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		<doi>10.1109/igarss.2014.6946568</doi>
		<isbn>9781479957750</isbn>
		<label>lattes: 2691497637313274 5 CurtarelliOgaAlcLorSte:2014:SpTeDy</label>
		<citationkey>CurtarelliOgaAlcLorSte:2014:SpTeDy</citationkey>
		<title>Spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir</title>
		<project>ELETRONORTE (grants 4500075234), ANEEL (grants 8000003629); CNPq (grant 573797/2008-0); CNPq (grants 161233/2013-9).</project>
		<year>2014</year>
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		<author>Curtarelli, Marcelo Pedroso,</author>
		<author>Ogashawara, Igor,</author>
		<author>Alcântara, Enner Herenio de,</author>
		<author>Lorenzzetti, João Antônio,</author>
		<author>Stech, José Luiz,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>São Paulo State University, Department of Cartography, Presidente Prudente, Brazil.</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<e-mailaddress>marcelo.pazos@inpe.br</e-mailaddress>
		<conferencename>International Geoscience and Remote Sensing Symposium, (IGARSS).</conferencename>
		<conferencelocation>Quebec</conferencelocation>
		<date>July 13-18, 2014.</date>
		<pages>890-893</pages>
		<booktitle>Proceedings</booktitle>
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		<contenttype>External Contribution</contenttype>
		<keywords>trophic state index, hydroelectric reservoir, Amazon, remote sensing, spectral angle mapper.</keywords>
		<abstract>We assessed the spatial and temporal dynamic of the trophic state in a large Amazonian hydroelectric reservoir during the Austral wintertime using images acquired by the Operational Land Imager (OLI) sensor on board the Landsat 8 satellite. We used the Spectral Angle Mapper (SAM) algorithm and reference in situ spectra to classify the OLI images according to a trophic state index (TSI). The results showed that the use of OLI images and the SAM algorithm were suitable for the mapping of the TSI in the Amazonian reservoirs. In our particular case, the reservoir presented a high spatial and temporal heterogeneity in the TSI during the studied period. However, further studies are needed to better characterize the dynamics of the trophic state and its driven forces.</abstract>
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