High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures

Detalhes bibliográficos
Autor(a) principal: MOREIRA,JULIO A.
Data de Publicação: 2021
Outros Autores: OLIVEIRA,FABRICIA B. DE, OLIVEIRA,CARLOS H.R. DE, FIGUEIREDO,ALVARO C., FILHO,MAURO C.L., DUARTE,EDUARDO B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000501101
Resumo: Abstract Due to the recent technological progress, Unmanned Aerial Vehicles (UAV), is an alternative for the high-resolution imaging of the terrestrial surface, helping map lineaments, essential structures on the stage of geological mapping. Therefore, this research aims to accomplish and to confirm the efficiency of the use of UAV high-resolution imaging for semi-automatic lineament mapping, in a shear zone in Guaçuí/ES. Orthomosaic was created from the UAV imaging, in which the LINE algorithm was used from Geomath PCI software for the semi-automatic mapping of lineaments. In addition, a manual lineament mapping was performed on the orthomosaic for comparison purposes, and a shaded relief image was made up of Azimuth 135° and Elevation 45°, from the SRTM data, followed by manual lineament mapping for a regional vision of the studied area. On the semi-automatic and manual extraction on the orthomosaic and shaded relief image, 61.30%, 61.63%, 57.38% of the lineaments, respectively, have NW-SE direction, showing a really strong correlation. Therefore, the semi-automatic mapping is extremely effective in terms of structural trends acquisition and can provide fine-scale data for the assessment of inaccessible areas.
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spelling High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structuresgeological mappinggeotechnologiesstructural geologyremote sensingAbstract Due to the recent technological progress, Unmanned Aerial Vehicles (UAV), is an alternative for the high-resolution imaging of the terrestrial surface, helping map lineaments, essential structures on the stage of geological mapping. Therefore, this research aims to accomplish and to confirm the efficiency of the use of UAV high-resolution imaging for semi-automatic lineament mapping, in a shear zone in Guaçuí/ES. Orthomosaic was created from the UAV imaging, in which the LINE algorithm was used from Geomath PCI software for the semi-automatic mapping of lineaments. In addition, a manual lineament mapping was performed on the orthomosaic for comparison purposes, and a shaded relief image was made up of Azimuth 135° and Elevation 45°, from the SRTM data, followed by manual lineament mapping for a regional vision of the studied area. On the semi-automatic and manual extraction on the orthomosaic and shaded relief image, 61.30%, 61.63%, 57.38% of the lineaments, respectively, have NW-SE direction, showing a really strong correlation. Therefore, the semi-automatic mapping is extremely effective in terms of structural trends acquisition and can provide fine-scale data for the assessment of inaccessible areas.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000501101Anais da Academia Brasileira de Ciências v.93 n.3 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120191416info:eu-repo/semantics/openAccessMOREIRA,JULIO A.OLIVEIRA,FABRICIA B. DEOLIVEIRA,CARLOS H.R. DEFIGUEIREDO,ALVARO C.FILHO,MAURO C.L.DUARTE,EDUARDO B.eng2021-06-11T00:00:00Zoai:scielo:S0001-37652021000501101Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-06-11T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
title High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
spellingShingle High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
MOREIRA,JULIO A.
geological mapping
geotechnologies
structural geology
remote sensing
title_short High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
title_full High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
title_fullStr High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
title_full_unstemmed High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
title_sort High-resolution semi-automatic mapping based on an Unmanned Aerial Vehicle (UAV) to capture geological structures
author MOREIRA,JULIO A.
author_facet MOREIRA,JULIO A.
OLIVEIRA,FABRICIA B. DE
OLIVEIRA,CARLOS H.R. DE
FIGUEIREDO,ALVARO C.
FILHO,MAURO C.L.
DUARTE,EDUARDO B.
author_role author
author2 OLIVEIRA,FABRICIA B. DE
OLIVEIRA,CARLOS H.R. DE
FIGUEIREDO,ALVARO C.
FILHO,MAURO C.L.
DUARTE,EDUARDO B.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv MOREIRA,JULIO A.
OLIVEIRA,FABRICIA B. DE
OLIVEIRA,CARLOS H.R. DE
FIGUEIREDO,ALVARO C.
FILHO,MAURO C.L.
DUARTE,EDUARDO B.
dc.subject.por.fl_str_mv geological mapping
geotechnologies
structural geology
remote sensing
topic geological mapping
geotechnologies
structural geology
remote sensing
description Abstract Due to the recent technological progress, Unmanned Aerial Vehicles (UAV), is an alternative for the high-resolution imaging of the terrestrial surface, helping map lineaments, essential structures on the stage of geological mapping. Therefore, this research aims to accomplish and to confirm the efficiency of the use of UAV high-resolution imaging for semi-automatic lineament mapping, in a shear zone in Guaçuí/ES. Orthomosaic was created from the UAV imaging, in which the LINE algorithm was used from Geomath PCI software for the semi-automatic mapping of lineaments. In addition, a manual lineament mapping was performed on the orthomosaic for comparison purposes, and a shaded relief image was made up of Azimuth 135° and Elevation 45°, from the SRTM data, followed by manual lineament mapping for a regional vision of the studied area. On the semi-automatic and manual extraction on the orthomosaic and shaded relief image, 61.30%, 61.63%, 57.38% of the lineaments, respectively, have NW-SE direction, showing a really strong correlation. Therefore, the semi-automatic mapping is extremely effective in terms of structural trends acquisition and can provide fine-scale data for the assessment of inaccessible areas.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120191416
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dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 n.3 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
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