@InProceedings{NovaesAlmeRudoAgui:2011:CePrBa,
               author = "Novaes, Maikon Roberth de and Almeida, Cl{\'a}udia Maria de and 
                         Rudorff, Bernardo Friedrich Theodor and Aguiar, Daniel Alves de",
          affiliation = "{Instituto Brasileiro de Geografia e Estat{\'{\i}}stica – IBGE} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Cen{\'a}rios progn{\'o}sticos baseados em modelagem 
                         din{\^a}mica espacial para o manejo da colheita 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 = "407--414",
         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, sugarcane, environment protocol, Markov chain, 
                         sensoriamento remoto, canade-a{\c{c}}{\'u}car, protocolo 
                         ambiental, cadeia de Markov.",
             abstract = "Since 2006, the National Institute for Space Research (INPE), in 
                         conjunction with the Environmental Department of S{\~a}o Paulo 
                         State (SMA-SP) and the Brazilian Sugarcane Industry Association 
                         (UNICA), is monitoring the practice of sugarcane straw burning 
                         during harvest in S{\~a}o Paulo State, Brazil, using remote 
                         sensing images. An environmental protocol signed between SMA-SP 
                         and the private agro-industrial sugarcane sector in 2007 agreed to 
                         stop sugarcane straw burning by the year 2014 for mechanized 
                         areas. This study aims to evaluate the use of dynamic modeling 
                         scenarios through a stationary model based on Markov chain to 
                         generate spatial predictions of sugarcane harvest practice for the 
                         year 2014. The model was based on the harvest practice of burned 
                         and not burned sugarcane fields during the period of 2006 to 2008 
                         in the municipalities of Ribeir{\~a}o Preto, Jau and its 
                         surroundings. Due to its high dynamic and sensitivity to a large 
                         number of economic factors, in addition to a reduced period of 
                         observations, the model could not correctly assure projections 
                         expected for the year of 2014.",
  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/39TMBEH",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39TMBEH",
           targetfile = "p1363.pdf",
                 type = "Agricultura",
        urlaccessdate = "01 maio 2024"
}