@InProceedings{OliveiraCarMiyAlvCri:2017:UtReLi,
               author = "Oliveira, Bernard Silva de and Carvalho, Helber de and Miyashita, 
                         Priscila Midori and Alves, Raissa Daher and Crist{\'o}v{\~a}o, 
                         Carlos Ant{\^o}nio de Melo",
                title = "Utiliza{\c{c}}{\~a}o de regress{\~a}o linear em s{\'e}ries 
                         temporais landsat-5 na identifica{\c{c}}{\~a}o de desmatamento 
                         no munic{\'{\i}}pio de S{\~a}o Miguel do Araguaia-GO entre 2002 
                         e 2011",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6655--6662",
         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 Cerrado Biome has suffered intense degradation in the last 
                         decades. The State of Goi{\'a}s, a component of the biome, had 
                         its vegetation affected by degradations motivated by agriculture 
                         and pasture, with an emphasis on the economic aspect. The use of 
                         satellite data associated with Geographic Information Systems has 
                         positive experiences in the monitoring of deforestation, and for 
                         this reason it is adopted in national research institutions. From 
                         this, this work aims to identify areas in the municipality of 
                         S{\~a}o Miguel do Araguaia-GO that have undergone deforestation 
                         between 2002 and 2011 by means of linear regression in NDVI 
                         temporal images of the TM sensor on board the Landsat-5 satellite. 
                         The adopted method applies a linear regression in the temporal 
                         images of NDVI, extracting the slope of each value of the pixel in 
                         relation to the posterior year. Three slope values were defined: 
                         5, 10 and 15 degrees, representing the degrees of sensitivity of 
                         the vegetation cover change. It was verified that the value of 5º 
                         obtained greater sensitivity of alteration of the vegetation cover 
                         of low to high tree density. In the validation, this method 
                         obtained an overall precision of 83.13%, 72.18%, 50.9%, 47.62% 
                         respectively between 2008 and 2011 done in the value of 5º of 
                         slope. In the comparison with another mapping method, such as the 
                         Brazilian Biome Deforestation Monitoring Project (PMDBBS), it was 
                         verified that the overall accuracy was 66.67% and the Kappa index 
                         of 0.3, being therefore suitable for the detection of tree 
                         changes. The proposal may be relevant to accompany the 
                         transformations in a biome like the Cerrado, which has a great 
                         diversity of forest cover.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59750",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDB9",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDB9",
           targetfile = "59750.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "27 abr. 2024"
}