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Overview of operational global and regional Ocean Colour essential ocean variables within the Copernicus Marine Service. <i>Remote Sens. 16(23)</i>: 4588. <a href=\"https://dx.doi.org/10.3390/rs16234588\" target=\"_blank\">https://dx.doi.org/10.3390/rs16234588</a>","AutID":580819,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":405571,"RR":"<b>Vanhellemont, Q.; Dogliotti, A.; Doxaran, D.; Goyens, C.; Ruddick, K.; Vansteenwegen, D.</b> (2024). Remote sensing of turbid coastal and estuarine waters with VIIRS I (375 m) and M (750 m) bands. <i>Int. J. Remote Sens. 45(24)</i>: 9162-9191. <a href=\"https://dx.doi.org/10.1080/01431161.2024.2407559\" target=\"_blank\">https://dx.doi.org/10.1080/01431161.2024.2407559</a>","AutID":580839,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":367039,"RR":"<b>Hieronymi, M.; Bi, S.; Müller, D.; Schütt, E.M.; Behr, D.; Brockmann, C.; Lebreton, C.; Steinmetz, F.; Stelzer, K.; Vanhellemont, Q.</b> (2023). Ocean color atmospheric correction methods in view of usability for different optical water types. <i>Front. Mar. Sci. 10</i>: 1129876. <a href=\"https://dx.doi.org/10.3389/fmars.2023.1129876\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2023.1129876</a>","AutID":378785,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":391459,"RR":"<b>Hieronymi, M.; Bi, S.; Mueller, D.; Schuett, E.M.; Behr, D.; Brockmann, C.; Lebreton, C.; Steinmetz, F.; Stelzer, K.; Vanhellemont, Q.</b> (2023). 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Ocean colour opportunities from Meteosat Second and Third Generation geostationary platforms. <i>Ocean Sci. 12(3)</i>: 703-713. <a href=\"http://dx.doi.org/10.5194/os-12-703-2016\" target=\"_blank\">dx.doi.org/10.5194/os-12-703-2016</a>","AutID":238133,"MonDate":null,"AnaDate":2016,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":256660,"RR":"<b>Ody, A; Doxaran, D; Vanhellemont, Q.; Nechad, B.; Novoa, S; Many, G; Bourrin, F; Verney, R; Pairaud, I; Gentili, B</b> (2016). Potential of high spatial and temporal ocean color satellite data to study the dynamics of suspended particles in a micro-tidal river plume. <i>Remote Sens. 8(3)</i>: 35 pp. <a href=\"http://dx.doi.org/10.3390/rs8030245\" target=\"_blank\">dx.doi.org/10.3390/rs8030245</a>","AutID":175593,"MonDate":null,"AnaDate":2016,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":285419,"RR":"<b>Yu, J.C.S.; Chou, T.-Y.; Yu, H.-C.; Chen, P.; Vanhellemont, Q.; Fettweis, M.</b> (2016). Surface suspended particulate matter concentration in the Taiwan Strait during summer and winter monsoons. <i>Ocean Dynamics 66(11)</i>: 1517-1527. <a href=\"https://dx.doi.org/10.1007/s10236-016-0992-5\" target=\"_blank\">https://dx.doi.org/10.1007/s10236-016-0992-5</a>","AutID":238133,"MonDate":null,"AnaDate":2016,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":256970,"RR":"<b>Alvera-Azcárate, A.; Vanhellemont, Q.; Ruddick, K.; Barth, A.; Beckers, J.-M.</b> (2015). Analysis of high frequency geostationary ocean colour data using DINEOF. <i>Est., Coast. and Shelf Sci. 159</i>: 28-36. <a href=\"https://dx.doi.org/10.1016/j.ecss.2015.03.026\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecss.2015.03.026</a>","AutID":197651,"MonDate":null,"AnaDate":2015,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":245553,"RR":"<b>Vanhellemont, Q.; Ruddick, K.</b> (2015). Advantages of high quality SWIR bands for ocean colour processing: examples from Landsat-8. <i>Remote Sens. 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