@InProceedings{NascimentoZull:2009:UtSéTe,
               author = "Nascimento, Cristina Rodrigues and Zullo Junior, Jurandir",
          affiliation = "CEPAGRI/UNICAMP and CEPAGRI/UNICAMP",
                title = "Utiliza{\c{c}}{\~a}o de s{\'e}ries temporais de imagens do 
                         sensor AVHRR/NOAA-17 e modelo matem{\'a}tico na estimativa da 
                         produtividade da 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 = "1449--1456",
         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 = "Image processing, Time Series, NDVI, Processamento de imagens, 
                         S{\'e}rie Temporal, NDVI.",
             abstract = "Brazil is the first producer of sugar cane in the world. Despite 
                         the economic and social importance of agribusiness to Brazil, it 
                         is still very difficult to estimate the harvest of the its main 
                         crops with the precision and anticipation needed, justifying the 
                         study and development of new methods based on the use of remote 
                         sensing data. Thus the present study had two main aims: i) Assess 
                         and adjust a mathematical model proposed by Pelegrino (2001) and 
                         ii) Assess the yield of sugar cane through the use of a time 
                         series of AVHRR/NOAA images, based on the response of the NDVI 
                         vegetation index. The results are promising, since was possible to 
                         get errors less than 5% in estimating the productivity of sugar 
                         cane from 110 to 150 days in advance of the next season. The use 
                         of time series of AVHRR/NOAA images presented a very satisfactory 
                         outcome, allowing an increase of the objectivity of the methods of 
                         agricultural monitoring.",
  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@80/2008/11.17.16.42.52",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.16.42.52",
           targetfile = "1449-1456.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "15 jun. 2024"
}