@InProceedings{GonçalvesZull:2009:ReARe,
               author = "Gon{\c{c}}alves, Renata Ribeiro do Valle and Zullo Junior, 
                         Jurandir",
          affiliation = "{Feagri - Faculdade de Engenharia Agr{\'{\i}}cola - Unicamp} and 
                         {Cepagri - Unicamp}",
                title = "Rela{\c{c}}{\~a}o entre a resposta espectral da 
                         cana-de-a{\c{c}}{\'u}car, registrada nas imagens dos 
                         sat{\'e}lites AVHRR/NOAA, em S{\~a}o Paulo, e dados 
                         agroclim{\'a}ticos, no per{\'{\i}}odo de 2001 a 2008",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1377--1384",
         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 = "s{\'e}ries temporais, NDVI, ISNA, previs{\~a}o de safras.",
             abstract = "Brazil in the largest sugar-cane producer of the world and has a 
                         privileged position to attend the national and world´s sugar and 
                         alcohol needs. This fact shows the importance of sugar-cane to the 
                         country and also the necessity of operational systems that can 
                         monitor the vegetation growth through the crop yield on a regional 
                         scale. The main purpose of this study was to create models to 
                         evaluate how NDVI (Normalized Difference Vegetation Index) and 
                         WRSI (Water Requirements Satisfaction Index) behave and relate to 
                         each other, and also to foresee these indexes from April to 
                         December of 2007, in Sao Paulo state productive areas. All images 
                         used were automatically processed by NAVPRO system which generated 
                         radiometric and geometrical corrected images. With all images 
                         corrected, maximum value composition of monthly NDVI and temporal 
                         NDVI profile were generated. The agroclimatic conditions through 
                         the period of analyses were describe by WRSI. To describe it a 
                         water balance was made and maximum and real evapotranspiration 
                         values were calculated on a 10-day period. The models generated by 
                         multivariate time series analyses were well adjusted. For all 
                         models, WRSI precedes NDVI, it means that NDVI depends on WRSI on 
                         every municipal district and the forecasting made was within the 
                         reliable interval, and then results became satisfactory. The 
                         forecasting models developed allow to use the previous crop yield 
                         results as basis to estimation of spectral and agroclimatic crop 
                         yield parameters.",
  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@80/2008/11.17.14.13",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.14.13",
           targetfile = "1377-1384.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "15 jun. 2024"
}