@InProceedings{GussoAdaForRudRiz:2009:AnSéTe,
               author = "Gusso, Anibal and Adami, Marcos and Formaggio, Ant{\^o}nio 
                         Roberto and Rudorff, Bernardo Friedrich Theodor and Rizzi, 
                         Rodrigo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto Nacional de 
                         Pesquisas Espaciais} and {Instituto Nacional de Pesquisas 
                         Espaciais} and {Universidade Federal de Pelotas}",
                title = "An{\'a}lise de s{\'e}ries temporais EVI/MODIS para a estimativa 
                         da {\'a}rea cultivada com soja no Rio Grande do Sul",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "207--213",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "crop area estimates, agriculture, EVI/MODIS, time-series, 
                         estimativa de {\'a}reas agr{\'{\i}}colas, agricultura, 
                         EVI/MODIS, s{\'e}ries temporais.",
             abstract = "Agricultural forecasts estimates of soybean crop need to be 
                         accurate and timely in order to be adequately used by decision 
                         makers from the agribusiness sector of this commodity. Although 
                         soybean crop is cultivated under high level of agricultural 
                         practices its area estimation in Brazil is mainly based on 
                         traditional and subjective methods. The main goal of this study 
                         was to derive a method to estimate soybean crop area using EVI 
                         (Enhanced Vegetation Index) time-series from the MODIS sensor 
                         onboard of the Terra satellite. This research was carried out for 
                         223 municipalities in Rio Grande do Sul State during the period of 
                         five crop years (2002/03 to 2007/08). The estimated soybean areas, 
                         at municipal level, using the EVI time-series, were compared to 
                         the official statistics provided by IBGE using regression 
                         analysis. Regression analysis and statistics of results are 
                         encouraging. The overall results shown a slightly overestimation 
                         obtained with this approach. EVI/MODIS estimated area explained 
                         94% of the municipal soybean crop area variation indicating that 
                         it has great potential to accurately estimate municipal soybean 
                         area with the advantage of providing anticipated information prior 
                         to the soybean harvest. This method must be evaluated over another 
                         regions.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.18.01.43.47",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.01.43.47",
           targetfile = "207-213.pdf",
                 type = "Agricultura",
        urlaccessdate = "28 abr. 2024"
}