Detailed structural analysis of digital outcrops: A learning example from the Kermanshah-Qulqula radiolarite basin, Zagros Belt, Iran

Cawood, Adam J.; Corradetti, Amerigo; Granado, Pablo; Tavani, Stefano

doi:10.1016/j.jsg.2021.104489

Cited by 10 publications

(5 citation statements)

References 43 publications

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“…This procedure finds considerable applications in structural geology, stratigraphy, geoarchaeology and geomorphology, as well as other earth science disciplines, where orthomosaics are generated by orthogonally projecting the model towards a direction that minimizes geometry distortion of the targeted features observable in the model (e.g., geologic structures, bedding planes, clasts, etc. [75][76][77]). In the case of the three SfM models, the orthomosaic construction is a trivial additional step in the SfM-MVS reconstruction workflow, available within photogrammetric reconstruction software tools (e.g., Metashape [73]).…”

Section: Orthopanelsmentioning

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: Orthopanelsmentioning

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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“…These developments act as a complement to classical fieldwork approaches, providing a means to efficiently extract quantitative data from rock exposures (Xu et al, 2000;Fernández et al, 2004;Bellian et al, 2005;Pavlis et al, 2010;Bistacchi et al, 2011;Vasuki et al, 2014;De Paor, 2016;Pavlis and Mason, 2017;Corradetti et al, 2021a;Seers et al, 2021). Moreover, such technologies represent valuable tools to improve the accessibility of outcrop data within geoscience education (Carbonell Carrera and Bermejo Asensio, 2017;Whitmeyer et al, 2020;Cawood et al, 2022), and have become instrumental towards the delivery of field courses during the COVID-19 global pandemic crisis (e.g. Tavani et al, 2020a;Bond and Cawood, 2021).…”

Section: Introductionmentioning

confidence: 99%

Smartphone assisted fieldwork: Towards the digital transition of geoscience fieldwork using LiDAR-equipped iPhones

Tavani

Billi

Corradetti

et al. 2022

Earth-Science Reviews

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“…In addition, virtual outcrop models are a very effective way to document and preserve outcrops (Burnham et al, 2022;Corradetti et al, 2022), which could be modified or even destroyed by natural or anthropic causes and therefore hold great potential for geological cultural heritage preservation and geoscience in general. Moreover, virtual outcrop models represent the milieus for augmented accessibility, inclusivity, and scientific reproducibility (Burnham et al, 2022;Cawood et al, 2022) as well as to deliver virtual field trips (Cliffe, 2017;Pugsley et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Biostratigraphic investigations assisted by virtual outcrop modeling: a case study from an Eocene shallow-water carbonate succession (Val Rosandra gorge, Trieste, NE Italy)

Consorti,

Corradetti,

Hadi

et al. 2024

IJG

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Virtual outcrop modeling has emerged as a tool for supporting geological field activities such as geological mapping and stratigraphic investigations. Here we show how this technique can be used to support the detailed stratigraphic logging and sampling with a case history from the Eocene carbonate platform succession exposed in the Val Rosandra gorge, in the vicinity of the city of Trieste, NE Italy. The biostratigraphic analysis highlighted the occurrence of Shallow Benthic zones (SBZ) 10 to 12 and the planktonic zones E7/E8. An upwards-deepening trend, from inner platform to a hemipelagic domain, is observed through the studied stratigraphic interval and is in accordance with the vertical evolution recorded in other Eocene successions of the Adriatic Carbonate Platform. Aerial drone imaging was used to produce a virtual outcrop model of the studied succession that provided a highresolution geometrical framework for field measurements, sample geotagging and observations. For instance, the virtual outcrop model assisted in determining the true thickness of beds, a task that can be subject to significant imprecisions when measurements are taken by hand. Ultimately, the integration of virtual outcrop modeling with classical sampling and measuring methods resulted in accurate stratimetry and in the precise spatial positioning of samples that were taken for biostratigraphy and facies characterization.

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Detailed structural analysis of digital outcrops: A learning example from the Kermanshah-Qulqula radiolarite basin, Zagros Belt, Iran

Cited by 10 publications

References 43 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

Smartphone assisted fieldwork: Towards the digital transition of geoscience fieldwork using LiDAR-equipped iPhones

Biostratigraphic investigations assisted by virtual outcrop modeling: a case study from an Eocene shallow-water carbonate succession (Val Rosandra gorge, Trieste, NE Italy)

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