%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.20.13.42
%2 ltid.inpe.br/sbsr/2004/11.20.13.42.19
%@isbn 85-17-00018-8
%T Estimativa da área de cana-de-açúcar no Estado de São Paulo por meio de sistema de amostragem de área e imagens de sensoriamento remoto
%D 2005
%A Moreira, Maurício Alves,
%A Rosa, Viviane Gomes Cardoso,
%A Rizzi, Rodrigo,
%A Rudorff, Bernardo Friedrich Theodor,
%A Berka, Luciana Miura Sugawara,
%A Duarte, Valdete,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress mauricio@ltid.inpe.br
%@electronicmailaddress vivian@ltid.inpe.br
%@electronicmailaddress rizzi@ltid.inpe.br
%@electronicmailaddress bernardo@ltid.inpe.br
%@electronicmailaddress lmiura@ltid.inpe.br
%@electronicmailaddress valdete@ltid.inpe.br
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
%C Goiânia
%8 16-21 abr. 2005
%I INPE
%J São José dos Campos
%P 197-204
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K remote sensing, sample techniques, area estimation, sensoriamento remoto, técnicas de amostragem, estimativa de área.
%X The present work has the objective to use a sampling square method to estimate sugarcane crop area in São 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.
%9 Agricultura
%@language Português
%3 197.pdf