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@InProceedings{AndereAnDuArArAr:2015:DaMuSe,
               author = "Andere, Lua{\^e} and Anderson, Liana Oighenstein and Duarte, 
                         Valdete and Arai, Egidio and Arag{\~a}o, J{\'u}lio Ricardo 
                         Lisboa de and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Dados multitemporais do sensor MODIS para o mapeamento de 
                         queimadas na Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3534--3541",
         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 aim of this article was to describe the steps for the 
                         production of a thematic classification of burned areas in 
                         Amazonia through the application of a semi-automated burnt scar 
                         detection method. We used two products (MOD09GAGQ and MOD09A1Q1) 
                         derived from the Moderate Resolution Imaging Spectroradiometer 
                         (MODIS) onboard the Terra satellite. The classification procedure 
                         included the segmentation of the shadow images derived from a 
                         linear spectral mixing model (SLMM), and a subsequent 
                         classification of burned areas with a manual post-classification 
                         edition. All stages of the mapping process are explained, such as 
                         the particularities of the unsupervised classification and the 
                         choice of ancillary data used for reducing classification errors 
                         after de classification process. The methods presented here aims 
                         to depict the current knowledge for subsiding a near-real time 
                         mapping of burned areas. It is expected that with advances in the 
                         burned area mapping for different regions in Amazonia, new 
                         procedures maybe incorporated to this methodology in order to 
                         generate a site-specific and a more robust procedure.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "696",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BQA",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4BQA",
           targetfile = "p0696.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da Terra",
        urlaccessdate = "01 dez. 2020"
}


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