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Luuk Dorren

Has grant

Head of Research / Prof. of natural hazards and risk management

Bern University of Applied Sciences (BFH)
Country flagSwitzerland

Research Interests

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Recent Grants

Grant: Open

BERNICE: Synergies and trade-offs between biodiversity conservation and protection against natural hazards in forests

Open Date: 2025-10-01

Close Date: 2029-09-30

Grant: Open

Rockaval - Modelling the propagation of rock mass falls using machine learning and a refined energy line approach

Open Date: 2025-03-01

Close Date: 2029-02-28

Grant: Close

FINT-CH - Find individual trees Switzerland

Open Date: 2018-10-01

Close Date: 2021-12-01

Grant: Close

ALIEN - Assessment of the long terms effects of invading tree species on the protective function of forests against rockfall in Switzerland and France: The case of Ailanthus altissima (Tree of heaven)

Open Date: 2015-01-01

Close Date: 2018-04-30

Articles (12)

Year:

2026

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2025

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2025

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2025

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2025

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2024

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2024

Year:

2023

The aim of this study was to delimit potential rockfall propagation zones based on simulated 2 m resolution rockfall trajectories using Rockyfor3D for block volume scenarios ranging from 0.05–30 m3, with explicit inclusion of the barrier effect of standing trees, for an area of approx. 7200 km2 in Switzerland and Liechtenstein. For the determination of the start cells, as well as the slope surface characteristics, we used the terrain morphology derived from a 1 m resolution digital terrain model, as well as the topographic landscape model geodataset of swisstopo and information from geological maps. The forest structure was defined by individual trees with their coordinates, diameters, and tree type (coniferous or broadleaved). These were generated from detected individual trees combined with generated trees on the basis of statistical relationships between the detected trees, remote sensing-based forest structure type definitions, and stem numbers from field inventory data. From the simulated rockfall propagation zones we delimited rockfall hazard indication zones (HIZ), as called by the practitioners (because they serve as a basis for the Swiss hazard index map), on the basis of the simulated reach probability rasters. As validation, 1554 mapped past rockfall events were used. The results of the more than 89 billion simulated trajectories showed that 94% of the mapped silent witnesses could be reproduced by the simulations and at least 82% are included in the delimited HIZ.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (8)

Christian Ginzler

Head of Research Group Remote Sensing

Swiss Federal Institute for Forest, Snow and Landscape Research

SWITZERLAND
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Massimiliano Schwarz

Professor

-

SWITZERLAND
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Arie Christoffel Seijmonsbergen

Academic, Assistant Professor

University of Amsterdam

NETHERLANDS
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Filippo Giadrossich

Associate Professor

University of Sassari

ITALY
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Christine Moos

Scientist & Lecturer

Bern University of Applied Sciences (BFH)

SWITZERLAND
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E. Emiel van Loon

Academic, Assistant Professor

University of Amsterdam

NETHERLANDS
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Bryan Tyrone Adey

Professor

ETH Zürich

SWITZERLAND
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Alice Alipour

Olson Professor of Civil Engineering

Iowa State University

UNITED STATES
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