@InProceedings{SilvaJuvaMiraNasc:2017:MaÁrQu,
               author = "Silva, Rosane Gomes and Juvanhol, Ronie Silva and Miranda, 
                         Jonathan da Rocha and Nascimento, Cristina Rodrigues",
                title = "Mapeamento de {\'a}reas queimadas no Parque Estadual de 
                         Gr{\~a}o-Mogol-MG por meio de imagens Landsat-TM",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1137--1144",
         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 = "In large areas, such as Brazil, monitoring of forest fires using 
                         satellite images is the most efficient and cheap from the 
                         detection methods. The aim of this study was verify the efficiency 
                         of spectral indices NDVI and NDBR in the identification and 
                         mapping of burnt areas from 2008 to 2011 in the Gr{\~a}o Mogol 
                         State Park (PEGM), in north of Minas Gerais State. For this, we 
                         used the Landsat-5 satellite images, TM sensor, referring to the 
                         orbit/point 218/71 of the years 2008 to 2011. The NDVI and NDBR 
                         were generated, as well as the images difference between the rates 
                         corresponding the previous scene and the later scene to the fire 
                         event. In addition, it recorded the relative difference (%) of the 
                         indices in relation to actual data, and performed Tukey test to 
                         check the differences between spectral indices. There was no 
                         change in landscape considered the years 2008, 2009 and 2010 in 
                         relation to the identification of burned areas. Standardised a 
                         distance of 15 to 30 days to the date of the post-burned image, it 
                         was found that the pixel values able to better distinguish the 
                         burned areas of the remaining was from 0.6 in all difference 
                         images studied, which allowed the identification of burning for 
                         2011/09/04, 2011/08/18 and 2011/08/27. The Tukey test found no 
                         significant differences between indexes available, both of which 
                         were effective in mapping areas of burned scars.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59499",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4G82",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4G82",
           targetfile = "59499.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}