Articles | Volume 11, issue 5
https://doi.org/10.5194/se-11-1731-2020
© Author(s) 2020. 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-11-1731-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data acquisition by digitizing 2-D fracture networks and topographic lineaments in geographic information systems: further development and applications
Romesh Palamakumbura
CORRESPONDING AUTHOR
British Geological Survey, The Lyell Centre, Research Avenue South,
Edinburgh, EH14 4AP, UK
Maarten Krabbendam
British Geological Survey, The Lyell Centre, Research Avenue South,
Edinburgh, EH14 4AP, UK
Katie Whitbread
British Geological Survey, The Lyell Centre, Research Avenue South,
Edinburgh, EH14 4AP, UK
Christian Arnhardt
British Geological Survey, Nicker Hill, Keyworth, NG12 5GG, UK
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Cited
16 citations as recorded by crossref.
- A simplified GIS and google-earth-based approach for lineaments and terrain attributes mapping in a basement complex terrain M. Lawal et al. https://doi.org/10.1038/s41598-022-20057-2
- A new subsampling methodology to optimize the characterization of two-dimensional bedrock fracture networks N. Ovaskainen et al. https://doi.org/10.1016/j.jsg.2022.104528
- A novel approach for three-dimensional rock joint surface visualization based on photogrammetric point clouds Y. Lang et al. https://doi.org/10.1007/s10064-025-04255-6
- Are open-source aerial images useful for fracture network characterisation? Insights from a multi-scale approach in the Zagros Mts. M. Mercuri et al. https://doi.org/10.1016/j.jsg.2023.104866
- Combined Methods for Dimension Stone Deposits’ Joints and Fractures Detection, Digitalisation and Visualisation G. Madear & C. Madear https://doi.org/10.2478/minrv-2025-0030
- Fractures in the Niagara Escarpment in Ontario, Canada: distribution, connectivity, and geohazard implications S. Formenti et al. https://doi.org/10.1017/S0016756822000462
- Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops R. Prabhakaran et al. https://doi.org/10.1016/j.jsg.2021.104405
- The influence of bedrock faulting and fracturing on sediment availability and Quaternary slope systems, Talla, Southern Uplands, Scotland, UK K. Whitbread et al. https://doi.org/10.1016/j.pgeola.2023.11.003
- Rock fracturing by subglacial hydraulic jacking in basement rocks, eastern Sweden: the role of beam failure M. Krabbendam et al. https://doi.org/10.1080/11035897.2021.1939776
- Detailed investigation of multi-scale fracture networks in glacially abraded crystalline bedrock at Åland Islands, Finland N. Ovaskainen et al. https://doi.org/10.5194/se-14-603-2023
- Rock mass exposure fracture detection through 2D close-range images using image processing techniques: a review M. Esmaeili et al. https://doi.org/10.1007/s12145-025-01980-0
- Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al. https://doi.org/10.1080/02626667.2023.2208755
- UpsFrac v1.0: an open-source software for integrating modelling and upscaling permeability for fractured porous rocks T. Chen et al. https://doi.org/10.5194/gmd-18-9687-2025
- Automated fracture aperture quantification in rock outcrops using image processing technique: The OpenFraQ algorithm M. Esmaeili et al. https://doi.org/10.1016/j.rineng.2026.109043
- Analysis of the correlation between fracture topology and mechanical properties of rocks in fractured carbonate reservoirs: In Dehram group, Fars arc Zone (Southwest Iran) M. Ajami et al. https://doi.org/10.1016/j.marpetgeo.2025.107368
- Constructing large-scale high-fidelity fracture networks based on generative AI M. Nie et al. https://doi.org/10.1016/j.ijrmms.2026.106426
16 citations as recorded by crossref.
- A simplified GIS and google-earth-based approach for lineaments and terrain attributes mapping in a basement complex terrain M. Lawal et al. https://doi.org/10.1038/s41598-022-20057-2
- A new subsampling methodology to optimize the characterization of two-dimensional bedrock fracture networks N. Ovaskainen et al. https://doi.org/10.1016/j.jsg.2022.104528
- A novel approach for three-dimensional rock joint surface visualization based on photogrammetric point clouds Y. Lang et al. https://doi.org/10.1007/s10064-025-04255-6
- Are open-source aerial images useful for fracture network characterisation? Insights from a multi-scale approach in the Zagros Mts. M. Mercuri et al. https://doi.org/10.1016/j.jsg.2023.104866
- Combined Methods for Dimension Stone Deposits’ Joints and Fractures Detection, Digitalisation and Visualisation G. Madear & C. Madear https://doi.org/10.2478/minrv-2025-0030
- Fractures in the Niagara Escarpment in Ontario, Canada: distribution, connectivity, and geohazard implications S. Formenti et al. https://doi.org/10.1017/S0016756822000462
- Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops R. Prabhakaran et al. https://doi.org/10.1016/j.jsg.2021.104405
- The influence of bedrock faulting and fracturing on sediment availability and Quaternary slope systems, Talla, Southern Uplands, Scotland, UK K. Whitbread et al. https://doi.org/10.1016/j.pgeola.2023.11.003
- Rock fracturing by subglacial hydraulic jacking in basement rocks, eastern Sweden: the role of beam failure M. Krabbendam et al. https://doi.org/10.1080/11035897.2021.1939776
- Detailed investigation of multi-scale fracture networks in glacially abraded crystalline bedrock at Åland Islands, Finland N. Ovaskainen et al. https://doi.org/10.5194/se-14-603-2023
- Rock mass exposure fracture detection through 2D close-range images using image processing techniques: a review M. Esmaeili et al. https://doi.org/10.1007/s12145-025-01980-0
- Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al. https://doi.org/10.1080/02626667.2023.2208755
- UpsFrac v1.0: an open-source software for integrating modelling and upscaling permeability for fractured porous rocks T. Chen et al. https://doi.org/10.5194/gmd-18-9687-2025
- Automated fracture aperture quantification in rock outcrops using image processing technique: The OpenFraQ algorithm M. Esmaeili et al. https://doi.org/10.1016/j.rineng.2026.109043
- Analysis of the correlation between fracture topology and mechanical properties of rocks in fractured carbonate reservoirs: In Dehram group, Fars arc Zone (Southwest Iran) M. Ajami et al. https://doi.org/10.1016/j.marpetgeo.2025.107368
- Constructing large-scale high-fidelity fracture networks based on generative AI M. Nie et al. https://doi.org/10.1016/j.ijrmms.2026.106426
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
The aim of this paper is to describe, evaluate and develop a simple but robust low-cost method for capturing 2-D fracture network data in GIS and make them more accessible to a broader range of users in both academia and industry. We present a breakdown of the key steps in the methodology, which provides an understanding of how to avoid error and improve the accuracy of the final dataset. The 2-D digital method can be used to interpret traces of 2-D linear features on a wide variety of scales.
The aim of this paper is to describe, evaluate and develop a simple but robust low-cost method...