@InProceedings{PletschKort:2017:ReSeIm,
               author = "Pletsch, Mikhaela A. J. S. and Korting, Thales Sehn",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Remote sensing image information mining applied to burnt forest 
                         detection in the brazilian Amazon",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "322--333",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Fire processes contribute to carbon dioxide emissions, main gas 
                         re- sponsible for the Greenhouse Effect. Considering the 
                         importance of fire pro- cesses management for the detection of 
                         burnt areas in the Brazilian Amazon, the Linear Spectral Mixture 
                         Model is one of the main methods available. Nonethe- less, some 
                         manual processes are required before its application, such as 
                         iden- tifying adequate images in databases. In this manner, we 
                         have developed an approach for Remote Sensing Image Information 
                         Mining (ReSIIM), which was tested for burnt areas studies. ReSIIM 
                         stores information about well-known tar- gets found in Remote 
                         Sensing imagery, such as cloud, cloud shadow, clear land, water, 
                         vegetation and bare soil.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DQB2",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DQB2",
           targetfile = "40pletsch_korting.pdf",
        urlaccessdate = "27 abr. 2024"
}