The development of indirect bedload flux measurement techniques represents a potential game changer in river science. The possibility of having spatially and temporally detailed estimates of the sediment flux in rivers may indeed largely improve and change our understanding of fluvial processes with implications for flood risk assessment, as well as river restoration schemes and habitat modeling. The lack of accurate sediment transport data is one of the major constraints when addressing a variety of river management problems, including flood defense and river restoration, and at spatial scales from the watershed to the river reach (Wilcock, 2001).Direct bedload measurements are often challenging and costly, and only rarely do they provide acceptably accurate data over large discharge events, which tend to mobilize the highest bedload (Vericat et al., 2006). Moreover, traps and samplers are not designed to capture and take into account the inherent stochastic nature of sediment transport processes (Recking et al., 2010). On the other hand, indirect measurements provide a continuous moni toring of sediment flux, including at high flows. Different techniques have been proposed, aiming at