@InProceedings{AmaralSouzSilvPiff:2013:MoAgEs,
               author = "Amaral, Gisele Martins and Souza, Andr{\'e} Luiz Farias de and 
                         Silva, Miriam Rodrigues da and Piffer, T{\'a}rsis Rodrigo de 
                         Oliveira",
                title = "Modelo agrometeorol{\'o}gico para a estimava de produtividade do 
                         caf{\'e} nos munic{\'{\i}}pios de  Barreiras e Prado no Estado 
                         da Bahia",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1688--1695",
         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 = "This study aimed to use the enhanced vegetation index (EVI) and 
                         evapotranspiration in the estimated production and productivity of 
                         coffee plantations in the municipalities of Barreiras and Prado in 
                         State of Bahia. With EVI data, we defined the period information 
                         of 18 February 2000 to 19 December 2010. In this period, we 
                         calculated the average and maximum values of the vegetation index 
                         in the mapped area with coffee in each municipality. The 
                         predictive model is based on FAO model, but with the use of 
                         satellite information. The model was calibrated with data from 
                         years 2000 to 2007, resulting in an equation of linear trend 
                         analysis for each municipality. These results allowed to estimate 
                         the productivity of the production for the years 2008 to 2010. The 
                         results with the model generated based on vegetation index mapped 
                         area, estimated values close to those generated by the organs 
                         oficiais. The best results with data were found to municipalitie 
                         of Barreiras. However, the productivity estimated by the model 
                         used in this study did not achieve satisfactory results when 
                         compared to other models generalizing, which generally apply well 
                         to cultivation of larger areas, larger plantations and regular 
                         growing season. It should be noted that even with this model is 
                         still considered effective because it represent the real behavior 
                         vegetative.",
  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 = "778",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GFSF",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GFSF",
           targetfile = "p0778.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "03 maio 2024"
}