Articles | Volume 5, issue 3
https://doi.org/10.5194/esurf-5-347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-5-347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jul 2017
Research article |
| 06 Jul 2017
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring
Robert R. Wells
National Sedimentation Laboratory, Agricultural Research Service, United
States Department of Agriculture, Oxford, Mississippi 38655, USA
Department of Geosciences, Middle Tennessee State University, Murfreesboro,
Tennessee 37132, USA
Carlos Castillo
Department of Rural Engineering, University of Córdoba, Córdoba,
Spain
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Cited
20 citations as recorded by crossref.
- Disaggregating soil erosion processes within an evolving experimental landscape H. Momm et al. https://doi.org/10.1002/esp.4268
- Quantifying the spatial distribution of sediment transport in an experimental gully system using the morphological method W. Dai et al. https://doi.org/10.1002/esp.5094
- Achieving change through gully erosion research S. Wilkinson et al. https://doi.org/10.1002/esp.5575
- Photogrammetric analysis tools for channel widening quantification under laboratory conditions C. Qin et al. https://doi.org/10.1016/j.still.2019.04.002
- Assessing the Accuracy and Feasibility of Using Close-Range Photogrammetry to Measure Channelized Erosion with a Consumer-Grade Camera F. Zheng et al. https://doi.org/10.3390/rs12111706
- Intra-gully mapping of the largest documented gully network in South Africa using UAV photogrammetry: Implications for restoration strategies J. le Roux et al. https://doi.org/10.1177/03091333221101057
- Comparison of terrestrial lidar, SfM, and MBES resolution and accuracy for geomorphic analyses in physical systems that experience subaerial and subaqueous conditions T. Rowley et al. https://doi.org/10.1016/j.geomorph.2020.107056
- Physically based numerical model for the landscape evolution of soil-mantled watersheds driven by rainfall and overland flow Y. Jia et al. https://doi.org/10.1016/j.jhydrol.2023.129419
- Hydrogeomorphic processes affecting dryland gully erosion: Implications for modelling R. Sidle et al. https://doi.org/10.1177/0309133318819403
- Three decades of ephemeral gully erosion studies G. Liu et al. https://doi.org/10.1016/j.still.2021.105046
- Laboratory channel widening quantification using deep learning Z. Wang et al. https://doi.org/10.1016/j.geoderma.2024.117034
- Applicability of 3D laser scanning and close-range photogrammetry for geotechnical laboratory tests A. Basha et al. https://doi.org/10.1186/s40703-025-00244-6
- Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV X. Han et al. https://doi.org/10.3390/s19132852
- A GIS focal approach for characterizing gully geometry C. Castillo et al. https://doi.org/10.1002/esp.5122
- Applying a Hand-Held Laser Scanner to Monitoring Gully Erosion: Workflow and Evaluation A. Kinsey-Henderson et al. https://doi.org/10.3390/rs13194004
- Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment J. Koci et al. https://doi.org/10.3390/ijgi6110328
- The Optimal Lid Method for the objective definition of cross-section limits in ephemeral gullies C. Castillo et al. https://doi.org/10.1016/j.catena.2019.01.032
- Gully erosion processes, disciplinary fragmentation, and technological innovation S. Bennett & R. Wells https://doi.org/10.1002/esp.4522
- Metrics of soil degradation by recent filling of permanent gullies: a study case on annual rainfed crops at the Campiña landscape (Spain) C. Castillo et al. https://doi.org/10.1007/s11119-025-10312-7
- Grid order prediction of ephemeral gully head cut position: Regional scale application C. Wang et al. https://doi.org/10.1016/j.catena.2021.105158
20 citations as recorded by crossref.
- Disaggregating soil erosion processes within an evolving experimental landscape H. Momm et al. https://doi.org/10.1002/esp.4268
- Quantifying the spatial distribution of sediment transport in an experimental gully system using the morphological method W. Dai et al. https://doi.org/10.1002/esp.5094
- Achieving change through gully erosion research S. Wilkinson et al. https://doi.org/10.1002/esp.5575
- Photogrammetric analysis tools for channel widening quantification under laboratory conditions C. Qin et al. https://doi.org/10.1016/j.still.2019.04.002
- Assessing the Accuracy and Feasibility of Using Close-Range Photogrammetry to Measure Channelized Erosion with a Consumer-Grade Camera F. Zheng et al. https://doi.org/10.3390/rs12111706
- Intra-gully mapping of the largest documented gully network in South Africa using UAV photogrammetry: Implications for restoration strategies J. le Roux et al. https://doi.org/10.1177/03091333221101057
- Comparison of terrestrial lidar, SfM, and MBES resolution and accuracy for geomorphic analyses in physical systems that experience subaerial and subaqueous conditions T. Rowley et al. https://doi.org/10.1016/j.geomorph.2020.107056
- Physically based numerical model for the landscape evolution of soil-mantled watersheds driven by rainfall and overland flow Y. Jia et al. https://doi.org/10.1016/j.jhydrol.2023.129419
- Hydrogeomorphic processes affecting dryland gully erosion: Implications for modelling R. Sidle et al. https://doi.org/10.1177/0309133318819403
- Three decades of ephemeral gully erosion studies G. Liu et al. https://doi.org/10.1016/j.still.2021.105046
- Laboratory channel widening quantification using deep learning Z. Wang et al. https://doi.org/10.1016/j.geoderma.2024.117034
- Applicability of 3D laser scanning and close-range photogrammetry for geotechnical laboratory tests A. Basha et al. https://doi.org/10.1186/s40703-025-00244-6
- Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV X. Han et al. https://doi.org/10.3390/s19132852
- A GIS focal approach for characterizing gully geometry C. Castillo et al. https://doi.org/10.1002/esp.5122
- Applying a Hand-Held Laser Scanner to Monitoring Gully Erosion: Workflow and Evaluation A. Kinsey-Henderson et al. https://doi.org/10.3390/rs13194004
- Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment J. Koci et al. https://doi.org/10.3390/ijgi6110328
- The Optimal Lid Method for the objective definition of cross-section limits in ephemeral gullies C. Castillo et al. https://doi.org/10.1016/j.catena.2019.01.032
- Gully erosion processes, disciplinary fragmentation, and technological innovation S. Bennett & R. Wells https://doi.org/10.1002/esp.4522
- Metrics of soil degradation by recent filling of permanent gullies: a study case on annual rainfed crops at the Campiña landscape (Spain) C. Castillo et al. https://doi.org/10.1007/s11119-025-10312-7
- Grid order prediction of ephemeral gully head cut position: Regional scale application C. Wang et al. https://doi.org/10.1016/j.catena.2021.105158
Saved (final revised paper)
Latest update: 15 Jul 2026
Short summary
As technology presents a gateway to finer-resolution survey information, caution must be exercised in the evaluation of alignment error and subsequent morphological determinations. Three survey technologies were evaluated: ground-based photogrammetry, unmanned aerial vehicle photogrammetry, and ground-based lidar. Initial project planning necessitates the effective use of ground control to facilitate alignment and proper morphological conclusions.
As technology presents a gateway to finer-resolution survey information, caution must be...
