Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-4011-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-4011-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrent
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, 8093 Zurich, Switzerland
Elias Hodel
Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, 8093 Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Erik S. Mannerfelt
Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, 8093 Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Kristen Cook
GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Michael Dietze
Faculty of Geosciences and Geography, Georg-August-Universität Göttingen, 37077 Göttingen, Germany
GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Livia Estermann
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland
Michaela Wenner
Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, 8093 Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Daniel Farinotti
Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, 8093 Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Martin Fengler
Meteomatics AG, 9014 St. Gallen, Switzerland
Lukas Hammerschmidt
Meteomatics AG, 9014 St. Gallen, Switzerland
Flavia Hänsli
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland
Jacob Hirschberg
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland
Brian McArdell
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Peter Molnar
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland
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Cited
10 citations as recorded by crossref.
- Assessing the impact of sediment characteristics on vegetation recovery in debris flow fans: A case study of the Ohya Region, Japan S. Yousefi & F. Imaizumi
- Spatio-temporal distribution of boulders along a debris-flow torrent assessed by UAV photogrammetry S. Dahal et al.
- Robotic Applications for Wildfire Management in the Wildland–Urban Interface: A Scoping Review A. Akanmu et al.
- Common-feature-track-matching approach for multi-epoch UAV photogrammetry co-registration X. Li et al.
- Linking debris flow erosion to channel-bed parameters: Geotechnical and UAS-based investigation of ten channels in Switzerland H. Vicari et al.
- Towards an automated acquisition and parametrization of debris‐flow prone torrent channel properties based on photogrammetric‐derived uncrewed aerial vehicle data G. Schmucki et al.
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al.
- Co-alignment of time-series images obtained from unmanned aerial vehicles: a case study in a reforestation area S. Otsuki & K. Yamamoto
- Spatial distribution and transport characteristics of debris flow sediment using high resolution UAV images in the Ohya debris flow fan S. Yousefi et al.
- AscDAMs: advanced SLAM-based channel detection and mapping system T. Wang et al.
10 citations as recorded by crossref.
- Assessing the impact of sediment characteristics on vegetation recovery in debris flow fans: A case study of the Ohya Region, Japan S. Yousefi & F. Imaizumi
- Spatio-temporal distribution of boulders along a debris-flow torrent assessed by UAV photogrammetry S. Dahal et al.
- Robotic Applications for Wildfire Management in the Wildland–Urban Interface: A Scoping Review A. Akanmu et al.
- Common-feature-track-matching approach for multi-epoch UAV photogrammetry co-registration X. Li et al.
- Linking debris flow erosion to channel-bed parameters: Geotechnical and UAS-based investigation of ten channels in Switzerland H. Vicari et al.
- Towards an automated acquisition and parametrization of debris‐flow prone torrent channel properties based on photogrammetric‐derived uncrewed aerial vehicle data G. Schmucki et al.
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al.
- Co-alignment of time-series images obtained from unmanned aerial vehicles: a case study in a reforestation area S. Otsuki & K. Yamamoto
- Spatial distribution and transport characteristics of debris flow sediment using high resolution UAV images in the Ohya debris flow fan S. Yousefi et al.
- AscDAMs: advanced SLAM-based channel detection and mapping system T. Wang et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place...
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