@InProceedings{FioriTonCunFonSal:2015:ReNDDa,
               author = "Fiori, Diana and Toniolo, Gustavo Rodrigues and Cunha, Henrique 
                         Noguez da and Fontana, Denise Cybis and Saldanha, Dejanira 
                         Luderitz",
                title = "Rela{\c{c}}{\~a}o entre NDVI e dados de precipita{\c{c}}{\~a}o 
                         em diferentes safras de soja no munic{\'{\i}}pio de Cruz Alta - 
                         RS",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6351--6357",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The use of NDVI for monitoring agricultural crops of soybeans is 
                         of extreme importance, especially when correlated with rainfall 
                         data, because the water conditions are limiting factor to the 
                         production of this crop. Drought is usually the main factor 
                         responsible for crop losses. Thus, this study aimed to analyze two 
                         agricultural crops of soybeans through the vegetation index NDVI 
                         and rainfall data, in the city of Cruz Alta, state of Rio Grande 
                         do Sul. The soybean crop in the years 2004/2005 showed great loss 
                         of grains due to high water deficiency. The spectral curves showed 
                         a decline in NDVI values after a period of water shortage that 
                         occurred in January 2005, causing the loss of almost all grain 
                         production. On the other hand, the 2010/2011 harvest had constant 
                         rainfall volumes. With this, we obtained an ideal spectral curve 
                         for growing soybeans, where NDVI values showed low levels early in 
                         the cycle due to the low number of spectral curve sheets, 
                         following the sharp increase in NDVI values until near the period 
                         of maturation, when the values begin to drop until the harvest. We 
                         can evaluate that there is a correlation between NDVI values and 
                         rainfall data, and these are clearly visible in the spectral 
                         curves.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1379",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4HPK",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4HPK",
           targetfile = "p1379.pdf",
                 type = "Produ{\c{c}}{\~a}o e previs{\~a}o agr{\'{\i}}cola",
        urlaccessdate = "08 maio 2024"
}