{"refrec":{"BRefID":321096,"RR":"<b>Arabi, B.; Salama, M.S.; Pitarch, J.; Verhoef, W.</b> (2020). Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas. <i>Remote Sens. Environ. 239</i>: 111632. <a href=\"https://dx.doi.org/10.1016/j.rse.2020.111632\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2020.111632</a>","BEntID":314535,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Remote Sens. Environ. 239</i>: 111632. <a href=\"https://dx.doi.org/10.1016/j.rse.2020.111632\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2020.111632</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Arabi, B.; Salama, M.S.; Pitarch, J.; Verhoef, W.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Arabi, B. <i>et al.</i>","Englishabstract":"Recently, there have been significant efforts in the integration of in-situ and satellite observations for effective monitoring of coastal areas (<i>e.g.</i>, the Copernicus program of the European Space Agency). In this study, a 15-year diurnal variation of Water Constituent Concentrations (WCCs) was retrieved from multi-sensor satellite images and in-situ hyperspectral measurements using Radiative Transfer (RT) modeling in the Dutch Wadden Sea. The existing RT model 2SeaColor was inverted against time series of in-situ hyperspectral measurements of water leaving reflectances (Rrs [sr<sup>−1</sup>]) for the simultaneous retrieval of WCCs (i.e., Chlorophyll-a (Chla), Suspended Particulate Matter (SPM), Dissolved Organic Matter (CDOM)) on a daily basis between 2003 and 2018 at the NIOZ jetty station (the NJS) located in the Dutch part of the Wadden Sea. At the same time, the existing coupled atmosphere-hydro-optical RT model MOD2SEA was used for the simultaneous retrieval of WCCs from time series of multi-sensor satellite images of the MEdium Resolution Imaging Spectrometer (MERIS) onboard ENVISAT, Multispectral Instrument (MSI) onboard Sentinel-2 and Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3 between 2003 and 2018 over the Dutch Wadden Sea. At the NJS, a direct comparison (Taylor diagram and statistical analysis) showed strong agreement between in-situ and satellite-derived WCC values (Chla: R<SUP>2</SUP> ≥ 0.70, RMSE ≤7.5 [mg m<sup>−3</sup>]; SPM: R<SUP>2</SUP> ≥ 0.72, RMSE ≤5.5 [g m<sup>−3</sup>]; CDOM absorption at 440 nm: R<SUP>2</SUP> ≥ 0.67, RMSE ≤1.7 [m<sup>−1</sup>]). Next, the plausibility of the spatial variation of retrieved WCCs over the study area was evaluated by generating maps of Chla [mg m<sup>−3</sup>], SPM [g m<sup>−3</sup>], and CDOM absorption at 440 nm [m<sup>−1</sup>] from MERIS and OLCI images using the MOD2SEA model. The integration of the spatio-temporal WCC data obtained from in-situ measurements and satellite images in this study finds applications for the detection of anomaly events and serves as a warning for management actions in the complex coastal waters of the Wadden Sea.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Long-term water quality monitoring; Remote sensing; Integration; Multi-sensor satellites; In-situ measurements; Hyperspectral observations; MERIS; MSI; OLCI; ENVISAT; Sentinel-2; Sentinel-3; 2SeaColor; MODTRAN; Radiative Transfer modeling; Coastal waters; The Wadden Sea","OtherDescriptors":null,"Notes":null,"AnaPub":2020,"MonPub":null,"DateUpdate":"2020-01-21","DateCreate":"2020-01-21","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000518694400040","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.rse.2020.111632"},"refs":null,"anarec":{"AnaID":321096,"PubliDate":2020,"Pagination":"111632","XtraPublOfAnaID":null,"ISBN":null,"Volume":"239","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43865,"SerRR":"Remote Sensing of Environment. 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