Articles | Volume 11, issue 1
https://doi.org/10.5194/soil-11-413-2025
https://doi.org/10.5194/soil-11-413-2025
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

Related authors

Near-continuous observation of soil surface changes at single slopes with high spatial resolution via an automated SfM photogrammetric mapping approach
Oliver Grothum, Lea Epple, Anne Bienert, Xabier Blanch, and Anette Eltner
EGUsphere, https://doi.org/10.5194/egusphere-2025-2291,https://doi.org/10.5194/egusphere-2025-2291, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary
AI Image-based method for a robust automatic real-time water level monitoring: A long-term application case
Xabier Blanch, Jens Grundmann, Ralf Hedel, and Anette Eltner
EGUsphere, https://doi.org/10.5194/egusphere-2025-724,https://doi.org/10.5194/egusphere-2025-724, 2025
Short summary
Low-Cost sensors for measuring wadi discharge - a Raspberry Pi based seismometer and time-lapse camera setup
Robert Krüger, Xabier Blanch, Jens Grundmann, Ghazi Al-Rawas, and Anette Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 243–250, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-243-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-243-2024, 2024
Synergistic image and point cloud processing of UAV data for urban flood modeling: point cloud smart thinning and curb mapping
Pedro Alberto Pereira Zamboni, Hanne Hendrickx, Dennis Sprute, Holger Flatt, Muhtasimul Islam Rushdi, Florian Brodrecht, and Anette Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 483–490, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-483-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-483-2024, 2024
AI-Based Tracking of Fast-Moving Alpine Landforms Using High Frequency Monoscopic Time-Lapse Imagery
Hanne Hendrickx, Xabier Blanch, Melanie Elias, Reynald Delaloye, and Anette Eltner
EGUsphere, https://doi.org/10.5194/egusphere-2024-2570,https://doi.org/10.5194/egusphere-2024-2570, 2024
Short summary

Related subject area

Soil degradation
Status and influential factors of soil nutrients and acidification in Chinese tea plantations: a meta-analysis
Dan Wang, Benjuan Liu, Fei Li, Zhihui Wang, Jianfeng Hou, Rui Cao, Yuqian Zheng, and Wanqin Yang
SOIL, 11, 175–191, https://doi.org/10.5194/soil-11-175-2025,https://doi.org/10.5194/soil-11-175-2025, 2025
Short summary
A quantitative assessment of the behavior of metallic elements in urban soils exposed to industrial dusts near Dunkirk (Northern France)
Marine Casetta, Sylvie Philippe, Lucie Courcot, David Dumoulin, Gabriel Billon, François Baudin, Françoise Henry, Michaël Hermoso, and Jacinthe Caillaud
EGUsphere, https://doi.org/10.5194/egusphere-2024-1875,https://doi.org/10.5194/egusphere-2024-1875, 2024
Short summary
Gully rehabilitation in southern Ethiopia – value and impacts for farmers
Wolde Mekuria, Euan Phimister, Getahun Yakob, Desalegn Tegegne, Awdenegest Moges, Yitna Tesfaye, Dagmawi Melaku, Charlene Gerber, Paul D. Hallett, and Jo U. Smith
SOIL, 10, 637–654, https://doi.org/10.5194/soil-10-637-2024,https://doi.org/10.5194/soil-10-637-2024, 2024
Short summary
A millennium of arable land use – the long-term impact of tillage and water erosion on landscape-scale carbon dynamics
Lena Katharina Öttl, Florian Wilken, Anna Juřicová, Pedro V. G. Batista, and Peter Fiener
SOIL, 10, 281–305, https://doi.org/10.5194/soil-10-281-2024,https://doi.org/10.5194/soil-10-281-2024, 2024
Short summary
Sensitivity of source sediment fingerprinting to tracer selection methods
Thomas Chalaux-Clergue, Rémi Bizeul, Pedro V. G. Batista, Núria Martínez-Carreras, J. Patrick Laceby, and Olivier Evrard
SOIL, 10, 109–138, https://doi.org/10.5194/soil-10-109-2024,https://doi.org/10.5194/soil-10-109-2024, 2024
Short summary

Cited articles

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. 
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006. 
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. 
Download
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.
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.
Share