@InProceedings{Espírito-SantoShimSantKupl:2005:ClSeIm,
               author = "Esp{\'{\i}}rito-Santo, Fernando Del Bon and Shimabukuro, Yosio 
                         Edemir and Santos, Jo{\~a}o Roberto dos and Kuplich, Tatiana 
                         Mora",
          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 = "Classifica{\c{c}}{\~a}o semi-autom{\'a}tica de imagens 
                         multitemporais Landsat para a determina{\c{c}}{\~a}o dos 
                         est{\'a}gios sucessionais de uma {\'a}rea de desflorestamento na 
                         Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1517--1524",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, forest, sensoriamento remoto, 
                         processamento de imagens, floresta.",
             abstract = "Tropical forest successional stages have been mapped previously 
                         with multitemporal satellite sensor imagery. The precise 
                         identification and classification of such stages, however, has 
                         proved difficult. This letter presents a new method for the 
                         classification of forest successional stages following 
                         deforestation in Brazilian Amazonia. Multitemporal Landsat TM and 
                         ETM+ and derived fraction images and field data were used in a 
                         semi-automatic classification approach. The results were 
                         encouraging and signal the application of the method for the 
                         entire Brazilian Amazonian.",
  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/2004/11.20.16.19",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.16.19",
           targetfile = "1517.pdf",
                 type = "Floresta",
        urlaccessdate = "02 maio 2024"
}