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VITO/MUMM/Department of Systems Ecology, Stockholm University/Université du Littoral Côte d’Opale: Mol, Brussel, Stockholm and Wimereux.  1 poster pp.","DocTypID":18,"DocType":"Ephemera","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Sterckx, Sindy; Knaeps, E.; Santer, R.; Kratzer, S.; Ruddick, K.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Sterckx, Sindy <i>et al.</i>","Englishabstract":"With its relatively high spatial resolution coupled with a revisit time of 5 days Sentinel-2 offers the opportunity to monitor small inland water bodies, estuaries and coastal waters in order to support the European Water framework directive which forms the legislative framework for the water management undertaken by the EU Member States. In order to retrieve water quality information a proper atmospheric correction is essential. High contrasting land-water scenes (e.g. water body surrounded by vegetation) complicates this atmospheric correction. Light reflected from the nearby land can be forward scattered by the atmosphere into the sensor field of view. This causes a “blurring“ of the signal and the effect is known variously as the adjacency, background or environment effect and reduces the apparent spatial resolution and modifies the spectral signature of the observed pixel. Here, we will present the results of an ongoing comparison analysis of two environment correction approaches, ICOL and SIMEC, applied to two MERIS match-up datasets, lake Pålgrunden and the North Sea.  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