@InProceedings{PletshPeSiKöArAnMo:2019:CoSpIn,
               author = "Pletsh, Mikhaela Alo{\'{\i}}sia J{\'e}ssie Santos and Penha, 
                         Thales Vaz and Silva J{\'u}nior, Celso Henrique Leite and 
                         K{\"o}rting, Thales Sehn and Arag{\~a}o, Luiz Eduardo Oliveira e 
                         Cruz de and Anderson, Liana Oighenstein and Morelli, Fabiano",
          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)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Centro Nacional de Monitoramento e Alertas de 
                         Desastres Naturais (CEMADEN)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Combination of spectral indices for burned area detection in the 
                         brazilian amazonia",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1248--1251",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Rainforest, Landsat-8, Spectral Index, Forest Fires, Burnt Area.",
             abstract = "Spectral Indices (SI) are widely used for remote sensing 
                         application because they enhance targeted features in optical 
                         images through the algebraic combination of spectral bands. There 
                         is a large variety of SI, in which the performance varies 
                         depending on the user's application. Considering the different 
                         emphases that spectral indices may offer, here we present a 
                         test-case based on the combination of 10 SI in a three channels 
                         remote sensing image (Red; Green; Blue - RGB) aiming to highlight 
                         burned areas from other targets such as vegetation and water. This 
                         process generated 120 possible combinations without repetition. 
                         With spatial resolution of 30m, the proposed method was able to 
                         achieve an accuracy between 0,21 and 0.86, according to Cohen's 
                         Kappa coefficient. The two groups of indices MIRBI, NBR2, EVI, 
                         MNDWI and CSI; and BAI, NBR and NDVI were the most inaccurate and 
                         accurate indices, respectively, identified for the study site.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TUPK42",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUPK42",
           targetfile = "97276.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}