High resolution topographic surveys such as those provided by Structure-from-Motion (SfM)
contain a wealth of information that is not always exploited in the generation of Digital …

The large-scale management of river resources requires an understanding of the spatial
distribution of bed surface grain size. According to Sternberg's law, bed surface grain size at …

Riverbed grain size controls suitability of spawning habitat for threatened fish species.
Motivated by this relationship, we developed a model that uses digital elevation models …

This paper describes and tests a method for the automated extraction of grain-size data from
digital imagery. It combines two basic image processing methods for this purpose: grey …

Accurate and reliable methods for quantifying grain size are important for river science,
management and in various other sedimentological settings. Remote sensing offers …

The time required in the field to characterize textural variation over gravel surfaces can be
reduced by taking vertical photographs for subsequent image analysis. We present modified …

Particle size measurement is dependent upon sampling of river-bed gravels where sample
size, operator bias and surface heterogeneity can greatly affect the accuracy of the result. An …

Textural patches (ie, grain‐size facies) are commonly observed in gravel‐bed channels and
are of significance for both physical and biological processes at subreach scales. We …

In situ measurement of grain‐scale fluvial morphology is important for studies on grain
roughness, sediment transport and the interactions between animals and the …

There is a growing consensus that gravel‐bed roughness should be parameterized based
on bed‐surface topography, not only sediment size. One benefit is the possible identification …