Cross-strata palaeocurrent analysis using virtual outcrops
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1111/sed.12855 http://hdl.handle.net/11449/207596 |
Resumo: | 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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Cross-strata palaeocurrent analysis using virtual outcrops3D photogrammetrycross-stratadigital outcrop model (DOM)RPAStructure from MotionUAVAlthough 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.Geology Lab School of Technology University of Campinas, Rua Paschoal Marmo, 1888, Jardim Nova ItáliaInstitute of Geosciences University of São Paulo, Rua do Lago, 562, Cidade UniversitáriaInstitute of Marine Science São Paulo Federal University, Rua Carvalho de Mendonça, 144, EncruzilhadaDepartamento de Geologia (DGEOL) / Programa de Pós-graduação em Geociências e Análise de Bacias Universidade Federal de Sergipe, Marechal Rondon Ave., Geology Bldg., Multi-user Complex, Rosa ElzeDepartamento de Geologia Aplicada Instituto de Geociências e Ciências Exatas Universidade Estadual Paulista/UNESP, Avenida 24-A, Bela Vista, 178Departamento de Geologia Aplicada Instituto de Geociências e Ciências Exatas Universidade Estadual Paulista/UNESP, Avenida 24-A, Bela Vista, 178Universidade Estadual de Campinas (UNICAMP)Universidade de São Paulo (USP)São Paulo Federal UniversityUniversidade Federal de Sergipe (UFS)Universidade Estadual Paulista (Unesp)Freitas, Bernardo T.Silva, Leonardo H. G.Almeida, Renato P.Galeazzi, Cristiano P.Figueiredo, Heitor G.Tamura, Larissa N.Janikian, LilianeFigueiredo, Felipe T.Assine, Mario L. [UNESP]2021-06-25T10:57:53Z2021-06-25T10:57:53Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1111/sed.12855Sedimentology.1365-30910037-0746http://hdl.handle.net/11449/20759610.1111/sed.128552-s2.0-85104072255Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSedimentologyinfo:eu-repo/semantics/openAccess2021-10-23T17:37:41Zoai:repositorio.unesp.br:11449/207596Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:44:27.126270Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Cross-strata palaeocurrent analysis using virtual outcrops |
title |
Cross-strata palaeocurrent analysis using virtual outcrops |
spellingShingle |
Cross-strata palaeocurrent analysis using virtual outcrops Freitas, Bernardo T. 3D photogrammetry cross-strata digital outcrop model (DOM) RPA Structure from Motion UAV |
title_short |
Cross-strata palaeocurrent analysis using virtual outcrops |
title_full |
Cross-strata palaeocurrent analysis using virtual outcrops |
title_fullStr |
Cross-strata palaeocurrent analysis using virtual outcrops |
title_full_unstemmed |
Cross-strata palaeocurrent analysis using virtual outcrops |
title_sort |
Cross-strata palaeocurrent analysis using virtual outcrops |
author |
Freitas, Bernardo T. |
author_facet |
Freitas, Bernardo T. Silva, Leonardo H. G. Almeida, Renato P. Galeazzi, Cristiano P. Figueiredo, Heitor G. Tamura, Larissa N. Janikian, Liliane Figueiredo, Felipe T. Assine, Mario L. [UNESP] |
author_role |
author |
author2 |
Silva, Leonardo H. G. Almeida, Renato P. Galeazzi, Cristiano P. Figueiredo, Heitor G. Tamura, Larissa N. Janikian, Liliane Figueiredo, Felipe T. Assine, Mario L. [UNESP] |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade de São Paulo (USP) São Paulo Federal University Universidade Federal de Sergipe (UFS) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Freitas, Bernardo T. Silva, Leonardo H. G. Almeida, Renato P. Galeazzi, Cristiano P. Figueiredo, Heitor G. Tamura, Larissa N. Janikian, Liliane Figueiredo, Felipe T. Assine, Mario L. [UNESP] |
dc.subject.por.fl_str_mv |
3D photogrammetry cross-strata digital outcrop model (DOM) RPA Structure from Motion UAV |
topic |
3D photogrammetry cross-strata digital outcrop model (DOM) RPA Structure from Motion UAV |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:57:53Z 2021-06-25T10:57:53Z 2021-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/sed.12855 Sedimentology. 1365-3091 0037-0746 http://hdl.handle.net/11449/207596 10.1111/sed.12855 2-s2.0-85104072255 |
url |
http://dx.doi.org/10.1111/sed.12855 http://hdl.handle.net/11449/207596 |
identifier_str_mv |
Sedimentology. 1365-3091 0037-0746 10.1111/sed.12855 2-s2.0-85104072255 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sedimentology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129111162355712 |