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
| 
16 Dec 2022
Brief communication |
| 16 Dec 2022
| 16 Dec 2022
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
6 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 10.1016/j.ecoleng.2024.107408
- 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. 10.1002/esp.5585
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al. 10.1007/s11629-024-8901-8
- AscDAMs: advanced SLAM-based channel detection and mapping system T. Wang et al. 10.5194/nhess-24-3075-2024
- Monitoring and Quantifying the Fluvio-Geomorphological Changes in a Torrent Channel Using Images from Unmanned Aerial Vehicles G. Gkiatas et al. 10.3390/hydrology9100184
- Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics H. Chen et al. 10.1007/s12665-024-11544-y
4 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 10.1016/j.ecoleng.2024.107408
- 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. 10.1002/esp.5585
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al. 10.1007/s11629-024-8901-8
- AscDAMs: advanced SLAM-based channel detection and mapping system T. Wang et al. 10.5194/nhess-24-3075-2024
2 citations as recorded by crossref.
- Monitoring and Quantifying the Fluvio-Geomorphological Changes in a Torrent Channel Using Images from Unmanned Aerial Vehicles G. Gkiatas et al. 10.3390/hydrology9100184
- Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics H. Chen et al. 10.1007/s12665-024-11544-y
Latest update: 14 Nov 2024
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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