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		<label>lattes: 4872965504009836 2 MelloMelAdaAguRud:2012:CaPrAc</label>
		<citationkey>MelloAdamRudoAgui:2012:CaPrAc</citationkey>
		<title>Canasat Project accuracy assessment of sugarcane thematic maps</title>
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		<year>2012</year>
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		<author>Mello, Márcio Pupin,</author>
		<author>Adami, Marcos,</author>
		<author>Rudorff, Bernardo Friedrich Theodor,</author>
		<author>Aguiar, Daniel Alves de,</author>
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		<group>DSR-OBT-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>mello@ieee.org</electronicmailaddress>
		<electronicmailaddress>adami@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>bernardo@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>daniel@dsr.inpe.br</electronicmailaddress>
		<e-mailaddress>mello@dsr.inpe.br</e-mailaddress>
		<conferencename>International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 10.</conferencename>
		<conferencelocation>Florianópolis, SC,</conferencelocation>
		<date>2012</date>
		<publisher>International Spatial Accuracy Research Association (ISARA)</publisher>
		<pages>281-286</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Paper</tertiarytype>
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		<contenttype>External Contribution</contenttype>
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		<keywords>Remote sensing, web platform, sampling, Monte Carlo method.</keywords>
		<abstract>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.</abstract>
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		<language>en</language>
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