Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments

Structure from Motion–Multi-View Stereo (SfM-MVS) is a relatively new technique that is being adopted in the analysis of sedimentary systems. The technique is especially applicable to studies which focus on the distribution, geometry and quantification of geological bodies including the analysis of...

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Autores principales: Bilmes, Andrés, D'Elia, Leandro, Varela, Augusto Nicolás, Álvarez, María del Pilar, Eymard, Inès Pauline Marie, Richiano, Sebastián Miguel, Franzese, Juan Rafael, Muravchick, Martín, Bucher, Joaquín, Ariztegui, Daniel, López, Luciano
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2021
Materias:
Geología
https://purl.org/becyt/ford/1.5
Virtual outcrops
High-resolution digital terrain models
Acquisition
Validation
Virtual analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124802
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-124802
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Geología
https://purl.org/becyt/ford/1.5
Virtual outcrops
High-resolution digital terrain models
Acquisition
Validation
Virtual analysis
spellingShingle Geología
https://purl.org/becyt/ford/1.5
Virtual outcrops
High-resolution digital terrain models
Acquisition
Validation
Virtual analysis
Bilmes, Andrés
D'Elia, Leandro
Varela, Augusto Nicolás
Álvarez, María del Pilar
Eymard, Inès Pauline Marie
Richiano, Sebastián Miguel
Franzese, Juan Rafael
Muravchick, Martín
Bucher, Joaquín
Ariztegui, Daniel
López, Luciano
Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
topic_facet Geología
https://purl.org/becyt/ford/1.5
Virtual outcrops
High-resolution digital terrain models
Acquisition
Validation
Virtual analysis
description Structure from Motion–Multi-View Stereo (SfM-MVS) is a relatively new technique that is being adopted in the analysis of sedimentary systems. The technique is especially applicable to studies which focus on the distribution, geometry and quantification of geological bodies including the analysis of sedimentary forms and tectonic structures. This photogrammetric method allows for generating virtual outcrops (VO) and high-resolution digital terrain models (DTMs). In comparison with more sophisticated and expensive techniques such as airborne LiDAR scanning or terrestrial laser scanning, SfM-MVS is a fast low-cost method which with careful use of ground control points, can produce models which are comparable to other digital survey methods for spatial accuracy. In this study, the effectiveness of SfM-MVS in a series of quantitative case studies in sedimentary and basin analyses is discussed. Focus is placed on how the research questions define the workflow strategy to know the limitations, sources of error and potential utility that the SFM-MVS technique has when a virtual sedimentary system is interpreted. Three case studies of different sedimentary environments, previously analyzed with traditional fieldwork techniques, were selected and re-analyzed. For each case study the objective was to resolve quantitative questions that were not possible to determine without the use of VO or DTMs. Questions include: (i) geometrical restoration of a growth strata succession associated with thrust systems; (ii) stacking patterns of littoral ridges during a relative sea-level fall after the Holocene climatic optimum; and (iii) quantification of lake level fall during the past 44 years of a closed lake basin. The results of the work show that the technique has significant application in the analysis of sedimentary systems. However, since geological interpretations depend on the quality of the models that are generated, planning and construction of the VO or DEMs along with their validation are essential to ensure reliable results.
format Conjunto de datos
Conjunto de datos
author Bilmes, Andrés
D'Elia, Leandro
Varela, Augusto Nicolás
Álvarez, María del Pilar
Eymard, Inès Pauline Marie
Richiano, Sebastián Miguel
Franzese, Juan Rafael
Muravchick, Martín
Bucher, Joaquín
Ariztegui, Daniel
López, Luciano
author_facet Bilmes, Andrés
D'Elia, Leandro
Varela, Augusto Nicolás
Álvarez, María del Pilar
Eymard, Inès Pauline Marie
Richiano, Sebastián Miguel
Franzese, Juan Rafael
Muravchick, Martín
Bucher, Joaquín
Ariztegui, Daniel
López, Luciano
author_sort Bilmes, Andrés
title Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
title_short Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
title_full Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
title_fullStr Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
title_full_unstemmed Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
title_sort data for: digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/124802
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spelling I19-R120-10915-1248022023-04-27T15:09:32Z http://sedici.unlp.edu.ar/handle/10915/124802 Data for: Digital outcrop modelling using “structure-from- motion” photogrammetry: acquisition strategies, validation and interpretations to different sedimentary environments Bilmes, Andrés D'Elia, Leandro Varela, Augusto Nicolás Álvarez, María del Pilar Eymard, Inès Pauline Marie Richiano, Sebastián Miguel Franzese, Juan Rafael Muravchick, Martín Bucher, Joaquín Ariztegui, Daniel López, Luciano 2021-09-14T17:22:46Z 2019-08-31 en Geología https://purl.org/becyt/ford/1.5 Virtual outcrops High-resolution digital terrain models Acquisition Validation Virtual analysis Structure from Motion–Multi-View Stereo (SfM-MVS) is a relatively new technique that is being adopted in the analysis of sedimentary systems. The technique is especially applicable to studies which focus on the distribution, geometry and quantification of geological bodies including the analysis of sedimentary forms and tectonic structures. This photogrammetric method allows for generating virtual outcrops (VO) and high-resolution digital terrain models (DTMs). In comparison with more sophisticated and expensive techniques such as airborne LiDAR scanning or terrestrial laser scanning, SfM-MVS is a fast low-cost method which with careful use of ground control points, can produce models which are comparable to other digital survey methods for spatial accuracy. In this study, the effectiveness of SfM-MVS in a series of quantitative case studies in sedimentary and basin analyses is discussed. Focus is placed on how the research questions define the workflow strategy to know the limitations, sources of error and potential utility that the SFM-MVS technique has when a virtual sedimentary system is interpreted. Three case studies of different sedimentary environments, previously analyzed with traditional fieldwork techniques, were selected and re-analyzed. For each case study the objective was to resolve quantitative questions that were not possible to determine without the use of VO or DTMs. Questions include: (i) geometrical restoration of a growth strata succession associated with thrust systems; (ii) stacking patterns of littoral ridges during a relative sea-level fall after the Holocene climatic optimum; and (iii) quantification of lake level fall during the past 44 years of a closed lake basin. The results of the work show that the technique has significant application in the analysis of sedimentary systems. However, since geological interpretations depend on the quality of the models that are generated, planning and construction of the VO or DEMs along with their validation are essential to ensure reliable results. Fil: Álvarez, María del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina. Fil: Bilmes, Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico. Instituto de Geología y Paleontología; Argentina. Fil: Bucher, Joaquín. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Investigaciones Geológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: D'Elia, Leandro. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Investigaciones Geológicas; Argentina. Fil: Franzese, Juan Rafael. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Investigaciones Geológicas; Argentina. Fil: López, Luciano. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Recursos Minerales. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Recursos Minerales; Argentina. Fil: López, Luciano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Richiano, Sebastián Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Geología y Paleontología; Argentina Fil: Varela, Augusto Nicolás. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Cátedra de Micromorfología de Suelos; Argentina. YPF - Tecnología; Argentina. Fil: Varela, Augusto Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Centro de Investigaciones Geológicas Conjunto de datos Conjunto de datos http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) application/zip

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