@Article{RudorffBati:1990:SpMo,
               author = "Rudorff, Bernardo Friedrich Theodor and Batista, Getulio 
                         Teixeira",
                title = "Yield estimation of sugarcane based on agrometeorological - 
                         spectral models",
              journal = "Remote Sensing of Environment",
                 year = "1990",
               volume = "31",
               number = "3",
                pages = "183--192",
             keywords = "agrometeorological spectral model, sugarcane, yield estimation.",
             abstract = "This work assess the performance of a yield estimation model for 
                         sugarcane (Sacharum officinarum)that uses spectral data in 
                         conjunction with yield estimated from an agrometeorological model. 
                         The test site was the sugarcane plantations of the Lencois 
                         Paulista municipality in Sao Paulo State, Brazil. Production data 
                         for four crop years were analyzed. Yields (tons of stalks/ha)of 
                         the first crop year (1983/84)were regressed against spectral and 
                         agrometeorological data of that same year and used to predict the 
                         yield the following crop year, i.e. 1984/85. The models to predict 
                         the yield in subsequent years (up to 1987/88)were developed 
                         similarly, incorporating all previous years data. The yield 
                         estimations obtained from thse models explained 69, 54 and 50 of 
                         the yield variation in the 1984/85, 1985/86 and 1986/87 crop 
                         years, respectively. The accuracy of yield estimations based on 
                         spectral data only vegetation index model)and agrometeorological 
                         data only (agrometeorological model)that were also investigated 
                         gave poorer results than the combined agrometeorological - 
                         spectral model.",
                  doi = "10.1016/0034-4257(90)90029-L",
                  url = "http://dx.doi.org/10.1016/0034-4257(90)90029-L",
                 issn = "0034-4257",
                label = "6874",
             language = "en",
           targetfile = "1990_rudorff2.pdf",
        urlaccessdate = "18 jun. 2024"
}