@InProceedings{SantosLeiRocBapGon:2017:EsCoDa,
               author = "Santos, Sarah Moura Batista dos and Leite, C{\^a}ndida Caroline 
                         Souza de Santana and Rocha, Washington de Jesus Sant'Anna da 
                         Franca and Baptista, Gustavo Macedo de Mello and Gon{\c{c}}alves, 
                         Ant{\'o}nio Jos{\'e} Bento",
                title = "An{\'a}lise do grau de severidade em {\'a}rea queimada no Parque 
                         Nacional da Chapada Diamantina, Bahia: estudo comparativo em dados 
                         dos sensores MUX-IRS\\CBERS-4 e OLI\\LANDSAT-8",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4351--4358",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The detection of fires by orbital data can be done using specific 
                         techniques, such as the Normalized Burn Ratio (NBR), which assists 
                         in the identification of burned areas, since the affected ones 
                         present characteristic spectral responses. More sophisticated 
                         studies use satellite data to map different types of fire severity 
                         present within burned areas. The objective of this work is to 
                         apply the indices NBR and dNBR to identify burnings and their 
                         degree of severity. Data from the MUX - IRS (CBERS - 4) and OLI 
                         (LANDSAT - 8) sensors were used, performing a comparative analysis 
                         between the results found on different sensors. The obtained data 
                         were preprocessed and properly prepared for the calculation of the 
                         indices and the results for the different satellite images used 
                         were confronted visually and statistically. We conclude that the 
                         use of NBR and dNBR is an important tool for the burned area 
                         classification in the study area. It was also observed that the 
                         results obtained with the Landsat-8 image presented better 
                         efficiency in relation to the CBERS-4 data for the identification 
                         of burnings and their severity.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60035",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2TM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2TM",
           targetfile = "60035.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}