%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.22.09.20
%2 ltid.inpe.br/sbsr/2004/11.22.09.20.31
%@isbn 85-17-00018-8
%T Estimativa de área com cana-de-açúcar na micro-região de Ribeirão Preto - SP por meio de amostragem por segmentos quadrados
%D 2005
%A Picoli, Michelle Cristina Araújo,
%A Anjos, Camila Souza dos,
%A Rosa, Viviane Gomes Cardoso,
%A Rizzi, Rodrigo,
%A Rudorff, Bernardo Friedrich Theodor,
%@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 michelle@ltid.inpe.br
%@electronicmailaddress csa@ltid.inpe.br
%@electronicmailaddress vivian@ltid.inpe.br
%@electronicmailaddress rizzi@ltid.inpe.br
%@electronicmailaddress bernardo@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 213-216
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K sampling method, crop area mapping, sugarcane, amostragem, mapeamento de área agrícola, cana-de-açúcar.
%X 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 Ribeirão Preto which is the most relevant sugarcane production region of São 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.
%9 Agricultura
%@language Português
%3 213.pdf