%0 Conference Proceedings
%4 dpi.inpe.br/plutao/2012/11.28.15.00
%2 dpi.inpe.br/plutao/2012/11.28.15.00.01
%F lattes: 4872965504009836 2 MelloMelAdaAguRud:2012:CaPrAc
%T Canasat Project accuracy assessment of sugarcane thematic maps
%D 2012
%A Mello, Márcio Pupin,
%A Adami, Marcos,
%A Rudorff, Bernardo Friedrich Theodor,
%A Aguiar, Daniel Alves de,
%@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 mello@ieee.org
%@electronicmailaddress adami@dsr.inpe.br
%@electronicmailaddress bernardo@dsr.inpe.br
%@electronicmailaddress daniel@dsr.inpe.br
%B International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 10.
%C Florianópolis, SC,
%8 2012
%I International Spatial Accuracy Research Association (ISARA)
%P 281-286
%S Proceedings
%K Remote sensing, web platform, sampling, Monte Carlo method.
%X In order to perform the thematic accuracy assessment of Canasat Project mapping, we used a novel approach to construct the reference dataset which consists of a web platform used to integrate remote sensing images, time series, and ancillary data. Results showed that, although Canasat Project mapping of sugarcane areas has a mean overall accuracy of 98%, the mean thematic error associated with sugarcane area estimates was of 0.7%, since part of the omission errors was compensated by the inclusion errors. Despite assessing only one crop year (2010/2011) we would also expect to obtain very similar results for other crop years due to the consistent method and the careful visual interpretation carried out by the Canasat Project experienced team.
%@language en
%3 Mello_canasat.pdf
%U http://www.dsr.inpe.br/~mello