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		<citationkey>Begliomini::CyMoUr</citationkey>
		<title>Cyanobacteria monitoring on urban reservoirs using hyperspectral orbital remote sensing data and machine learning</title>
		<alternatetitle>Monitoramento de cianobactérias em reservatórios urbanos usando dados de sensoriamento remoto hiperespectral orbital e algoritomos de aprendizado de máquina</alternatetitle>
		<course>SER-SRE-DIPGR-INPE-MCTI-GOV-BR</course>
		<date>2022/05/30</date>
		<thesistype>Dissertação (Mestrado em Sensoriamento Remoto)</thesistype>
		<secondarytype>TDI</secondarytype>
		<numberofpages>78</numberofpages>
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		<author>Begliomini, Felipe Nincao,</author>
		<committee>Barbosa, Cláudio Clemente Faria ,</committee>
		<committee>Martins, Vitor de Souza ,</committee>
		<committee>Novo, Evlyn Marcia Leão de Moraes ,</committee>
		<committee>Ciotti, Áurea Maria ,</committee>
		<committee>Nordi, Cristina Souza Freire ,</committee>
		<committee>Lamparelli, Marta Condé,</committee>
		<e-mailaddress>fnincao@hotmail.com</e-mailaddress>
		<university>Instituto Nacional de Pesquisas Espaciais (INPE)</university>
		<city>São José dos Campos</city>
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		<keywords>cyanobacteria, C-phycocyanin, remote sensing, PRISMA, machine leaning, inland water, eutrophication, urban reservoir, cianobactérias, C-ficocianina, sensoriamento remoto, PRISMA, aprendizado de máquina, águas continentais, eutrofização, reservatórios urbanos.</keywords>
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		<language>en</language>
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