Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops

Prabhakaran, Rahul; Urai, János; Bertotti, Giovanni; Weismüller, Christopher; Smeulders, David

doi:10.1016/j.jsg.2021.104405

Cited by 17 publications

(6 citation statements)

References 75 publications

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“…Digital photogrammetry and LiDAR-based geospatial field data acquisition using smartphones and tablets is revolutionizing the use of close-range 3D remote sensing within the geosciences [1][2][3][4][5][6][7]. Commensurately, the rapid uptake of low-cost, readily deployable multi-senor drones has extended the reach of such techniques, enabling nadir view photogrammetric surveys of horizontal outcrops, as well as occlusion free reconstructions of large vertical sections [8][9][10]. Despite the relative simplicity with which 3D surface reconstructions of geological exposures (i.e., virtual or digital outcrop models: [11][12][13][14][15][16][17][18][19]) can be acquired using such platforms, the reliability of the geospatial information extracted from their data products is typically unclear, particularly when survey grade measurements are unavailable to calibrate and benchmark the resultant outcrop models.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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We are witnessing a digital revolution in geoscientific field data collection and data sharing, driven by the availability of low-cost sensory platforms capable of generating accurate surface reconstructions as well as the proliferation of apps and repositories which can leverage their data products. Whilst the wider proliferation of 3D close-range remote sensing applications is welcome, improved accessibility is often at the expense of model accuracy. To test the accuracy of consumer-grade close-range 3D model acquisition platforms commonly employed for geo-documentation, we have mapped a 20-m-wide trench using aerial and terrestrial photogrammetry, as well as iOS LiDAR. The latter was used to map the trench using both the 3D Scanner App and PIX4Dcatch applications. Comparative analysis suggests that only in optimal scenarios can geotagged field-based photographs alone result in models with acceptable scaling errors, though even in these cases, the orientation of the transformed model is not sufficiently accurate for most geoscientific applications requiring structural metric data. The apps tested for iOS LiDAR acquisition were able to produce accurately scaled models, though surface deformations caused by simultaneous localization and mapping (SLAM) errors are present. Finally, of the tested apps, PIX4Dcatch is the iOS LiDAR acquisition tool able to produce correctly oriented models.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…7). Prabhakaran et al (2021) report that Y-nodes form 70 to 80% of the nodes in Liassic limestones ∼2.3 km to the east at Lilstock. I-nodes are rare (10.3%; Table 2a), with the joints being highly connected in the network.…”

Section: Topologies Of Superposed Fracture Network At Lilstockmentioning

confidence: 99%

Superposed fracture networks

Peacock,

Sanderson,

Magán

2023

Geol. Mag.

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The concept of superposed fracture networks consisting of different generations, and often types, of fractures that have developed sequentially is discussed. Superposed networks can consist of different types of extension or shear fractures, and each fracture may abut, cross or follow (reactivate) earlier fractures. An example of a superposed fracture network in Liassic limestones in Somerset, UK, is presented, which comprises two sets of veins and a later joint network. The veins develop as damage zones around faults, with veins of the later set crossing or trailing along the earlier set. The later joints either cross-cut the earlier veins or reactivate them, the latter being common for the thicker (more than about 5 mm) veins. The veins and joint networks have markedly different geometries and topologies. The veins are spatially clustered and are typically dominated by I-nodes, while the joints are more evenly distributed and tend to be dominated by Y-nodes. The combined network of veins and joints at Lilstock is dominated by X-nodes because so many joints cross-cut the earlier veins. Understanding the development of superposed fracture networks leads to better understanding of the kinematic, mechanical, tectonic and fluid flow history of rocks.

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“…The choice of method for determining cracks as well as tracing is based on a compromise between the required accuracy and detail and the absence of determination errors and processing costs [41,43]. Manual techniques are reasonable when the size of the study site is relatively small or high accuracy is required, while using them on large areas is time-consuming and impractical [44,45]. Thiele et al [46] compared the accuracy of manual fracture tracing, semi-automatic, and automatic techniques.…”

Section: Discontinuities Extraction Techniquesmentioning

confidence: 99%

Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data

Gantimurova,

Parshin

2023

Remote Sensing

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Gravitational processes on cut slopes located close to infrastructure are a high concern in mountainous regions. There are many techniques for survey, assessment, and prognosis of hazardous exogenous geological processes. The given research describes using UAV data and GIS morphometric analysis for delineation of hazardous rockfall zones and 3D modelling to obtain an enhanced, detailed evaluation of slope characteristics. Besides the slope geomorphometric data, we integrated discontinuity layers, including rock plains orientation and fracture network density. Cloud Compare software 2.12 was utilised for facet extraction. Fracture discontinuity analysis was performed in QGIS using the Network GT plugin. The presented research uses an Analytical Hierarchy Process (AHP) to determine the weight of each contributing factor. GIS overlay of weighted factors is applied for rockfall susceptibility mapping. This integrated approach allows for a more comprehensive GIS-based rockfall susceptibility mapping by considering both the structural characteristics of the outcrop and the geomorphological features of the slope. By combining UAV data, GIS-based morphometric analysis, and discontinuity analysis, we are able to delineate hazardous rockfall zones effectively.

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Large-scale natural fracture network patterns: Insights from automated mapping in the Lilstock (Bristol Channel) limestone outcrops

Cited by 17 publications

References 75 publications

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

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

Superposed fracture networks

Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data

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