@InProceedings{MoreiraRoRiRuBeDu:2005:EsÁrCa,
               author = "Moreira, Maur{\'{\i}}cio Alves and Rosa, Viviane Gomes Cardoso 
                         and Rizzi, Rodrigo and Rudorff, Bernardo Friedrich Theodor and 
                         Berka, Luciana Miura Sugawara and Duarte, Valdete",
          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)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Estimativa da {\'a}rea de cana-de-a{\c{c}}{\'u}car no Estado de 
                         S{\~a}o Paulo por meio de sistema de amostragem de {\'a}rea e 
                         imagens de sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "197--204",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, sample techniques, area estimation, sensoriamento 
                         remoto, t{\'e}cnicas de amostragem, estimativa de {\'a}rea.",
             abstract = "The present work has the objective to use a sampling square method 
                         to estimate sugarcane crop area in S{\~a}o Paulo State, Brazil. A 
                         sugarcane thematic map obtained from multitemporal Landsat images 
                         classification was used as reference data and to stratify the 
                         State area into eight sugarcane area densities (0-13, 13-21, 
                         21-31, 31-54, 54-74, 74-85, 85-95 and >95%) within 1 x 1 km 
                         segments. A probabilistic technique was used to determine four 
                         sample rates representing 0.07, 0.1, 0.3 and 0.4% of the study 
                         area which were randomly sampled one hundred times. The sugarcane 
                         area for each sample was evaluated based on the reference data 
                         map. The one hundred estimates for each sample rate were then 
                         compared with the reference data for the entire study area. Best 
                         results were obtained for the 0,3% sample rate (412 segments) were 
                         the relative difference of the area estimation was around 
                         \2% with a coefficient of variation lower than 2%, 
                         indicating that this method is not only suitable to accurate 
                         estimate sugarcane at State level but it is also an appropriate 
                         alternative for early forecast or when cloud free images are not 
                         available.",
  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/2004/11.20.13.42",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.13.42",
           targetfile = "197.pdf",
                 type = "Agricultura",
        urlaccessdate = "09 maio 2024"
}