Articles | Volume 6, issue 1
https://doi.org/10.5194/esurf-6-101-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-6-101-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency
Jack G. Williams
CORRESPONDING AUTHOR
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, UK
Nick J. Rosser
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, UK
Richard J. Hardy
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, UK
Matthew J. Brain
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, UK
Ashraf A. Afana
National Trust, Kemble Drive, Swindon, UK
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Cited
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- Three-dimensional rockfall shape back analysis: methods and implications D. Bonneau et al. 10.5194/nhess-19-2745-2019
- Rockfall Magnitude-Frequency Relationship Based on Multi-Source Data from Monitoring and Inventory M. Janeras et al. 10.3390/rs15081981
- Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. 10.3390/rs12152459
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- Rapid 3D lidar change detection for geohazard identification using GPU-based alignment and M3C2 algorithms L. Weidner et al. 10.1139/cgj-2023-0073
- GlobR2C2 (Global Recession Rates of Coastal Cliffs): a global relational database to investigate coastal rocky cliff erosion rate variations M. Prémaillon et al. 10.5194/esurf-6-651-2018
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- Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals T. Vo et al. 10.1016/j.engappai.2023.107643
- Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 1. Methodological development based on high‐resolution topography M. Llena et al. 10.1002/esp.4821
- Decoding Complex Erosion Responses for the Mitigation of Coastal Rockfall Hazards Using Repeat Terrestrial LiDAR M. Westoby et al. 10.3390/rs12162620
- A 6-year lidar survey reveals enhanced rockwall retreat and modified rockfall magnitudes/frequencies in deglaciating cirques I. Hartmeyer et al. 10.5194/esurf-8-753-2020
- Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification I. Farmakis et al. 10.3390/rs13071354
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- Monitoring topographic changes through 4D-structure-from-motion photogrammetry: application to a debris-flow channel S. Cucchiaro et al. 10.1007/s12665-018-7817-4
- M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation L. Winiwarter et al. 10.1016/j.isprsjprs.2021.06.011
- A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands S. Vos et al. 10.1038/s41597-022-01291-9
- Simulation of fragmental rockfalls detected using terrestrial laser scans from rock slopes in south-central British Columbia, Canada Z. Sala et al. 10.5194/nhess-19-2385-2019
- Power law models for rockfall frequency-magnitude distributions: review and identification of factors that influence the scaling exponent A. Graber & P. Santi 10.1016/j.geomorph.2022.108463
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- Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall M. Guinau et al. 10.1016/j.enggeo.2019.04.010
- Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls I. Hartmeyer et al. 10.5194/esurf-8-729-2020
- High-Temporal-Resolution Rock Slope Monitoring Using Terrestrial Structure-from-Motion Photogrammetry in an Application with Spatial Resolution Limitations B. Butcher et al. 10.3390/rs16010066
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- Controls on the geotechnical response of sedimentary rocks to weathering S. de Vilder et al. 10.1002/esp.4619
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- Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System R. Kromer et al. 10.3390/rs11161890
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98 citations as recorded by crossref.
- The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation J. Williams et al. 10.1029/2019JF005225
- Three-dimensional rockfall shape back analysis: methods and implications D. Bonneau et al. 10.5194/nhess-19-2745-2019
- Rockfall Magnitude-Frequency Relationship Based on Multi-Source Data from Monitoring and Inventory M. Janeras et al. 10.3390/rs15081981
- Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. 10.3390/rs12152459
- Short-term geomorphological evolution of the Poggio Baldi landslide upper scarp via 3D change detection P. Mazzanti et al. 10.1007/s10346-021-01647-z
- Rapid 3D lidar change detection for geohazard identification using GPU-based alignment and M3C2 algorithms L. Weidner et al. 10.1139/cgj-2023-0073
- GlobR2C2 (Global Recession Rates of Coastal Cliffs): a global relational database to investigate coastal rocky cliff erosion rate variations M. Prémaillon et al. 10.5194/esurf-6-651-2018
- Using High Sample Rate Lidar to Measure Debris-Flow Velocity and Surface Geometry F. Rengers et al. 10.2113/EEG-D-20-00045
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- Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 1. Methodological development based on high‐resolution topography M. Llena et al. 10.1002/esp.4821
