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Cited by 717

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Ground-based and UAV-Based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology

Open access
Bemis, Sean P., Micklethwaite, Steven, Turner, Darren, James, Mike R., Akciz, Sinan, Thiele, Sam T., Bangash, Hasnain Ali·2014·Journal of Structural Geology

Abstract

This contribution reviews the use of modern 3D photo-based surface reconstruction techniques for high fidelity surveys of trenches, rock exposures and hand specimens to highlight their potential for paleoseismology and structural geology. We outline the general approach to data acquisition and processing using ground-based photographs acquired from standard DSLR cameras, and illustrate the use of similar processing approaches on imagery from Unmanned Aerial Vehicles (UAVs). It is shown that digital map and trench data can be acquired at ultra-high resolution and in much shorter time intervals than would be normally achievable through conventional grid mapping. The resulting point clouds and textured models are inherently multidimensional (x, y, z, point orientation, colour, texture), archival and easily transformed into orthorectified photomosaics or digital elevation models (DEMs). We provide some examples for the use of such techniques in structural geology and paleoseismology while pointing the interested reader to free and commercial software packages for data processing, visualization and 3D interpretation. Photogrammetric models serve to act as an ideal electronic repository for critical outcrops and observations, similar to the electronic lab book approach employed in the biosciences. This paper also highlights future possibilities for rapid semi-automatic to automatic interpretation of the data and advances in technology.

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Crossref · 10.1016/j.jsg.2014.10.007

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Metadata

Authors
Bemis, S. P., Micklethwaite, S., Turner, D., James, M. R., Akciz, S., Thiele, S. T., & Bangash, H. A.
Venue
Journal of Structural Geology
Publisher
Elsevier BV
Published
2014-12
Volume
69
Pages
163-178
ISSN
0191-8141 (ISSN-L)
OpenAlex
W2088331957
Cited by
717
References
38
FWCI
54.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Ground-based and UAV-Based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology. https://app.cochat.ai/papers/10.1016/j.jsg.2014.10.007
The paper
Bemis, S. P., Micklethwaite, S., Turner, D., James, M. R., Akciz, S., Thiele, S. T., & Bangash, H. A. (2014). Ground-based and UAV-Based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology. Journal of Structural Geology. https://doi.org/10.1016/j.jsg.2014.10.007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.