Articles | Volume 4, issue 2
https://doi.org/10.5194/esurf-4-343-2016
https://doi.org/10.5194/esurf-4-343-2016
Research article
 | 
21 Apr 2016
Research article |  | 21 Apr 2016

Topography-based flow-directional roughness: potential and challenges

Sebastiano Trevisani and Marco Cavalli

Related authors

Is higher resolution always better? Open-access DEM comparison for Slope Units delineation and regional landslide prediction
Mahnoor Ahmed, Giacomo Titti, Sebastiano Trevisani, Lisa Borgatti, and Mirko Francioni
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-211,https://doi.org/10.5194/nhess-2024-211, 2024
Preprint under review for NHESS
Short summary

Related subject area

Cross-cutting themes: Digital Landscapes: Insights into geomorphological processes from high-resolution topography and quantitative interrogation of topographic data
Geomorphic indicators of continental-scale landscape transience in the Hengduan Mountains, SE Tibet, China
Katrina D. Gelwick, Sean D. Willett, and Rong Yang
Earth Surf. Dynam., 12, 783–800, https://doi.org/10.5194/esurf-12-783-2024,https://doi.org/10.5194/esurf-12-783-2024, 2024
Short summary
Evaluating the accuracy of binary classifiers for geomorphic applications
Matthew William Rossi
Earth Surf. Dynam., 12, 765–782, https://doi.org/10.5194/esurf-12-765-2024,https://doi.org/10.5194/esurf-12-765-2024, 2024
Short summary
Massive sediment pulses triggered by a multi-stage 130 000 m3 alpine cliff fall (Hochvogel, DE–AT)
Natalie Barbosa, Johannes Leinauer, Juilson Jubanski, Michael Dietze, Ulrich Münzer, Florian Siegert, and Michael Krautblatter
Earth Surf. Dynam., 12, 249–269, https://doi.org/10.5194/esurf-12-249-2024,https://doi.org/10.5194/esurf-12-249-2024, 2024
Short summary
Multi-sensor monitoring and data integration reveal cyclical destabilization of the Äußeres Hochebenkar rock glacier
Lea Hartl, Thomas Zieher, Magnus Bremer, Martin Stocker-Waldhuber, Vivien Zahs, Bernhard Höfle, Christoph Klug, and Alessandro Cicoira
Earth Surf. Dynam., 11, 117–147, https://doi.org/10.5194/esurf-11-117-2023,https://doi.org/10.5194/esurf-11-117-2023, 2023
Short summary
Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3D point clouds
Philippe Steer, Laure Guerit, Dimitri Lague, Alain Crave, and Aurélie Gourdon
Earth Surf. Dynam., 10, 1211–1232, https://doi.org/10.5194/esurf-10-1211-2022,https://doi.org/10.5194/esurf-10-1211-2022, 2022
Short summary

Cited articles

Atkinson, P. M. and Lewis, P.: Geostatistical classification for remote sensing: an introduction, Comput. Geosci., 26, 361–371, 2000.
Balaguer, A., Ruiz, L. A., Hermosilla, T., and Recio, J. A.: Definition of a Comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification, Comput. Geosci., 36, 231–240, 2010.
Benito-Calvo, A., Pérez-González, A., Magri, O., and Meza, P.: Assessing regional geodiversity: The Iberian Peninsula, Earth Surf. Proc. Land., 34, 1433–1445, 2009.
Berti, M., Corsini, A., and Daehne, A.: Comparative analysis of surface roughness algorithms for the identification of active landslides, Geomorphology, 182, 1–18, 2013.
Booth, A. M., Roering J. J., and Perron, J. T.: Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon. Geomorphology, 109, 132–147, 2009.
Download
Short summary
The generalization of the concept of roughness implies the need to refer to a family of roughness indices capturing specific aspects of surface morphology. We test the application of a flow-oriented directional measure of roughness based on the geostatistical index MAD (median of absolute directional differences), computed considering gravity-driven flow direction. The use of flow-directional roughness improves geomorphometric modeling and the interpretation of landscape morphology.