{"refrec":{"BRefID":407775,"RR":"<b>Alvera-Azcárate, A.; Van der Zande, D.; Barth, A.; Dille, A.; Massant, J.; Beckers, J.-M.</b> (2025). Generation of super-resolution gap-free ocean colour satellite products using data-interpolating empirical orthogonal functions (DINEOF). <i>Ocean Sci. 21(2)</i>: 787-805. <a href=\"https://dx.doi.org/10.5194/os-21-787-2025\" target=\"_blank\">https://dx.doi.org/10.5194/os-21-787-2025</a>","BEntID":405576,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Ocean Sci. 21(2)</i>: 787-805. <a href=\"https://dx.doi.org/10.5194/os-21-787-2025\" target=\"_blank\">https://dx.doi.org/10.5194/os-21-787-2025</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Alvera-Azcárate, A.; Van der Zande, D.; Barth, A.; Dille, A.; Massant, J.; Beckers, J.-M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Alvera-Azcárate, A. <i>et al.</i>","Englishabstract":"In this work we present a super-resolution approach for deriving high-spatial-resolution and high-temporal-resolution ocean colour satellite datasets. The technique is based on DINEOF (data-interpolating empirical orthogonal functions), a data-driven method that uses the spatio-temporal coherence of analysed datasets to infer missing information. DINEOF is used here to effectively increase the spatial resolution of satellite data and is applied to a combination of Sentinel-2 and Sentinel-3 datasets. The results show that DINEOF is able to infer the spatial variability observed in the Sentinel-2 data to the Sentinel-3 data while reconstructing missing information due to clouds and reducing the amount of noise in the initial dataset. In order to achieve this, the Sentinel-2 and Sentinel-3 datasets have undergone the same pre-processing, including a comprehensive, region-independent, and pixel-based automatic switching scheme for choosing the most appropriate atmospheric correction and ocean colour algorithm to derive in-water products. The super-resolution DINEOF has been applied to two different variables (turbidity and chlorophyll) and two different domains (Belgian coastal zone and the whole of the North Sea), and the sub-mesoscale variability of the turbidity along the Belgian coastal zone has been studied.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Generation of super-resolution gap-free ocean colour satellite products using data-interpolating empirical orthogonal functions (DINEOF)","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-19 01:32:29.565848","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"SEA-SURFACE TEMPERATURE;SOUTHERN NORTH-SEA;TURBIDITY;RECONSTRUCTION;COASTAL;VALIDATION;IMPACT;IMAGES","OtherDescriptors":null,"Notes":null,"AnaPub":2025,"MonPub":null,"DateUpdate":"2025-09-18","DateCreate":"2025-04-29","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:001467688000001","VABBcode":null,"OpenAcc":1,"DOI":"10.5194/os-21-787-2025"},"refs":null,"anarec":{"AnaID":407775,"PubliDate":2025,"Pagination":"787-805","XtraPublOfAnaID":null,"ISBN":null,"Volume":"21","Issue":"2","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":105415,"SerRR":"Ocean Science. 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