We developed ‘rivabar’, a graph-based Python tool that automatically extracts river centerlines and banklines from time-lapse satellite imagery, and use it to investigate how sediment load drives channel migration patterns and stratigraphic complexity in single-thread and multi-thread rivers.
A Python module that combines SAM and U-Net neural networks to automatically segment and measure grains in diverse geological image types
This introductory chapter reviews the history of research on meandering streams and presents a compilation of data on meander morphology.
Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends …
There has been debate over the processes acting on deep-water channels, with comparisons made to the evolution of meandering fluvial systems. We characterized a three-dimensional seismic-reflection da…
Time-elevation plots and chronostratigraphic diagrams are valuable for understanding and analyzing stratigraphy when time-elevation data, or some approximation of them, are available, for example in f…