{"refrec":{"BRefID":221391,"RR":"<b>Knaeps, E.; Sterckx, S.; Raymaekers, D.</b> (2010). A seasonally robust empirical algorithm to retrieve suspended sediment concentrations in the Scheldt river. <i>Remote Sens. 2(9)</i>: 2040-2059. <a href=\"http://dx.doi.org/10.3390/rs2092040\" target=\"_blank\">http://dx.doi.org/10.3390/rs2092040</a>","BEntID":213120,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Remote Sens. 2(9)</i>: 2040-2059. <a href=\"http://dx.doi.org/10.3390/rs2092040\" target=\"_blank\">http://dx.doi.org/10.3390/rs2092040</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":1,"BrackishFlag":1,"TerrestrialFlag":0,"Authorstring":"Knaeps, E.; Sterckx, S.; Raymaekers, D.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Knaeps, E. <i>et al.</i>","Englishabstract":"A seasonally robust algorithm for the retrieval of Suspended Particulate Matter (SPM) in the Scheldt River from hyperspectral images is presented. This algorithm can be applied without the need to simultaneously acquire samples (from vessels and pontoons). Especially in dynamic environments such as estuaries, this leads to a large reduction of costs, both in equipment and personnel. The algorithm was established empirically using <i>in situ</i> data of the water-leaving reflectance obtained over the tidal cycle during different seasons and different years. Different bands and band combinations were tested. Strong correlations were obtained for exponential relationships between band ratios and SPM concentration. The best performing relationships are validated using airborne hyperspectral data acquired in June 2005 and October 2007 at different moments in the tidal cycle. 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