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@InProceedings{LimaShAdFrArFoLo:2009:MaCiQu,
               author = "Lima, Andr{\'e} and Shimabukuro, Yosio Edemir and Adami, Marcos 
                         and Freitas, Ramon Morais de and Arag{\~a}o, Luiz Eduardo O. e C. 
                         and Formaggio, Ant{\^o}nio Roberto and Lombardi, Roberto",
          affiliation = "INPE and INPE and INPE and INPE and {Oxford University Centre for 
                         the Environment} and INPE and INPE",
                title = "Mapeamento de Cicatrizes de Queimadas na Amaz{\^o}nia Brasileira 
                         a partir da aplica{\c{c}}{\~a}o do Modelo Linear de Mistura 
                         Espectral em imagens do sensor MODIS",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5925--5932",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, burned scars, unmixed model, sensoriamento remoto, 
                         cicatrizes de queimadas, modelo linear de mistura espectral.",
             abstract = "The objective of this paper is to present a method for mapping 
                         burned areas in Brazilian Amazonia using Terra MODIS Daily 
                         reflectance data (MOD09). The proposed approach is based on INPEs 
                         DETER (Detection of Deforested Areas in Real Time Project) .method 
                         that applies image segmentation to the fraction images derived 
                         from MODIS, using a non-supervised classification per region 
                         algorithm followed by an image edition procedure for minimizing 
                         misclassifications. The results of multitemporal analysis with 
                         MODIS showed that about 50,000 km2 of land surface were burned in 
                         Brazilian Amazon. This information is critical for regional and 
                         global environmental studies. The results showed that MODIS sensor 
                         daily data is a useful source of information for mapping burned 
                         areas and the proposed method can be used in an operational 
                         project in Brazilian Amazonia.",
      accessionnumber = "0",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.14.49",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/11.17.14.49",
           targetfile = "5925-5932.pdf",
                 type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
        urlaccessdate = "21 jan. 2021"
}


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