Articles | Volume 4, issue 3
https://doi.org/10.5194/esurf-4-627-2016
© Author(s) 2016. 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-4-627-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
How does grid-resolution modulate the topographic expression of geomorphic processes?
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
Simon M. Mudd
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
David T. Milodowski
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
Fiona J. Clubb
School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
David J. Furbish
Department of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN, USA
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- Aridity is expressed in river topography globally S. Chen et al. 10.1038/s41586-019-1558-8
- Generation of realistic synthetic catchments to explore fine continental surface processes R. Bunel et al. 10.1002/esp.5048
- Image Texture as Quality Indicator for Optical DEM Generation: Geomorphic Applications in the Arid Central Andes B. Purinton et al. 10.3390/rs15010085
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- Detecting the Morphology of Prograding and Retreating Marsh Margins—Example of a Mega-Tidal Bay G. Goodwin & S. Mudd 10.3390/rs12010013
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- Supervised classification of landforms in Arctic mountains H. Mithan et al. 10.1002/ppp.2015
- Detection of channel-hillslope coupling along a tectonic gradient M. Hurst et al. 10.1016/j.epsl.2019.06.018
- Evaluation of DEM size and grid spacing for fluvial patch-scale roughness parameterisation J. Groom et al. 10.1016/j.geomorph.2018.08.017
- Clustering River Profiles to Classify Geomorphic Domains F. Clubb et al. 10.1029/2019JF005025
- A Relief Dependent Evaluation of Digital Elevation Models on Different Scales for Northern Chile T. Kramm & D. Hoffmeister 10.3390/ijgi8100430
- A hybrid mechanism for the initiation and expansion of loess caves across the Chinese Loess Plateau H. Geng et al. 10.1002/ldr.4686
- A universal approach for drainage basins E. Oliveira et al. 10.1038/s41598-019-46165-0
- Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward G. Sofia 10.1016/j.geomorph.2020.107055
- A performance comparison of SRTM v. 3.0, AW3D30, ASTER GDEM3, Copernicus and TanDEM-X for tectonogeomorphic analysis in the South American Andes M. del Rosario González-Moradas et al. 10.1016/j.catena.2023.107160
- Evaluation of high‐resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm A. Atwood & A. West 10.1002/esp.5263
- Rangeland hillslope lengths: A case study at the Walnut Gulch Experimental Watershed, southeastern Arizona L. Li et al. 10.1016/j.iswcr.2022.02.004
- Requirements for a global lidar system: spaceborne lidar with wall-to-wall coverage S. Hancock et al. 10.1098/rsos.211166
- Characteristic of mass movement in Riam Kanan watershed, Indonesia D. Arisanty et al. 10.1088/1755-1315/1089/1/012001
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- A Robust Channel Head Extraction Method Based on High‐Resolution Topographic Convergence, Suitable for Both Slowly and Fastly Eroding Landscapes A. Lurin et al. 10.1029/2022JF006999
- Quantitative analysis of hillshed geomorphology and critical zone function: Raising the hillshed to watershed status Z. Brecheisen et al. 10.1130/B35724.1
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- Topographic Characteristics of Drainage Divides at the Mountain-Range Scale—A Review of DTM-Based Analytical Tools K. Jancewicz et al. 10.3390/ijgi11020116
- Extracting an accurate river network: Stream burning re-revisited Q. Chen et al. 10.1016/j.rse.2024.114333
- Investigation of the use of topographic data derived from Pléiades imagery for high-resolution hillslope-scale morphometry V. Pellegrino et al. 10.1016/j.geomorph.2024.109162
- Unsupervised detection of salt marsh platforms: a topographic method G. Goodwin et al. 10.5194/esurf-6-239-2018
- Beyond Vertical Point Accuracy: Assessing Inter-pixel Consistency in 30 m Global DEMs for the Arid Central Andes B. Purinton & B. Bookhagen 10.3389/feart.2021.758606
- Differences in channel and hillslope geometry record a migrating uplift wave at the Mendocino triple junction, California, USA F. Clubb et al. 10.1130/G46939.1
- Multiresolution analysis of characteristic length scales with high‐resolution topographic data H. Sangireddy et al. 10.1002/2015JF003788
- Dynamic flood topographies in the Terai region of Nepal E. Dingle et al. 10.1002/esp.4953
- Growth diffusion-limited aggregation for basin fractal river network evolution model S. Wang et al. 10.1063/5.0011624
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Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
High-resolution topographic data are becoming more prevalent, yet many areas of geomorphic interest do not have such data available. We produce topographic data at a range of resolutions to explore the influence of decreasing resolution of data on geomorphic analysis. We test the accuracy of the calculation of curvature, a hillslope sediment transport coefficient, and the identification of channel networks, providing guidelines for future use of these methods on low-resolution topographic data.
High-resolution topographic data are becoming more prevalent, yet many areas of geomorphic...