Articles | Volume 19, issue 12
https://doi.org/10.5194/nhess-19-2745-2019
© Author(s) 2019. 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-19-2745-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Three-dimensional rockfall shape back analysis: methods and implications
David A. Bonneau
CORRESPONDING AUTHOR
Department of Geological Sciences and Geological Engineering –
Queen's University, Kingston, Ontario, Canada, K7L 3N6
D. Jean Hutchinson
Department of Geological Sciences and Geological Engineering –
Queen's University, Kingston, Ontario, Canada, K7L 3N6
Paul-Mark DiFrancesco
Department of Geological Sciences and Geological Engineering –
Queen's University, Kingston, Ontario, Canada, K7L 3N6
Melanie Coombs
Department of Geological Sciences and Geological Engineering –
Queen's University, Kingston, Ontario, Canada, K7L 3N6
Zac Sala
Department of Geological Sciences and Geological Engineering –
Queen's University, Kingston, Ontario, Canada, K7L 3N6
BGC Engineering Inc., Vancouver, British Columbia, Canada, V6Z 0C8
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Cited
19 citations as recorded by crossref.
- Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification I. Farmakis et al. 10.3390/rs13071354
- Experimental investigations on complex block propagation for the assessment of propagation models quality F. Bourrier et al. 10.1007/s10346-020-01469-5
- Debris-Flow Channel Headwater Dynamics: Examining Channel Recharge Cycles With Terrestrial Laser Scanning D. Bonneau et al. 10.3389/feart.2022.883259
- Effect of particle shape and initial orientation on the kinematics and runout behavior of rockfalls D. Krengel et al. 10.1007/s10346-024-02256-2
- Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. 10.3390/rs12152459
- Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics A. Lausch et al. 10.3390/rs14092279
- The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco A. Bounab et al. 10.3390/rs14246205
- Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces A. Lausch et al. 10.3390/rs12223690
- The relevance of rock shape over mass—implications for rockfall hazard assessments A. Caviezel et al. 10.1038/s41467-021-25794-y
- Rockfall trajectory reconstruction: a flexible method utilizing video footage and high-resolution terrain models F. Noël et al. 10.5194/esurf-10-1141-2022
- The Implications of M3C2 Projection Diameter on 3D Semi-Automated Rockfall Extraction from Sequential Terrestrial Laser Scanning Point Clouds P. DiFrancesco et al. 10.3390/rs12111885
- Rockfall detection using LiDAR and deep learning I. Farmakis et al. 10.1016/j.enggeo.2022.106836
- Degradation at theInSightLanding Site,Homestead Hollow, Mars: Constraints From Rock Heights and Shapes J. Grant et al. 10.1029/2021EA001953
- Rockfall susceptibility analysis through 3D simulations in marine protected areas of the Portofino coastline: case studies of San Fruttuoso and Paraggi bays J. Clemente et al. 10.1007/s10064-023-03133-3
- Change Detection Applications in the Earth Sciences Using UAS-Based Sensing: A Review and Future Opportunities C. Andresen & E. Schultz-Fellenz 10.3390/drones7040258
- Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases H. Schovanec et al. 10.3390/rs13081479
- The Potential of UAV-Acquired Photogrammetric and LiDAR-Point Clouds for Obtaining Rock Dimensions as Input Parameters for Modeling Rockfall Runout Zones B. Žabota et al. 10.3390/drones7020104
- An algorithm for measuring landslide deformation in terrestrial lidar point clouds using trees L. Weidner et al. 10.1007/s10346-021-01723-4
- Evaluation of rockfall hazard based on UAV technology and 3D Rockfall Simulations M. UTLU et al. 10.30897/ijegeo.1323768
17 citations as recorded by crossref.
- Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification I. Farmakis et al. 10.3390/rs13071354
- Experimental investigations on complex block propagation for the assessment of propagation models quality F. Bourrier et al. 10.1007/s10346-020-01469-5
- Debris-Flow Channel Headwater Dynamics: Examining Channel Recharge Cycles With Terrestrial Laser Scanning D. Bonneau et al. 10.3389/feart.2022.883259
- Effect of particle shape and initial orientation on the kinematics and runout behavior of rockfalls D. Krengel et al. 10.1007/s10346-024-02256-2
- Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. 10.3390/rs12152459
- Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics A. Lausch et al. 10.3390/rs14092279
- The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco A. Bounab et al. 10.3390/rs14246205
- Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces A. Lausch et al. 10.3390/rs12223690
- The relevance of rock shape over mass—implications for rockfall hazard assessments A. Caviezel et al. 10.1038/s41467-021-25794-y
- Rockfall trajectory reconstruction: a flexible method utilizing video footage and high-resolution terrain models F. Noël et al. 10.5194/esurf-10-1141-2022
- The Implications of M3C2 Projection Diameter on 3D Semi-Automated Rockfall Extraction from Sequential Terrestrial Laser Scanning Point Clouds P. DiFrancesco et al. 10.3390/rs12111885
- Rockfall detection using LiDAR and deep learning I. Farmakis et al. 10.1016/j.enggeo.2022.106836
- Degradation at theInSightLanding Site,Homestead Hollow, Mars: Constraints From Rock Heights and Shapes J. Grant et al. 10.1029/2021EA001953
- Rockfall susceptibility analysis through 3D simulations in marine protected areas of the Portofino coastline: case studies of San Fruttuoso and Paraggi bays J. Clemente et al. 10.1007/s10064-023-03133-3
- Change Detection Applications in the Earth Sciences Using UAS-Based Sensing: A Review and Future Opportunities C. Andresen & E. Schultz-Fellenz 10.3390/drones7040258
- Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases H. Schovanec et al. 10.3390/rs13081479
- The Potential of UAV-Acquired Photogrammetric and LiDAR-Point Clouds for Obtaining Rock Dimensions as Input Parameters for Modeling Rockfall Runout Zones B. Žabota et al. 10.3390/drones7020104
Latest update: 02 Oct 2024
Short summary
In mountainous regions around the world rockfalls pose a hazard to infrastructure and society. To aid in our understanding and management of these complex hazards, an inventory can be compiled. Three-dimensional remote sensing data can be used to locate the source zones of these events and generate models of areas which detached. We address the way in which the shape of a rockfall object can be measured. The shape of a rockfall has implications for forward modelling of potential runout zones.
In mountainous regions around the world rockfalls pose a hazard to infrastructure and society....
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