@InProceedings{Gusso:2011:PrCuSo,
               author = "Gusso, Anibal",
          affiliation = "{Instituto Nacional de Pesquisas Espacias- INPE}",
                title = "Produtividade da cultura da soja no Rio Grande do Sul com dados 
                         EVI/MODIS",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "55--62",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, soybean productivity, model, sensoriamento remoto, 
                         produtividade da soja, modelo.",
             abstract = "Nowadays, agricultural commodity market requires more efficient 
                         and better control of information on crop production. Due to 
                         characteristics of Brazil, in this market, the attainment of 
                         reliable and timely agricultural estimates is very important. The 
                         objective of this study was to evaluate the coupled models 
                         performance of crop area and crop productivity estimates, for an 
                         adequate temporal and spatial resolution. The productivity model 
                         proposed is complementarily added to the previously developed 
                         model of crop area estimate. The coupled model results were 
                         compared to Brazilian Institute of Geography and Statistics (IBGE) 
                         data, in a State and municipality level. Both, MODIS Crop 
                         Detection Model (MCDM) and MODIS Productivity Detection Model 
                         (MPDM) were developed at the National Institute for Space Research 
                         (INPE) and use analysis of the temporal-spectral profile of 
                         agricultural crop development, achieved with EVI/MODIS images. 
                         Results indicate that application of the coupled model is able to 
                         generate timely crop area and productivity estimates for soybean 
                         in the Rio Grande do Sul in a municipality level. In a State 
                         level, estimates of MPDM from 2001 to 2008, obtained R 2 =0.89, 
                         with a higher deviation for 2002. R 2 =0.96 were obtained by 
                         subtracting harvest of 2002 from the analysis. Kriging 
                         productivity maps, of MPDM and IBGE, were compared and shown a 
                         visual similarity in their spatial distribution and development 
                         trend.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/39UQD65",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39UQD65",
           targetfile = "p1547.pdf",
                 type = "Agricultura",
        urlaccessdate = "12 maio 2024"
}