@InProceedings{RizziRudo:2005:EsCaRi,
               author = "Rizzi, Rodrigo and Rudorff, Bernardo Friedrich Theodor",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estimativa da produtividade de soja por meio de um modelo 
                         agrometeorol{\'o}gico-espectral: estudo de caso no Rio Grande do 
                         Sul",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "237--244",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Grain yield estimate, soybean, remote sensing, MODIS, NDVI, 
                         estimativa de produtividade, soja, sensoriamento remoto.",
             abstract = "An agrometeorological crop yield model, integrated in a Geographic 
                         Information System, was used to estimate soybean grain yield in 
                         Rio Grande do Sul State, Brazil, for the crop year of 2000/01. Two 
                         approaches were used for the model: a) agrometeorological (A) 
                         model with leaf area index (LAI) estimated from fixed literature 
                         values for each growth stage and; b) agrometeorological-spectral 
                         (A-E) model with LAI estimated from biweekly MODIS/NDVI images. 
                         Both models provided similar results in terms of the State mean 
                         crop yield and also compared well with the official statistic from 
                         the Brazilian Institute of Geography and Statistics (IBGE). 
                         However, the A-E model provided much better local estimates due to 
                         the high spatial resolution of LAI data estimated from MODIS/NDVI 
                         images.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.19.14.09",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.14.09",
           targetfile = "237.pdf",
                 type = "Agricultura",
        urlaccessdate = "28 abr. 2024"
}