@InProceedings{ÁvilaGonçPintZull:2009:ReAPr,
               author = "{\'A}vila, Ana Maria Heuminski de and Gon{\c{c}}alves, Renata 
                         Ribeiro do Valle and Pinto, Hilton Silveira and Zullo Junior, 
                         Jurandir",
          affiliation = "CEPAGRI/UNICAMP and FEAGRI/UNICAMP and CEPAGRI/UNICAMP and 
                         CEPAGRI/UNICAMP",
                title = "Rela{\c{c}}{\~a}o entre a precipita{\c{c}}{\~a}o e o NDVI em 
                         imagens AVHRR/NOAA para a cana-de-a{\c{c}}{\'u}car, no estado de 
                         S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "553--560",
         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 = "cross correlation, meteorological radar, correla{\c{c}}{\~a}o 
                         cruzada, radar meteorol{\'o}gico.",
             abstract = "Brazil is the first world producer of sugar cane, with a potential 
                         suitable area for growing more than six million hectares that can 
                         supply the needs of world sugar and alcohol in next decades. The 
                         main objective of this work was compare the monthly rainfall data 
                         estimated by radar and the monthly precipitation measured by 
                         weather stations with the monthly NDVI values obtained through 
                         AVHRR / NOAA images to monitor the sugar cane development at ten 
                         municipalities in the state of Sao Paulo. The AVHRR / NOAA images 
                         were processed by NAVPRO system to generate radiometric and 
                         geometrically corrected images. The rainfall radar data were 
                         calculated from a series of reflectivity images available at 
                         intervals of up to 7 minutes. The statistical analysis showed 
                         significant correlations between NDVI and rainfall data at the 
                         municipalities. The NDVI was sensitive to the events of rainfall, 
                         with a delay of two months, with high spatial variability. The 
                         weather radar can be an auxiliary tool in rainfall monitoring at 
                         points of the 1x1km grid, improving the spatial resolution, given 
                         the small number of meteorological stations available.",
  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@80/2008/11.17.16.20",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.16.20",
           targetfile = "553-560.pdf",
                 type = "Agricultura",
        urlaccessdate = "15 jun. 2024"
}