@InProceedings{NascimentoZull:2011:UtSéTe,
               author = "Nascimento, Cristina Rodrigues and Zullo Junior, Jurandir",
          affiliation = "{Universidade Federal de Minas Gerais – UFMG} and {Centro de 
                         Pesquisas Meteorol{\'o}gicas e Clim{\'a}ticas Aplicadas {\`a} 
                         Agricultura - CEPAGRI/UNICAMP}",
                title = "Utiliza{\c{c}}{\~a}o de S{\'e}ries Temporais de Imagens 
                         AVHRR/NOAA no apoio {\`a} Estimativa Operacional da 
                         Produ{\c{c}}{\~a}o da cana-de-a{\c{c}}{\'u}car no Estado de 
                         S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "116--123",
         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 = "Sugar cane, NDVI, time series, harmonic analysis, 
                         cana-de-a{\c{c}}{\'u}car, NDVI, s{\'e}ries temporais, 
                         an{\'a}lise harm{\^o}nica.",
             abstract = "Brazil is the first world producer of sugar cane. The State of Sao 
                         Paulo is the first national producer of sugar cane, contributing 
                         with more than 60% of national production. Due to the high 
                         relevance of production, it is important to have insurance 
                         estimates and surveys of areas cultivated with the crop. The 
                         progress of the different remote sensing techniques has allowed to 
                         use satellite images to monitor and assist the estimation of these 
                         areas. There are numerous options, including images from the 
                         AVHRR/NOAA. Combining the need to obtain more precise estimates of 
                         the yields of cane sugar, with the potential to acquire 
                         agricultural information culture through the NDVI, this study 
                         explored the time series analysis of NDVI/AVHRR images and the 
                         identification of areas with sugar cane in the State of Sao Paulo. 
                         The results indicate that areas with sugar cane are well modeled, 
                         from the harmonic analysis, the five crops examined, allowing them 
                         to differentiate them from other cultures, the RGB compositions 
                         used according to their growing seasons. From the supervised 
                         classification using the maximum likelihood algorithm of image 
                         amplitude, phase and aditive term was generated a map representing 
                         the spatial distribution of culture in the state in the 
                         crop-season 03/04, 04/05, 05/06, 06/07 and 07/08. The results 
                         obtained in each crop-season were compared with as reference, 
                         provided by the project CANASAT/INPE. It was found that the 
                         smaller relative errors, around 10% for the season 07/08, were 
                         found from the estimate based on the error matrix.",
  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/39UFG3S",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39UFG3S",
           targetfile = "p1001.pdf",
                 type = "Agricultura",
        urlaccessdate = "15 jun. 2024"
}