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Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/soil-11-413-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-11-413-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Original research article
 | Highlight paper
 | 
12 Jun 2025
Original research article | Highlight paper |  | 12 Jun 2025

Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water

Anette Eltner, David Favis-Mortlock, Oliver Grothum, Martin Neumann, Tomáš Laburda, and Petr Kavka

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Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S. E., and Höfle, B.: Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes, ISPRS J. Photogramm., 173, 297–308, https://doi.org/10.1016/j.isprsjprs.2021.01.015, 2021. 
Baartman, J. E. M., Nunes, J. P., Masselink, R., Darboux, F., Bielders, C., Degré, A., Cantreul, V., Cerdan, O., Grangeon, T., Fiener, P., Wilken, F., Schindewolf, M., and Wainwright, J.: What do models tell us about water and sediment connectivity?, Geomorphology, 367, 107300, https://doi.org/10/gg5phb, 2020. 
Batista, P. V. G., Davies, J., Silva, M. L. N., and Quinton, J. N.: On the evaluation of soil erosion models: Are we doing enough?, Earth Sci. Rev., 197, 102898, https://doi.org/10.1016/j.earscirev.2019.102898, 2019. 
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Blanch, X., Guinau, M., Eltner, A., and Abellan, A.: A cost-effective image-based system for 3D geomorphic monitoring: An application to rockfalls, Geomorphology, 449, 109065, https://doi.org/10.1016/j.geomorph.2024.109065, 2024. 
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Executive editor
Annette Eltner et al. presented a very insightful and innovative study, which is exactly what is needed in erosion modelling. The high quality of the manuscript was underlined by both anonymous reviewers who were quite enthusiastic about it. Overall, it is a manuscript worth reading for new ideas in erosion modelling.
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Short summary
This study develops a new method to improve the calibration and evaluation of models that predict soil erosion by water. By using advanced imaging techniques, we can capture detailed changes in the soil surface over time. This helps improve models that forecast erosion, especially as climate change creates new and unpredictable conditions. Our findings highlight the need for more precise tools to better model erosion of our land and environment in the future.
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