five

Supporting data for Field validation of the superelevation method for debris-flow velocity estimation using high-resolution lidar and UAV data

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DataCite Commons2026-02-24 更新2026-05-03 收录
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http://hdl.handle.net/20.500.11850/697351
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Dataset from a debris-flow event taking place in Illgraben, Valais, Switzerland, on 5 June 2022. The dataset contains lidar point clouds and various variables derived thereof (surface velocity, interpolated flow surface, radius of curvature, and superelevation). The dataset also contains orthophotos and digital elevation models from before and after analysed events from the 2022 and 2023 debris flow seasons in Illgraben, as well as variables extracted from all analysed events from the 2019-2023 seasons (radius of curvature and superelevation). --> Dataset from a debris-flow event taking place in Illgraben, Valais, Switzerland, on 5 June 2022. The dataset contains lidar point clouds and various variables derived thereof (surface velocity, interpolated flow surface, radius of curvature, and superelevation). The dataset also contains orthophotos and digital elevation models from before and after analysed events from the 2022 and 2023 debris flow seasons in Illgraben, as well as variables extracted from all analysed events from the 2019-2023 seasons (radius of curvature and superelevation). The Illgraben debris flow monitoring system is operated by the Swiss Federal Research Institute WSL.
提供机构:
ETH Zurich
创建时间:
2024-10-03
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