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- A 6-year lidar survey reveals enhanced rockwall retreat and modified rockfall magnitudes/frequencies in deglaciating cirques I. Hartmeyer et al. 10.5194/esurf-8-753-2020
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- Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall M. Guinau et al. 10.1016/j.enggeo.2019.04.010
- Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls I. Hartmeyer et al. 10.5194/esurf-8-729-2020
- High-Temporal-Resolution Rock Slope Monitoring Using Terrestrial Structure-from-Motion Photogrammetry in an Application with Spatial Resolution Limitations B. Butcher et al. 10.3390/rs16010066
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- New Approach for Photogrammetric Rock Slope Premonitory Movements Monitoring M. Núñez-Andrés et al. 10.3390/rs15020293
- Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System R. Kromer et al. 10.3390/rs11161890
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- 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series K. Anders et al. 10.1016/j.isprsjprs.2019.11.025
- Conceptual model of fracture‐limited sea cliff erosion: Erosion of the seaward tilted flyschs of Socoa, Basque Country, France M. Prémaillon et al. 10.1002/esp.5201
- Debris-Flow Channel Headwater Dynamics: Examining Channel Recharge Cycles With Terrestrial Laser Scanning D. Bonneau et al. 10.3389/feart.2022.883259
- Emergent characteristics of rockfall inventories captured at a regional scale J. Benjamin et al. 10.1002/esp.4929
- Size-frequency distribution of submarine mass movements on the Palomares continental slope (W Mediterranean) L. Retegui et al. 10.1016/j.margeo.2024.107411
- MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff D. Carrea et al. 10.3390/geosciences11020075
- Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes K. Anders et al. 10.1016/j.isprsjprs.2021.01.015
- Remote thermal detection of exfoliation sheet deformation A. Guerin et al. 10.1007/s10346-020-01524-1
- Landslide Scaling: A Review S. Tebbens 10.1029/2019EA000662
- Sub‐arctic river bank dynamics and driving processes during the open‐channel flow period E. Lotsari et al. 10.1002/esp.4796
- Statistically assessing vertical change on a sandy beach from permanent laser scanning time series M. Kuschnerus et al. 10.1016/j.ophoto.2023.100055
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- Using visibility analysis to improve point density and processing time of SfM‐MVS techniques for 3D reconstruction of landforms Á. Gómez‐Gutiérrez et al. 10.1002/esp.4910
- Canadian Geotechnical Colloquium: three-dimensional remote sensing, four-dimensional analysis and visualization in geotechnical engineering — state of the art and outlook M. Lato 10.1139/cgj-2020-0399
- Quantifying 40 years of rockfall activity in Yosemite Valley with historical Structure-from-Motion photogrammetry and terrestrial laser scanning A. Guerin et al. 10.1016/j.geomorph.2020.107069
- Machine Learning-Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain) L. Blanco et al. 10.3390/rs14174306
- Change Detection Applications in the Earth Sciences Using UAS-Based Sensing: A Review and Future Opportunities C. Andresen & E. Schultz-Fellenz 10.3390/drones7040258
- Using Mixed Reality for the Visualization and Dissemination of Complex 3D Models in Geosciences—Application to the Montserrat Massif (Spain) M. Janeras et al. 10.3390/geosciences12100370
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- Applications of Image-Based Computer Vision for Remote Surveillance of Slope Instability M. Muhammad et al. 10.3389/feart.2022.909078
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- Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras X. Blanch et al. 10.3390/rs12081240
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- Coseismic landslides triggered by the 2022 Luding Ms6.8 earthquake, China L. Dai et al. 10.1007/s10346-023-02061-3
- Determination of underground mining-induced displacement field using multi-temporal TLS point cloud registration W. Matwij et al. 10.1016/j.measurement.2021.109482
- Assessing the rock failure return period on an unstable Alpine rock wall based on volume-frequency relationships: The Brenva Spur (3916 m a.s.l., Aosta Valley, Italy) L. Fei et al. 10.1016/j.enggeo.2023.107239
- Multi-directional change detection between point clouds J. Williams et al. 10.1016/j.isprsjprs.2020.12.002
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Latest update: 05 Nov 2024
Short summary
We present a method to analyse surface change using 3-D data collected at hourly intervals. This is applied to 9000 surveys of a failing rock slope, acquired over 10 months. A higher proportion and frequency of small rockfall is observed than in less-frequent (e.g. monthly) monitoring. However, quantifying longer-term erosion rates may be more suited to less-frequent data collection, which contains lower accumulative errors due to the number of surveys and the lower proportion of small events.
We present a method to analyse surface change using 3-D data collected at hourly intervals. This...