Articles | Volume 13, issue 3
https://doi.org/10.5194/esurf-13-417-2025
https://doi.org/10.5194/esurf-13-417-2025
Short communication
 | 
03 Jun 2025
Short communication |  | 03 Jun 2025

Short communication: Multiscale topographic complexity analysis with pyTopoComplexity

Larry Syu-Heng Lai, Adam M. Booth, Alison R. Duvall, and Erich Herzig

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Cited articles

Barnhart, K. R., Glade, R. C., Shobe, C. M., and Tucker, G. E.: Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution, Geosci. Model Dev., 12, 1267–1297, https://doi.org/10.5194/gmd-12-1267-2019, 2019. 
Barnhart, K. R., Hutton, E. W. H., Tucker, G. E., Gasparini, N. M., Istanbulluoglu, E., Hobley, D. E. J., Lyons, N. J., Mouchene, M., Nudurupati, S. S., Adams, J. M., and Bandaragoda, C.: Short communication: Landlab v2.0: a software package for Earth surface dynamics, Earth Surf. Dynam., 8, 379–397, https://doi.org/10.5194/esurf-8-379-2020, 2020. 
Benham, D. D.: Rugosity_calculator, GitHub Repository [code], https://github.com/drk944/Rugosity_Calculator (last access: 16 October 2024), 2022. 
Berti, M., Corsini, A., and Daehne, A.: Comparative analysis of surface roughness algorithms for the identification of active landslides, Geomorphology, 182, 1–18, https://doi.org/10.1016/j.geomorph.2012.10.022, 2013. 
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Short summary
pyTopoComplexity is an open-source Python tool for multiscale land surface complexity analysis. Applied to a landslide-affected area in Washington, USA, it accurately identified landform features at various scales, enhancing our understanding of landform recovery after disturbances. By integrating with Landlab’s landscape evolution simulations, the software allows researchers to explore how different processes drive the evolution of surface complexity in response to natural forces.
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