@InProceedings{RodriguesFernElmiFari:2013:AvCoVe,
               author = "Rodrigues, Evandro Lu{\'{\i}}s and Fernandes, Daniel Henrique 
                         Ferreira and Elmiro, Marcos Ant{\^o}nio Timb{\'o} and Faria, 
                         S{\'e}rgio Donizete",
                title = "Avalia{\c{c}}{\~a}o da cobertura vegetal por meio dos 
                         {\'{\i}}ndices de vegeta{\c{c}}{\~a}o SR, NDVI, SAVI e EVI na 
                         sub-bacia do vale do rio Itapecerica, alto S{\~a}o Francisco, em 
                         Minas Gerais",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1472--1479",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Since the 1960s, the scientific community is working hard in 
                         development of techniques applied to remote sensing products that 
                         are able to monitor the vegetation in large scale from the use of 
                         images, especially orbitals. Vegetation indices are important 
                         digital image processing techniques that aim to reduce the amount 
                         of spectral data and enhance the spectral contribution of green 
                         vegetation, as well as reducing the contribution of soil, sun 
                         angle, senescent vegetation and the atmosphere. Thus, the 
                         objective of this study is to evaluate the vegetation cover in the 
                         Itapecerica river valley sub basin located in Minas Gerais state, 
                         Brazil, using the vegetation indices SR, NDVI, SAVI and EVI 
                         applied to TM/Landsat 5 image. The results showed that indices 
                         produced reasonable distinction between the defined categories of 
                         vegetation. The SR index presented few problems for some areas due 
                         to atmospheric interference and soil. The NDVI presented some 
                         confusion in the identification of exposed soils and soils with 
                         little or no vegetation. Among all the evaluated indices, the best 
                         performance can be attributed to SAVI, probably due to soil 
                         conditions in the basin, which apparently has a great influence on 
                         reflectance values. The EVI presented better separation of classes 
                         in densely vegetated categories, showing behavior similar to SAVI, 
                         presenting class boundaries very suchlike and equivalent 
                         performance in the identification of vegetation cover. The general 
                         results showed that the area covered by vegetation can be 
                         estimated to an acceptable level, although the limitations of 
                         TM/Landsat 5 image properties.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "59",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7G6C8",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7G6C8",
           targetfile = "p0059.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Dados Multiespectrais",
        urlaccessdate = "16 jun. 2024"
}