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.
Research article
| 
08 Aug 2016
Research article |
| 08 Aug 2016
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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45 citations as recorded by crossref.
- Controls on Zero‐Order Basin Morphology S. Grieve et al. 10.1029/2017JF004453
- Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses S. Crema et al. 10.1002/esp.4739
- Morphometric analysis of the channel heads based on different LiDAR resolutions E. Płaczkowska et al. 10.1016/j.geomorph.2020.107546
- Determining the optimal grid resolution for topographic analysis on an airborne lidar dataset T. Smith et al. 10.5194/esurf-7-475-2019
- Hillslope denudation and morphologic response to a rock uplift gradient V. Godard et al. 10.5194/esurf-8-221-2020
- Identifying Geomorphic Process Domains in the Synthetic Landscapes of West Virginia, USA K. Jaeger & M. Ross 10.1029/2020JF005851
- PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications M. Miltiadou et al. 10.1016/j.envsoft.2025.106395
- Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau B. Purinton & B. Bookhagen 10.5194/esurf-5-211-2017
- Hilltop curvature as a proxy for erosion rate: wavelets enable rapid computation and reveal systematic underestimation W. Struble & J. Roering 10.5194/esurf-9-1279-2021
- 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
- Effects of gradient, distance, curvature and aspect on steep burned and unburned hillslope soil erosion and deposition L. Perreault et al. 10.1002/esp.4067
- Spatio-Temporal Mapping of Plate Boundary Faults in California Using Geodetic Imaging A. Donnellan et al. 10.3390/geosciences7010015
- Detecting the Morphology of Prograding and Retreating Marsh Margins—Example of a Mega-Tidal Bay G. Goodwin & S. Mudd 10.3390/rs12010013
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. 10.5194/gmd-17-71-2024
- 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
- Regional-scale, high-resolution measurements of hilltop curvature reveal tectonic, climatic, and lithologic controls on hillslope morphology W. Struble et al. 10.1016/j.epsl.2024.119044
- Tan DEM‐X Preserves the Relationship Between Hilltop Curvature and Erosion Rate in the Qilian Shan Y. Zhang et al. 10.1029/2023JF007118
- 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
- Drainage patterns in the Sudetes Mountains (Central Europe) – A clue to understanding polygenetic relief? P. Migoń et al. 10.1016/j.geomorph.2025.109637
- Quantitative analysis of hillshed geomorphology and critical zone function: Raising the hillshed to watershed status Z. Brecheisen et al. 10.1130/B35724.1
- A segmentation approach for the reproducible extraction and quantification of knickpoints from river long profiles B. Gailleton et al. 10.5194/esurf-7-211-2019
- 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
- Geomorphometric delineation of floodplains and terraces from objectively defined topographic thresholds F. Clubb et al. 10.5194/esurf-5-369-2017
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Discussed (final revised paper)
Latest update: 02 Apr 2025
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...
