Articles | Volume 11, issue 6
https://doi.org/10.5194/esurf-11-1223-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-11-1223-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2023
Research article |
| 05 Dec 2023
| 05 Dec 2023
Using repeat UAV-based laser scanning and multispectral imagery to explore eco-geomorphic feedbacks along a river corridor
Christopher Tomsett
CORRESPONDING AUTHOR
School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK
Julian Leyland
School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK
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Gustavo W. Nagel, Stephen Darby, Julian Leyland, and Eli D. Lazarus
EGUsphere, https://doi.org/10.5194/egusphere-2026-4621, https://doi.org/10.5194/egusphere-2026-4621, 2026
This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
Short summary
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Who leads the dance of meandering rivers? To answer this question, we analyzed almost four decades of satellite observations from 4,923 river bends worldwide. We found that rivers can begin to change through either erosion or sediment deposition, with each mechanism being associated with different environmental conditions. These findings improve our understanding of how rivers evolve and help predict future river change.
Solomon H. Gebrechorkos, Julian Leyland, Simon J. Dadson, Sagy Cohen, Louise Slater, Michel Wortmann, Philip J. Ashworth, Georgina L. Bennett, Richard Boothroyd, Hannah Cloke, Pauline Delorme, Helen Griffith, Richard Hardy, Laurence Hawker, Stuart McLelland, Jeffrey Neal, Andrew Nicholas, Andrew J. Tatem, Ellie Vahidi, Yinxue Liu, Justin Sheffield, Daniel R. Parsons, and Stephen E. Darby
Hydrol. Earth Syst. Sci., 28, 3099–3118, https://doi.org/10.5194/hess-28-3099-2024, https://doi.org/10.5194/hess-28-3099-2024, 2024
Short summary
Short summary
This study evaluated six high-resolution global precipitation datasets for hydrological modelling. MSWEP and ERA5 showed better performance, but spatial variability was high. The findings highlight the importance of careful dataset selection for river discharge modelling due to the lack of a universally superior dataset. Further improvements in global precipitation data products are needed.
Andrea Gasparotto, Stephen E. Darby, Julian Leyland, and Paul A. Carling
Earth Surf. Dynam., 11, 343–361, https://doi.org/10.5194/esurf-11-343-2023, https://doi.org/10.5194/esurf-11-343-2023, 2023
Short summary
Short summary
In this study the processes leading to bank failures in the hypertidal Severn Estuary are studied employing numerical models and field observations. Results highlight that the periodic fluctuations in water levels drive an imbalance in the resisting (hydrostatic pressure) versus driving (pore water pressure) forces causing a frequent oscillation of bank stability between stable (at high tide) and unstable states (at low tide) both on semidiurnal bases and in the spring–neap transition.
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Short summary
Vegetation influences how rivers change through time, yet the way in which we analyse vegetation is limited. Current methods collect detailed data at the individual plant level or determine dominant vegetation types across larger areas. Herein, we use UAVs to collect detailed vegetation datasets for a 1 km length of river and link vegetation properties to channel evolution occurring within the study site, providing a new method for investigating the influence of vegetation on river systems.
Vegetation influences how rivers change through time, yet the way in which we analyse vegetation...
