@InProceedings{CunhaMaga:2017:ÍnVeBa,
               author = "Cunha, Thais Carvalho and Magalh{\~a}es, Vanderlei Leopold",
                title = "{\'{\I}}ndice de vegeta{\c{c}}{\~a}o da bacia 
                         hidrogr{\'a}fica do rio Taturi Oeste PR",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "811--817",
         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 principle of Normalized Difference Vegetation Index (NDVI) is 
                         based on the contrast between the spectral regions, the larger the 
                         higher contrast the vigor of the vegetation in the imaged areas. 
                         The river basin Taturi, part of the Paran{\'a} Basin III, is an 
                         area that has anthropogenic interference, being necessary to carry 
                         out monitoring of the remaining vegetation. In view of this, the 
                         aim of this study is to obtain Vegetation Index through images of 
                         Landsat - 8 for later use mapping and soil cover of the basin. The 
                         NDVI is determined by calculating the ratio between the difference 
                         of reflectance of these bands and the sum of them, namely: NDVI = 
                         G * [(NIR-R) / (NIR + R)] + offset. The NDVI was generated in the 
                         SPRING software on the image of February 2015 to gain 2000 values 
                         and 100 offset. The segmentation and classification, thresholds of 
                         similarity and 8 pixel area 16 presenting qualitative and 
                         quantitative details of vegetation were applied. The 
                         classification allowed the generation of 29 issues that were 
                         associated with the five classes, highlighting hydrography, 
                         vegetation, agricultural area, exposed soil and the urban area. 
                         The total area of this vegetation was 56.4822 square kilometers, 
                         ie 19.91% of the Taturi River basin. It appears that the mapped 
                         vegetation, with this methodology is representative along the 
                         riparian forests and sometimes comes in small isolated islands. 
                         Note also that the digital processing techniques of images in the 
                         SPRING software, using high radiometric and atmospheric correction 
                         of the USGS images, were efficient in identifying and quantifying 
                         the vegetation, allowing future comparisons or preterit for this 
                         basin.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60195",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4FL7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FL7",
           targetfile = "60195.pdf",
                 type = "Recursos h{\'{\i}}dricos",
        urlaccessdate = "27 abr. 2024"
}