Mapping folds and fractures in basement and cover rocks using UAV photogrammetry, Cape Liptrap and Cape Paterson, Victoria, Australia

Vollgger, Stefan Alois; Cruden, Alexander

doi:10.1016/j.jsg.2016.02.012

Cited by 126 publications

(67 citation statements)

References 55 publications

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“…This proliferation of data has led to a situation in which it is now no longer practical to use manual methods to extract geological information, meaning that the full geological value of high-quality datasets is often not extracted. For example, high-and ultra-high-resolution (centimetre to millimetre) photorealistic reconstructions of geological outcrops ("digital outcrop models") are becoming widely available (McCaffrey et al, 2005;Pringle et al, 2006;Vollgger and Cruden, 2016), typically acquired using either laser scanning technology (Buckley et al, 2008) or photogrammetric workflows (Bemis et al, 2014;Smith et al, 2015). These techniques, combined with inexpensive and easy-to-use UAV technology, now make it feasible to acquire topographic data at millimetre to centimetre resolution over areas of several square kilometres (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These techniques, combined with inexpensive and easy-to-use UAV technology, now make it feasible to acquire topographic data at millimetre to centimetre resolution over areas of several square kilometres (e.g. Vollgger and Cruden, 2016;Cruden et al, 2016), providing for the first time an objective method for rapidly collecting detailed 3-D information on geological structures.…”

Section: Introductionmentioning

confidence: 99%

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Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data

et al. 2017

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Abstract. The advent of large digital datasets from unmanned aerial vehicle (UAV) and satellite platforms now challenges our ability to extract information across multiple scales in a timely manner, often meaning that the full value of the data is not realised. Here we adapt a least-cost-path solver and specially tailored cost functions to rapidly interpolate structural features between manually defined control points in point cloud and raster datasets. We implement the method in the geographic information system QGIS and the point cloud and mesh processing software CloudCompare. Using these implementations, the method can be applied to a variety of three-dimensional (3-D) and two-dimensional (2-D) datasets, including high-resolution aerial imagery, digital outcrop models, digital elevation models (DEMs) and geophysical grids.We demonstrate the algorithm with four diverse applications in which we extract (1) joint and contact patterns in high-resolution orthophotographs, (2) fracture patterns in a dense 3-D point cloud, (3) earthquake surface ruptures of the Greendale Fault associated with the M w 7.1 Darfield earthquake (New Zealand) from high-resolution light detection and ranging (lidar) data, and (4) oceanic fracture zones from bathymetric data of the North Atlantic. The approach improves the consistency of the interpretation process while retaining expert guidance and achieves significant improvements (35-65 %) in digitisation time compared to traditional methods. Furthermore, it opens up new possibilities for data synthesis and can quantify the agreement between datasets and an interpretation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data

et al. 2017

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“…The broader context of this work was to determine how magma flow was channelized in such networks and how sulfide liquids become trapped in channels to form magmatic sulfide deposits. In similar way Vollgger and Cruden (2016) mapped folds in rocky Cape Liptrap and Cape Peterson in Victoria (Australia). They used high-resolution (7.7 9 7.7 mm) DTM for this purpose.…”

Section: Discussionmentioning

confidence: 81%

UAV and SfM in Detailed Geomorphological Mapping of Granite Tors: An Example of Starościńskie Skały (Sudetes, SW Poland)

Kasprzak

Jancewicz

Michniewicz

2017

Pure Appl. Geophys.

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Abstract-The paper presents an example of using photographs taken by unmanned aerial vehicles (UAV) and processed using the structure from motion (SfM) procedure in a geomorphological study of rock relief. Subject to analysis is a small rock city in the West Sudetes (SW Poland), known as Starościńskie Skały and developed in coarse granite bedrock. The aims of this paper were, first, to compare UAV/SfM-derived data with the cartographical image based on the traditional geomorphological field-mapping methods and the digital elevation model derived from airborne laser scanning (ALS). Second, to test if the proposed combination of UAV and SfM methods may be helpful in recognizing the detailed structure of granite tors. As a result of conducted UAV flights and digital image post-processing in AgiSoft software, it was possible to obtain datasets (dense point cloud, texture model, orthophotomap, bare-ground-type digital terrain model-DTM) which allowed to visualize in detail the surface of the study area. In consequence, it was possible to distinguish even the very small forms of rock surface microrelief: joints, aplite veins, rills and karren, weathering pits, etc., otherwise difficult to map and measure. The study includes also valorization of particular datasets concerning microtopography and allows to discuss indisputable advantages of using the UAV/SfM-based DTM in geomorphic studies of tors and rock cities, even those located within forest as in the presented case study.

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“…With the advance of digital cameras, photogrammetry has been successfully applied in both laboratory assessments (Lee and Ahn, 2004;Fujii et al, 2007;Nilsson et al, 2012) and field measurements (Fujii et al, 2007;Haneberg, 2007;Bistacchi et al, 2011;Corradetti et al, 2017a) of fault and fracture wall roughness at different length scales. It has also been recently applied to surface tracking in analogue experiments (Heng et al, 2010;Galland et al, 2016), fold analysis (Vollgger and Cruden, 2016;Corradetti et al, 2017b), fault or fracture spatial analysis (Lato and V€ oge, 2012;Vollgger and Cruden, 2016), stratigraphy (Nieminski and Graham, 2017) and palaeontology (Lockley et al, 2016). Nowadays, thanks to the intensive development of computer technology and digital photography, photogrammetry has become an affordable and popular method of 3D imaging.…”

Section: Introductionmentioning

confidence: 99%

Focus stacking photogrammetry for micro‐scale roughness reconstruction: a methodological study

Olkowicz

Dąbrowski

Pluymakers

2019

The Photogrammetric Record

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In close‐range applications, it is unclear whether optical photogrammetry is capable of accurately reconstructing submillimetre‐scale roughness. This paper presents a study of fine‐scale rock fracture roughness measurements with a careful assessment of the error. The workflow combines the techniques of structure from motion with focus stacking, using consumer‐grade equipment and free or affordable software. The approach is tested firstly with synthetic data to check the influence of the number and position of cameras, object texture and image processing using focus stacking. Secondly, the optimised workflow is used to measure a natural shale rock fracture surface. To estimate the accuracy, the results were compared with a high‐precision reference dataset provided by white‐light interferometry. The standard deviation of error in the method is 6·5 μm, and is related with morphological structures with wavelengths below 150 μm and amplitudes smaller than 10 μm.

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Mapping folds and fractures in basement and cover rocks using UAV photogrammetry, Cape Liptrap and Cape Paterson, Victoria, Australia

Cited by 126 publications

References 55 publications

Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data

Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data

UAV and SfM in Detailed Geomorphological Mapping of Granite Tors: An Example of Starościńskie Skały (Sudetes, SW Poland)

Focus stacking photogrammetry for micro‐scale roughness reconstruction: a methodological study

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