Raster · dataset · 2024
Supporting data for Field validation of the superelevation method for debris-flow velocity estimation using high-resolution lidar and UAV data: Data from a debris-flow event in Illgraben, Switzerland, on 5 June 2022.
Listed in ETH Zürich Research Collection
Dataset from a debris-flow event taking place in Illgraben, Valais, Switzerland, on 5 June 2022.
Description
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).
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The Illgraben debris flow monitoring system is operated by the Swiss Federal Research Institute WSL.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/697351 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-b-000697351 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Physical geography and environmental geoscience 72%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/697351 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| title | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | /metadata/dc/title |