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		<doi>10.3390/rs12172828</doi>
		<issn>2072-4292</issn>
		<citationkey>CurtarelliBMFCNCS:2020:ReSeSe</citationkey>
		<title>Diffuse attenuation of clear water tropical reservoir: a remote sensing semi-analytical approach</title>
		<year>2020</year>
		<month>Sept.</month>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
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		<author>Curtarelli, Victor Pedroso,</author>
		<author>Barbosa, Cláudio Clemente Faria,</author>
		<author>Maciel, Daniel Andrade,</author>
		<author>Flores Júnior, Rogério,</author>
		<author>Carlos, Felipe Menino,</author>
		<author>Novo, Evlyn Márcia Leão de Moraes,</author>
		<author>Curtarelli, Marcelo Pedroso,</author>
		<author>Silva, Edson Filisbino Freire da,</author>
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		<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>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Green Economy Center</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>victor.curtarelli@gmail.com</electronicmailaddress>
		<electronicmailaddress>claudio.barbosa@inpe.br</electronicmailaddress>
		<electronicmailaddress>daniel.maciel@inpe.br</electronicmailaddress>
		<electronicmailaddress>rogerio.junior@inpe.br</electronicmailaddress>
		<electronicmailaddress>felipe.carlos@inpe.br</electronicmailaddress>
		<electronicmailaddress>evlyn.novo@inpe.br</electronicmailaddress>
		<electronicmailaddress>mei@certi.org.br</electronicmailaddress>
		<electronicmailaddress>edson.freire@inpe.br</electronicmailaddress>
		<journal>Remote Sensing</journal>
		<volume>20</volume>
		<number>17</number>
		<pages>e2828</pages>
		<secondarymark>B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I</secondarymark>
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		<keywords>inland waters, remote sensing of water transparency, downwelling irradiance, diffuse attenuation coefficient, semi-analytical algorithm, empirical algorithm.</keywords>
		<abstract>The diffuse attenuation coefficient of downwelling irradiance (Kd) is an essential parameter for inland waters research by remotely sensing the water transparency. Lately,Kdsemi-analytical algorithms substituted the empirical algorithms widely employed. The purpose of this research was to reparametrize a semi-analytical algorithm to estimateKdand then apply it to a Sentinel-2 MSI time-series (2017-2019) for the Tres Marias reservoir, Brazil. The results for theKdsemi-analytical reparametrization achieved good accuracies, reaching mean absolute percentage errors (MAPE) for bands B2, B3 and B4 (492, 560 and 665 nm), lower than 21% when derived from in-situ remote sensing reflectance (Rrs), while for MSI Data, a derived MAPE of 12% and 38% for B2 and B3, respectively. After the application of the algorithm to Sentinel-2 images time-series, seasonal patterns were observed in the results, showing highKdvalues at 492 nm during the rainy periods, mainly in the tributary mouths, possibly due to an increase in the surface runoff and inflows and outflow rates in the reservoir watershed.</abstract>
		<area>SRE</area>
		<language>en</language>
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