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@InProceedings{GonçalvesRomZulÁviTra:2011:AnTeMu,
               author = "Gon{\c{c}}alves, Renata Ribeiro do Valle and Romani, Luciana 
                         Alvim Santos and Zullo J{\'u}nior, Jurandir and {\'A}vila, Ana 
                         Maria Heuminski de and Traina, Agma Juci Machado",
          affiliation = "{Cepagri / Feagri – Unicamp} and {Universidade de S{\~a}o Paulo – 
                         USP/ICMC} and {Cepagri / Feagri – Unicamp} and {Cepagri / Feagri – 
                         Unicamp} and {Universidade de S{\~a}o Paulo – USP/ICMC}",
                title = "An{\'a}lise temporal de munic{\'{\i}}pios produtores de 
                         cana-de-a{\c{c}}{\'u}car no estado de S{\~a}o Paulo por meio de 
                         agrupamento do NDVI (AVHRR/NOAA) e dados de produtividade e 
                         {\'a}rea",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "591--598",
         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, K-means, biofuel, sensoriamento remoto, 
                         K-m{\'e}dias, biocombust{\'{\i}}vel.",
             abstract = "Sugar cane has become strategic to the Brazilian economy, 
                         especially due to its importance in the replacement of fossil 
                         fuels. In recent years, the development of bi-fuel car engines 
                         leaded to a fast increase in the demand for ethanol, one of the 
                         most important derivatives of sugar cane. Therefore, it is very 
                         important to monitor the crop seasons in order to estimate the 
                         yield of sugar cane as well as to evaluate the expansion of this 
                         crop in the country. There are several models to estimate the 
                         sugar cane production involving physiological, meteorological and 
                         pedological variables. However, the use of satellite images to aid 
                         in the monitoring of sugar cane production has increased greatly 
                         in recent years. In this context, this paper presents an 
                         assessment of the distribution of sugar cane regions in the last 
                         eight crop seasons, according to three different clusters. The 
                         test area was the most important region of sugar cane production 
                         in the S{\~a}o Paulo state, Brazil. In the experiments, we have 
                         used annual variables of NDVI (from AVHRR/NOAA), planted area and 
                         productivity values. These variables were used to define the three 
                         clusters by a clustering technique. Results showed that there was 
                         an increasing in the number of regions in the cluster where the 
                         planted area is greater over the years, confirming the sugar cane 
                         expansion to other areas.",
  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/39ULRCR",
                  url = "http://urlib.net/rep/3ERPFQRTRW/39ULRCR",
           targetfile = "p0861.pdf",
                 type = "Agricultura",
        urlaccessdate = "24 jan. 2021"
}


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