics, LULCC, sensoriameto remoto, 
                         geom{\'a}tica, mudan{\c{c}}as do uso/cobertura do solo.",
             abstract = "This paper describes a methodology capable to detect automatically 
                         land use/land cover changes based on two Landsat/TM images. Such 
                         detection uses temporal profiles of NOAA/AVHRR reflectances of 
                         each land cover type during one year. By identifying the diference 
                         among these temporal profiles using one TM image as reference, it 
                         is possible to detect in a new TM image which pixels classes have 
                         changed. In this way, an automatic new classification is 
                         produced.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.19.12.33",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.12.33",
           targetfile = "521.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "11 maio 2024"
}