Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Luuk Dorren
Has grant
Head of Research / Prof. of natural hazards and risk management
Research Interests
Make your next move.
Prepare your application
Review drafts before you send them.
Explore related searches
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
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2024
Year:
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
Massimiliano Schwarz
Professor
-
Arie Christoffel Seijmonsbergen
Academic, Assistant Professor
University of Amsterdam
Filippo Giadrossich
Associate Professor
University of Sassari
Christine Moos
Scientist & Lecturer
Bern University of Applied Sciences (BFH)
E. Emiel van Loon
Academic, Assistant Professor
University of Amsterdam
Bryan Tyrone Adey
Professor
ETH Zürich
Alice Alipour
Olson Professor of Civil Engineering
Iowa State University
Make your next move.
Prepare your application
Review drafts before you send them.