@InProceedings{PicoliAnjRosRizRud:2005:SPMeAm,
               author = "Picoli, Michelle Cristina Ara{\'u}jo and Anjos, Camila Souza dos 
                         and Rosa, Viviane Gomes Cardoso and Rizzi, Rodrigo and Rudorff, 
                         Bernardo Friedrich Theodor",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Estimativa de {\'a}rea com cana-de-a{\c{c}}{\'u}car na 
                         micro-regi{\~a}o de Ribeir{\~a}o Preto - SP por meio de 
                         amostragem por segmentos quadrados",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "213--216",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "sampling method, crop area mapping, sugarcane, amostragem, 
                         mapeamento de {\'a}rea agr{\'{\i}}cola, 
                         cana-de-a{\c{c}}{\'u}car.",
             abstract = "Sugarcane is among the most important commodities to Brasil; 
                         therefore, accurate information about sugarcane production is a 
                         relevant task. Several methods are available to provide 
                         agricultural statistics for municipal, regional, state or country 
                         level. In the present work we tested a sampling method that uses 
                         remote sensing images together with Geographic Information System 
                         (GIS) to accurately estimate sugarcane area at the regional level 
                         for the region of Ribeir{\~a}o Preto which is the most relevant 
                         sugarcane production region of S{\~a}o Paulo State, Brazil. To 
                         evaluate the results of this study a sugarcane reference map was 
                         available. It was found that with a selected sample set of 165 
                         segments with 1 x 1 km, sugarcane area could be estimated with a 
                         relative difference of only 4.2% (120 ha) and at a confidence 
                         level of 99%. The result is encouraging since it can be obtained 
                         early in the crop year season, is independent of subjective 
                         information and provides an error associated to the area 
                         estimation.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.22.09.20",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.22.09.20",
           targetfile = "213.pdf",
                 type = "Agricultura",
        urlaccessdate = "18 jun. 2024"
}