@InProceedings{CabralPoliTrabMass:2017:UsDaMO,
               author = "Cabral, Gabriel Hertz and Poliseli, Paulo C{\'e}sar and 
                         Trabaquini, Kleber and Massignam, Angelo Mendes",
                title = "Uso de dados MODIS e do Vegetation Condition Index como 
                         instrumentos para identifica{\c{c}}{\~a}o de seca 
                         agron{\^o}mica em Santa Catarina",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4010--4017",
         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 = "Observation of in situ parameters can evidence the occurrence of 
                         agricultural drought, as well as vegetation cover characterization 
                         data, such as vegetation indexes (VI). The use of tools that allow 
                         getting information independent of meteorological data is 
                         indispensable for drought monitoring. The VIs are products of 
                         remote sensing and important tools that can cooperate for 
                         agricultural management. In this paper, corn yield drop data 
                         caused by agricultural drought was related with the Vegetation 
                         Condition Index (VCI), estimated from Enhanced Vegetation Index 
                         images, during the period of january 2002 to december 2015 in the 
                         state of Santa Catarina/ Brazil. Images of the vegetation index 
                         and graphs of the relationship between corn crop yield and the VCI 
                         were generated. The harvests with lower values were obtained in 
                         2004, 2008 and 2011, whereas the best values were obtained in the 
                         harvests of 2002, 2006, 2007, 2009 and 2010. The variation of VCI 
                         values corresponded to the corn yield in almost all microregions 
                         and for most of the periods evaluated. The crop shortfall ocurred 
                         only below VCI 0,633. The coefficient of determination between 
                         yield and VCI were 0,58. The use of EVI for calculating the VCI 
                         was satisfactory, once it evidenced the most severe cases of 
                         agricultural drought in the microregions evaluated.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59411",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2CH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2CH",
           targetfile = "59411.pdf",
                 type = "Agricultura e pecu{\'a}ria",
        urlaccessdate = "27 abr. 2024"
}