@InProceedings{PereiraCarSanJúnMor:2015:AvNoÍn,
               author = "Pereira, Allan Arantes and Carvalho, Luis Marcelo Tavares de and 
                         Santos, Renata Libonati dos and J{\'u}nior, Fausto Weimar Acerbi 
                         and Morelli, Fabiano",
          affiliation = "{} and {} and {} and {} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o de nove {\'{\i}}ndices espectrais quanto a 
                         separabilidade entre queimadas e diferentes alvos",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3105--3112",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The aim of this study was evaluate which spectral indices have 
                         higher separability in the discrimination of burned areas of other 
                         targets in the Landsat 5 TM images on Cerrado areas in northern 
                         Minas Gerais. For this, nine spectral indices were calculated; 
                         Burned Area Index (BAI), Char Soil Index (CSI), Enhanced 
                         Vegetation Index (EVI), Normalized Burn Ratio (NBR), variation of 
                         Normalized Burn Ratio (nbr2), Normalized Difference Vegetation 
                         Index (NDVI), Normalized Difference Moisture Index (NDMI), 
                         Mid-Infrared Burn index (MIRBI), Soil Adjusted Vegetation Index 
                         (SAVI) and checked your the separability by the index M. To assist 
                         the analysis, we calculated the basic statistics and the spectral 
                         signatures generated before and after the wildfire, and also the 
                         graph in space bi-spectral regions in red (band 3), near infrared 
                         (band 4), and shortwave infrared (bands 5 and 7). The results 
                         showed the MIRBI and NBR2 indices with better separability. 
                         Already NBR, NDVI, SAVI and CSI indices presented intermediate 
                         values of separability compared to other indices tested in this 
                         work. While the spectral indices BAI, EVI and NDMI had weak 
                         separability. We conclude that the indices using the bands of the 
                         shortwave infrared region showed the best results and are the most 
                         suitable for mapping fires in the region, Landsat 5 TM images.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "619",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BBP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BBP",
           targetfile = "p0619.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}