Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil

Viana, Camila Duelis; Grohmann, Carlos Henrique; Busarello, Mariana Dos Santos Toledo; Garcia, Guilherme Pereira Bento

doi:10.1590/2317-4889201800201898

Cited by 12 publications

(4 citation statements)

References 56 publications

(62 reference statements)

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“…For details of the processes and algorithms involved in the construction of 3D digital models, the reader is referred to Brown & Lowe (2005); James & Robson (2012) and Viana et al . (2018).…”

Section: Methodsmentioning

confidence: 99%

“…For discussions on advantages and disadvantages of different SfM-MVS-based software the reader is referred to Micheletti et al (2015), Smith et al (2016), Schwind & Starek (2017), Barbasiewicz et al (2018) and Fleming & Pavlis (2018). For details of the processes and algorithms involved in the construction of 3D digital models, the reader is referred to Brown & Lowe (2005); James & Robson (2012) and Viana et al (2018).…”

Section: Processing Of Virtual Outcropsmentioning

confidence: 99%

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Cross‐strata palaeocurrent analysis using virtual outcrops

et al. 2021

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Although virtual outcrops or digital outcrop model applications in geological studies are becoming increasingly common, virtually no attention has been given to acquisition of palaeocurrent data from cross-strata. Palaeocurrent indicators are abundant in the sedimentary record, mainly as cross-strata, and present compelling implications for basin analysis, plate tectonics and palaeoenvironmental reconstructions, as well as for sediment transport systems. Palaeocurrents from cross-strata also comprise a quantifiable parameter in sedimentary successions that can be used in quantitative modelling of depositional architecture with implications for reservoir characterization through outcrop analogue studies. A common obstacle in obtaining large cross-strata orientation datasets is the limited access to steep and high outcrop faces, as well as financial and time restrictions on field work. To overcome these issues, the simplest workflow for drone-based acquisition, photogrammetric processing and analysis of virtual outcrops aiming at the attainment of palaeocurrent data from cross-strata is appraised here. The results show that orientations of cross-beds measured on virtual outcrops, with and without ground control points, and using two different levels of resolution downsampling, are comparable to field measurements using analogue and electronic devices. Time and financial resources can thus be saved by using the straightforward method presented here to supplement palaeocurrent mapping across wide areas and distinct stratigraphic intervals.

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Section: Methodsmentioning

confidence: 99%

Section: Processing Of Virtual Outcropsmentioning

confidence: 99%

Cross‐strata palaeocurrent analysis using virtual outcrops

et al. 2021

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“…O processamento das fotografias aéreas para a geração do MDE e do MVA da mina foi realizado utilizando o software Agisoft Metashape, e segue o fluxo de trabalho SfM-MVS (Tavani et al, 2014;Carrivick et al, 2016;Tavani et al, 2016;Cawood et al, 2017;Viana et al, 2018). Uma explicação detalhada dos parâmetros e algoritmos envolvidos é compreensivamente abordada em Agisoft LLC (2019).…”

Section: Processamento De Imagensunclassified

Modelagem Geológica Implícita em Mina de Mármore no Complexo Metamórfico Passo Feio, Rio Grande do Sul, Brasil

et al. 2020

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“…The SfM-MVS workflow (e.g., Westoby et al, 2012;Viana et al, 2018;James et al, 2019) was processed in Agisoft Metashape Pro version 1.5.1 4 . In the SfM step, images were aligned with 'High' accuracy; the MVS reconstruction was set to 'High' quality and 'aggressive' depth filtering.…”

Section: Sfm-mvsmentioning

confidence: 99%

Aeolian dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo

Grohmann,

Garcia,

Affonso

et al. 2019

Preprint

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In this work, we present an analysis of dune migration and volume change of the Garopaba dune field, southern Brazil, based on data from Airborne LiDAR (ALS -surveyed in 2010) and Structure from Motion-Multi View Stereo (SfM-MVS -surveyed in 2019). The accuracy of the SfM-MVS reconstruction was validated by a comparison between Terrestrial LiDAR (TLS) and SfM-MVS Digital Elevation Models (DEMs). Elevation differences of 2 000 random points resulted in RMSE of 0.16 m and MAE of 0.13 m, with SfM-MVS elevations slightly higher than the TLS ones. Although sand dunes are commonly regarded as a challenge to traditional photogrammetry due their homogeneous texture and spectral response, in this research image matching was successful in all areas of the survey due the presence of superficial features (footprints and sandboard tracks) and visibility of the sedimentary stratification, highlighted by heavy minerals. Displacement of dune crest lines from the ALS and SfM-MVS DEMs resulted in a migration rate of ≈5 m/year between 2010 and 2019, in good agreement with rates derived from satellite images and historical aerial photographs of the same area. Sand volume change in the same period showed an increase of only 0.5%, which can be related to the installation of sand fences to promote dune stabilization and sand removal from the front of the dune field to keep a road open to vehicles. ALS can cover large areas in little time but its high cost still remains a barrier to wider usage, especially by researchers in developing countries. TLS has an intermediate cost but demands more fieldwork and more processing time. In our case we needed three days for the TLS survey and around three weeks to produce a DEM of ≈80 400m 2 . On the other hand, we were able to cover ≈740 900m 2 with six flight missions in under three hours, with ≈13 hours processing time in a medium-range workstation. This makes SfM-MVS a low-cost solution with fast and reliable results for 3D modelling and continuous monitoring of coastal dunes.

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Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil

Cited by 12 publications

References 56 publications

Cross‐strata palaeocurrent analysis using virtual outcrops

Cross‐strata palaeocurrent analysis using virtual outcrops

Modelagem Geológica Implícita em Mina de Mármore no Complexo Metamórfico Passo Feio, Rio Grande do Sul, Brasil

Aeolian dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion-Multi View Stereo

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