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dc.contributor.authorSoriano-González, Jesús
dc.contributor.authorUrrego, Esther Patricia
dc.contributor.authorSòria-Perpinyà, Xavier
dc.contributor.authorAngelats, Eduard
dc.contributor.authorAlcaraz, Carles
dc.contributor.authorDelegido, Jesús
dc.contributor.authorRuiz-Verdú, Antonio
dc.contributor.authorTenjo, Carolina
dc.contributor.authorVicente, Eduardo
dc.contributor.authorMoreno, José
dc.contributor.otherProducció Animalca
dc.date.accessioned2022-03-25T11:59:38Z
dc.date.available2022-03-25T11:59:38Z
dc.date.issued2022-02-24
dc.identifier.citationSoriano-González, Jesús, Esther Patricia Urrego, Xavier Sòria-Perpinyà, Eduard Angelats, Carles Alcaraz, Jesús Delegido, Antonio Ruíz-Verdú, Carolina Tenjo, Eduardo Vicente, and José Moreno. 2022. "Towards The Combination Of C2RCC Processors For Improving Water Quality Retrieval In Inland And Coastal Areas". Remote Sensing 14 (5): 1124. doi:10.3390/rs14051124.ca
dc.identifier.issn2072-4292ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/1691
dc.description.abstractSentinel-2 offers great potential for monitoring water quality in inland and coastal waters. However, atmospheric correction in these waters is challenging, and there is no standardized approach yet, but different methods coexist under constant development. The atmospheric correction Case 2 Regional Coast Colour (C2RCC) processor has been recently updated with the C2X-COMPLEX (C2XC). This study is one of the first attempts at exploring its performance, in comparison with C2RCC and C2X, in inland and coastal waters in the east of the Iberian Peninsula, in retrieving water surface reflectance and estimating chlorophyll-a ([Chl-a]), total suspended matter ([TSM]), and Secchi disk depth (ZSD). The relationship between in situ ZSD and Kd_z90max product (i.e., the depth of the water column from which 90% of the water-leaving irradiance is derived) of the C2RCC processors demonstrated the potential of this product for estimating water clarity (r > 0.75). However, [TSM] and [Chl-a] derived from the different processors with default calibration factors were not suitable within the targeted scenarios, requiring recalibration based on optical water types or a shift to dynamic algorithm blending approaches. This would benefit from switching between C2RCC and C2XC, which extends the potential for improving surface reflectance estimates to a wide range of scenarios and suggests a promising future for C2-Nets in operational monitoring of water quality.ca
dc.format.extent24ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofRemote Sensingca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleTowards the Combination of C2RCC Processors for Improving Water Quality Retrieval in Inland and Coastal Areasca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDMICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-098651-B-C51/ES/PRODUCTOS AVANZADOS L3 Y L4 PARA LA MISION FLEX-S3/FLEX L3L4ca
dc.subject.udc574ca
dc.identifier.doihttps://doi.org/10.3390/rs14051124ca
dc.contributor.groupAigües Marines i Continentalsca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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