Fluvial grain size plays a fundamental role in determining the condition and availability of aquatic habitats. Remote sensing provides rapid and objective methods of quantifying fluvial grain size, and typically provide coarse grain size outputs (c. 1m) at the catchment scale (up to 80km channel lengths) or fine resolution outputs (c. 1mm) at the patch scale (c. 1m2). Recently, drone based approaches have started to fill the gap between these scales, providing hyperspatial resolution data (<10cm) over reaches up to a few hundred metres in length. This ‘mesoscale’ is of importance to habitat assessments and is aligned with the ideals of the ‘Riverscape’ concept. Most drone based grain size measurement approaches use textural variables comput...
A comprehensive understanding of river dynamics requires the grain size distribution of bed sediment...
Fluvial systems offer a challenging and varied environment for topographic survey, displaying a rapi...
The spatial and temporal resolution of surface grain-size characterization is constrained by the lim...
Accurate and reliable methods for quantifying grain size are important for river science, management...
Measurement of riverbed material grain sizes is now a routine part of fieldwork in fluvial geomorpho...
Subaerial particle size data holds a wealth of valuable information for fluvial, coastal, glacial an...
The size and distribution of substrate within fluvial environments plays a fundamental role in the a...
Subaerial particle size data holds a wealth of valuable information for fluvial, coastal, glacial an...
This study develops and assesses two methods for estimating median surface grain sizes using digital...
[Departement_IRSTEA]Eaux [Departement_IRSTEA]Territoires [TR1_IRSTEA]RIVAGE [TR2_IRSTEA]SEDYVINInter...
In recent years, fluvial remote sensing has seen considerable progress in terms of methods capable o...
This paper presents an investigation of image texture approaches for mapping sub-pixel fluvial grain...
High resolution topographic surveys such as those provided by Structure-from-Motion (SfM) contain a ...
A comprehensive understanding of river dynamics requires the grain size distribution of bed sediment...
A comprehensive understanding of river dynamics requires quantitative knowledge of the grain size di...
A comprehensive understanding of river dynamics requires the grain size distribution of bed sediment...
Fluvial systems offer a challenging and varied environment for topographic survey, displaying a rapi...
The spatial and temporal resolution of surface grain-size characterization is constrained by the lim...
Accurate and reliable methods for quantifying grain size are important for river science, management...
Measurement of riverbed material grain sizes is now a routine part of fieldwork in fluvial geomorpho...
Subaerial particle size data holds a wealth of valuable information for fluvial, coastal, glacial an...
The size and distribution of substrate within fluvial environments plays a fundamental role in the a...
Subaerial particle size data holds a wealth of valuable information for fluvial, coastal, glacial an...
This study develops and assesses two methods for estimating median surface grain sizes using digital...
[Departement_IRSTEA]Eaux [Departement_IRSTEA]Territoires [TR1_IRSTEA]RIVAGE [TR2_IRSTEA]SEDYVINInter...
In recent years, fluvial remote sensing has seen considerable progress in terms of methods capable o...
This paper presents an investigation of image texture approaches for mapping sub-pixel fluvial grain...
High resolution topographic surveys such as those provided by Structure-from-Motion (SfM) contain a ...
A comprehensive understanding of river dynamics requires the grain size distribution of bed sediment...
A comprehensive understanding of river dynamics requires quantitative knowledge of the grain size di...
A comprehensive understanding of river dynamics requires the grain size distribution of bed sediment...
Fluvial systems offer a challenging and varied environment for topographic survey, displaying a rapi...
The spatial and temporal resolution of surface grain-size characterization is constrained by the lim...