@InProceedings{BorgesBapt:2017:AvPoÍn,
               author = "Borges, Bruno Carramaschi and Baptista, Gustavo Macedo de Mello",
                title = "Avalia{\c{c}}{\~a}o da potencialidade do {\'{\i}}ndice de 
                         vegeta{\c{c}}{\~a}o SFDVI (Spectral Feature Depth Vegetation 
                         Index) para a discretiza{\c{c}}{\~a}o da cobertura do solo em 
                         {\'a}reas rurais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1931--1938",
         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 appraisal of farms market value is widely used by the 
                         Brazilian Federal Government as a tool for obtaining land. For 
                         this, it is necessary to define its characteristics. The use of 
                         vegetation indices for determining the ground cover is an 
                         appropriate tool for this purpose. This study aims to evaluate the 
                         potential of SFDVI (Spectral Feature Depth Vegetation Index) in 
                         land cover discretization and compare their performance with two 
                         other indexes traditionally used for this purpose. Therefore, we 
                         use a RapidEye image and selected the NDVI and EVI indexes to 
                         compare their individual ability to identify soil, grasslands, 
                         gallery forest, savannah and water. The result of applying the 
                         indexes showed that SFDVI presented a higher potential, especially 
                         for targets with dense vegetation cover. In addition, the 
                         similarity was tested using the Mann-Whitney test and verified 
                         that despite the three presenting high correlation, they are not 
                         similar.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59506",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLPL3",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPL3",
           targetfile = "59506.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "09 maio 2024"
}