Deep learning-based object detection on LiDAR-derived hillshade images: insights into grain size distribution and longitudinal sorting of debris flows

Schmid, Paul E.; Hirschberg, Jacob; Spielmann, Raffaele; Aaron, Jordan

doi:10.5194/nhess-25-4863-2025

Articles | Volume 25, issue 12

https://doi.org/10.5194/nhess-25-4863-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-4863-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 12

Research article

|

09 Dec 2025

Research article |

| 09 Dec 2025

Deep learning-based object detection on LiDAR-derived hillshade images: insights into grain size distribution and longitudinal sorting of debris flows

Paul E. Schmid, Jacob Hirschberg, Raffaele Spielmann, and Jordan Aaron

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Cited articles

Aaron, J., Spielmann, R., McArdell, B. W., and Graf, C.: High-Frequency 3D LiDAR Measurements of a Debris Flow: A Novel Method to Investigate the Dynamics of Full-Scale Events in the Field, Geophysical Research Letters, 50, e2022GL102373, https://doi.org/10.1029/2022GL102373, 2023. a, b, c, d, e, f, g

Aaron, J., Langham, J., Spielmann, R., Hirschberg, J., McArdell, B., Boss, S., Johnson, C. G., and Gray, J. M. N. T.: Detailed Observations Reveal the Genesis and Dynamics of Destructive Debris-Flow Surges, Communications Earth & Environment, 6, 556, https://doi.org/10.1038/s43247-025-02488-7, 2025. a, b, c, d, e, f, g, h, i

Aaron, J., Langham, J., Spielmann, R., Hirschberg, J., McArdell, B. W., Boss, S, Johnson, C., and Gray, N.: Data for Detailed observations reveal the genesis and dynamics of destructive debris-flow surges, ETH Research Collection [data set], https://doi.org/10.3929/ethz-b-000736836, 2025. a, b

Åberg, A., Aaron, J., McArdell, B. W., Kirchner, J., de Haas, T., and Hirschberg, J.: Field Validation of the Superelevation Method for Debris-Flow Velocity Estimation Using High-Resolution Lidar and UAV Data, Journal of Geophysical Research: Earth Surface, 129, e2024JF007857, https://doi.org/10.1029/2024JF007857, 2024. a, b

Aharon, N., Orfaig, R., and Bobrovsky, B.-Z.: BoT-SORT: Robust Associations Multi-Pedestrian Tracking, arXiv [preprint], https://doi.org/10.48550/arXiv.2206.14651, 2022. a