@InProceedings{IlhaPago:2017:AvDeÍn,
               author = "Ilha, Daniel Brondani and Pagotto, Mariana Alves",
                title = "Avalia{\c{c}}{\~a}o do desempenho dos {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o NDVI e SAVI no bioma Caatinga, a partir de 
                         imagens do sat{\'e}lite Landsat 8",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "677--684",
         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 vegetation of the Caatinga biome presents seasonal variations, 
                         where the climate is characterized by a seasonality in 
                         precipitation levels. These variations can be recognized through 
                         the interpretation of vegetation indices. The objective of this 
                         study was to evaluate the vegetation index by calculating the 
                         Normalized Difference Vegetation Index (NDVI) and Soil Adjusted 
                         Vegetation Index (SAVI), in the Caatinga biome of Sergipe state, 
                         detecting the seasonal variation and the spectral behavior of 
                         vegetated areas -, in different densities of vegetation cover. 
                         Sensor OLI images of the Landsat satellite 8, during January, 
                         April, July, August and October of 2015, was used. A Geographic 
                         Information System (GIS) of six sample plots were placed, using a 
                         5x5 pixels for each category: pasture, caatinga vegetation dense 
                         and caatinga vegetation altered. The values of the NDVI and SAVI 
                         indices were calculated from the pixels mean of the parcels. The 
                         results showed highest values of NDVI and SAVI in the months with 
                         higher precipitation and lower values in periods of drought. The 
                         density of the vegetation cover influenced the values of NDVI and 
                         SAVI, with higher values in areas with high vegetation density 
                         when compared with lower vegetation density. Moreover, the 
                         vegetation of the study area was better discriminated by SAVI 
                         index.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59222",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44MP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44MP",
           targetfile = "59222.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}