Articles | Volume 8, issue 6
https://doi.org/10.5194/se-8-1241-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-8-1241-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
Lachlan Grose
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
Anindita Samsu
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
Steven Micklethwaite
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
Stefan A. Vollgger
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
Alexander R. Cruden
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, 3800, Australia
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167 citations as recorded by crossref.
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- Enhancing fracture network characterization: A data-driven, outcrop-based analysis W. Zhu et al.
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- Outcrop-scale fracture analysis and seismic modelling of a basin-bounding normal fault in platform carbonates, central Italy T. Volatili et al.
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- HVPS-DFN-DL: Intelligent capture and characterization of geological fracture outcrops based on a hybrid vision-photogrammetric system and discrete fracture network M. Wang et al.
- Near surface generation, burial recrystallization, and structural overprinting of carbonate platform dolomites G. Gairola et al.
- Quantitative characterization of fracture network in large sheath-fold: field and UAV-based digital outcrop model analysis (Ligurian Alps, Italy) M. Perozzo et al.
- Combining traditional and quantitative multiscale structural analysis to reconstruct the tectono-metamorphic evolution of migmatitic basements: the case of the Valpelline Series, Dent-Blanche Tectonic System, Western Alps F. Caso et al.
- Application of fibrous streambank protection against groundwater seepage erosion O. Akay et al.
- Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems R. Jackisch et al.
- Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data S. Gantimurova & A. Parshin
- Improvements in Rock Mass Description for Stope Design by Geophysical and Geochemical Methods M. Rinne et al.
- Enhanced region growth for extracting discontinuities in rock mass point cloud using optimized farthest point sampling M. Wang et al.
- Spatially Constrained Discontinuity Trace Extraction from 3D Point Clouds by Intersecting Boundaries Segmented J. Sima et al.
- Observations on the May 2019 Joffre Peak landslides, British Columbia P. Friele et al.
- 3D Distinct Element Back Analysis Based on Rock Structure Modelling of SfM Point Clouds: The Case of the 2019 Pinglu Rockfall of Kaili, China Z. Ye et al.
- Analysis of Rockfalls by Means of a Fractal Fragmentation Model R. Ruiz-Carulla & J. Corominas
- A new subsampling methodology to optimize the characterization of two-dimensional bedrock fracture networks N. Ovaskainen et al.
- Evaluation of an innovative, open-source and quantitative approach for the kinematic analysis of rock slopes based on UAV based Digital Outcrop Model: A case study from a railway tunnel portal (Finale Ligure, Italy) M. Perozzo et al.
- Analysis by UAV Digital Photogrammetry of Folds and Related Fractures in the Monte Antola Flysch Formation (Ponte Organasco, Italy) N. Menegoni et al.
- Rock mass discontinuity trace mapping using a voxel-based morphology-topology framework J. Sima et al.
- Interactive Fracture Segmentation Based on Optimum Connectivity Between Superpixels A. Marques Junior et al.
- Gypsum cave notches and their palaeoenvironmental significance: A combined morphometric study using terrestrial laser scanning, traditional cave mapping, and geomorphological observations J. Sevil-Aguareles et al.
- Fracture intensity and associated variability: A new methodology for 3D digital outcrop model analysis of carbonate reservoirs Y. Panara et al.
- Shear instability identification method and its damage characteristics based on automatic recognition of three-dimensional curvature of limestone joint surfaces S. Zhang et al.
- A low-cost approach for determination of discontinuity orientation using smartphone images and application to a part of Ihlara Valley (Central Turkey) H. Ozturk et al.
- 3D digital outcrop model-based analysis of fracture network along the seismogenic Mt. Vettore Fault System (Central Italy): the importance of inherited fractures Y. Panara et al.
- Structural controls on hydrothermal fluid flow in a carbonate geothermal reservoir: Insights from giant carbonate veins in western Germany L. Smeraglia et al.
- Redefining the boundary between crystalline and sedimentary rock of Eastern Dahomey Basin G. Mosuro et al.
- Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence A. Corradetti et al.
- Investigating hydraulic anisotropy of fractured rock mass using three-dimensional numerical modelling and laser scanning: a case study at South Crofty mine in Cornwall, UK L. He et al.
- A critical review of automated extraction of rock mass parameters using 3D point cloud data J. Chen et al.
- Best practices towards the digitization of 3D traces from virtual outcrop models S. Tavani et al.
- Semiautomatic Determination of the Geological Strength Index Using SfM and ANN Techniques M. Abrão Zeni et al.
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Saved (final revised paper)
Latest update: 11 May 2026
Short summary
We demonstrate a new method that enhances our ability to interpret large datasets commonly used in the earth sciences, including point clouds and rasters. Implemented as plugins for CloudCompare and QGIS, we use a least-cost-path solver to track structures and contacts through data, allowing for expert-guided interpretation in a way that seamlessly utilises computing power to optimise the interpretation process and improve objectivity and consistency.
We demonstrate a new method that enhances our ability to interpret large datasets commonly used...