@InProceedings{VenancioAmarFilg:2017:ImFrVe,
               author = "Venancio, Luan Peroni and Amaral, Cibele Hummel do and Filgueiras, 
                         Roberto",
                title = "Imagens fra{\c{c}}{\~a}o de vegeta{\c{c}}{\~a}o, solo e sombra 
                         geradas por modelo linear de mistura espectral para 
                         interpreta{\c{c}}{\~a}o dos valores do NDVI em plantio de milho 
                         irrigado",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6171--6178",
         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 aim of this study was to evaluate the contribution of 
                         fractions images, obtained from spectral mixture analysis, for 
                         interpretation of the Normalized Difference Vegetation Index 
                         (NDVI) values in an area of corn irrigated by central pivot 
                         system, in western of Bahia, Brazil. We worked with seven images 
                         from OLI (Operational Land Imager) sensor onboard of the Landsat 8 
                         satellite. The fraction images of green vegetation, soil and shade 
                         were generated in Viper Tools 1.5. In addition to the fraction 
                         images, the solar zenith angle was calculated for each one of the 
                         seven analyzed images. The results show that the fraction images 
                         of green vegetation, soil and shade, can provide a better 
                         interpretation of NDVI throughout the corn crop cycle. The shade 
                         component influences the NDVI of different forms during the cycle, 
                         as a function of the culture structural variations, since planting 
                         until harvest. Though the temporal variation of shade fraction has 
                         a high correlation with the solar zenith angle changes, the NDVI 
                         does not show the same behavior. Despite of the high correlation 
                         with fraction of green vegetation, the NDVI values were higher in 
                         all cycle phases. Thus, this index appears to overestimate the 
                         crop growing. Others vegetation indices must be tested for rightly 
                         monitoring the corn crop cycle through remote sensing.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59968",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMCE5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCE5",
           targetfile = "59968.pdf",
                 type = "Agricultura e silvicultura",
        urlaccessdate = "27 abr. 2024"
}