Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry

In the present work, we demonstrate how drone surveys coupled with structure-from-motion (SfM) photogrammetry can help to collect huge amounts of very detailed data even in rough terrains where logistics can affect classical field surveys. The area of study is located in the NW part of the Krafla Fi...

Full description

Bibliographic Details
Published in:Applied Sciences
Main Authors: Fabio Luca Bonali, Alessandro Tibaldi, Noemi Corti, Luca Fallati, Elena Russo
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
T
Online Access:https://doi.org/10.3390/app10196759
https://doaj.org/article/fc5e077af388401aa6eaccff8f7747c4
id ftdoajarticles:oai:doaj.org/article:fc5e077af388401aa6eaccff8f7747c4
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:fc5e077af388401aa6eaccff8f7747c4 2023-05-15T16:47:32+02:00 Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry Fabio Luca Bonali Alessandro Tibaldi Noemi Corti Luca Fallati Elena Russo 2020-09-01T00:00:00Z https://doi.org/10.3390/app10196759 https://doaj.org/article/fc5e077af388401aa6eaccff8f7747c4 EN eng MDPI AG https://www.mdpi.com/2076-3417/10/19/6759 https://doaj.org/toc/2076-3417 doi:10.3390/app10196759 2076-3417 https://doaj.org/article/fc5e077af388401aa6eaccff8f7747c4 Applied Sciences, Vol 10, Iss 6759, p 6759 (2020) structure from motion photogrammetry rift Iceland normal faults Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 article 2020 ftdoajarticles https://doi.org/10.3390/app10196759 2022-12-31T14:21:22Z In the present work, we demonstrate how drone surveys coupled with structure-from-motion (SfM) photogrammetry can help to collect huge amounts of very detailed data even in rough terrains where logistics can affect classical field surveys. The area of study is located in the NW part of the Krafla Fissure Swarm (NE Iceland), a volcanotectonic rift composed of eruptive centres, extension fractures, and normal faults. The surveyed sector is characterized by the presence of a hyaloclastite ridge composed of deposits dated, on a stratigraphic basis, to the Weichselian High Glacial (29.1–12.1 ka BP), and a series of lava flows mostly dating back to 11–12 ka BP. The integration of remotely sensed surveys and field inspections enabled us to recognize that this segment of the Krafla rift is made of grabens arranged en-échelon with a left-stepping geometry. A major graben increases in width in correspondence of the hyaloclastite cone; we interpret this geometry as resulting from the mechanical contrast between the stiffer lava succession and the softer hyaloclastites, which favours the development of concentric faults. We also measured a total extension of 16.6 m and 11.2 m along the fractures affecting the lava units, and a total extension in the hyaloclastites of 29.3 m. This produces an extension rate of 1.4 mm/yr in the Holocene lavas and 1.7 ± 0.7 mm/yr in the Weichselian hyaloclastite deposits. The spreading direction we obtained for this area is N97.7° E, resulting from the av. of 568 opening direction values. Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles Krafla ENVELOPE(-16.747,-16.747,65.713,65.713) Applied Sciences 10 19 6759
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic structure from motion
photogrammetry
rift
Iceland
normal faults
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle structure from motion
photogrammetry
rift
Iceland
normal faults
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Fabio Luca Bonali
Alessandro Tibaldi
Noemi Corti
Luca Fallati
Elena Russo
Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
topic_facet structure from motion
photogrammetry
rift
Iceland
normal faults
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
description In the present work, we demonstrate how drone surveys coupled with structure-from-motion (SfM) photogrammetry can help to collect huge amounts of very detailed data even in rough terrains where logistics can affect classical field surveys. The area of study is located in the NW part of the Krafla Fissure Swarm (NE Iceland), a volcanotectonic rift composed of eruptive centres, extension fractures, and normal faults. The surveyed sector is characterized by the presence of a hyaloclastite ridge composed of deposits dated, on a stratigraphic basis, to the Weichselian High Glacial (29.1–12.1 ka BP), and a series of lava flows mostly dating back to 11–12 ka BP. The integration of remotely sensed surveys and field inspections enabled us to recognize that this segment of the Krafla rift is made of grabens arranged en-échelon with a left-stepping geometry. A major graben increases in width in correspondence of the hyaloclastite cone; we interpret this geometry as resulting from the mechanical contrast between the stiffer lava succession and the softer hyaloclastites, which favours the development of concentric faults. We also measured a total extension of 16.6 m and 11.2 m along the fractures affecting the lava units, and a total extension in the hyaloclastites of 29.3 m. This produces an extension rate of 1.4 mm/yr in the Holocene lavas and 1.7 ± 0.7 mm/yr in the Weichselian hyaloclastite deposits. The spreading direction we obtained for this area is N97.7° E, resulting from the av. of 568 opening direction values.
format Article in Journal/Newspaper
author Fabio Luca Bonali
Alessandro Tibaldi
Noemi Corti
Luca Fallati
Elena Russo
author_facet Fabio Luca Bonali
Alessandro Tibaldi
Noemi Corti
Luca Fallati
Elena Russo
author_sort Fabio Luca Bonali
title Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
title_short Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
title_full Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
title_fullStr Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
title_full_unstemmed Reconstruction of Late Pleistocene-Holocene Deformation through Massive Data Collection at Krafla Rift (NE Iceland) Owing to Drone-Based Structure-from-Motion Photogrammetry
title_sort reconstruction of late pleistocene-holocene deformation through massive data collection at krafla rift (ne iceland) owing to drone-based structure-from-motion photogrammetry
publisher MDPI AG
publishDate 2020
url https://doi.org/10.3390/app10196759
https://doaj.org/article/fc5e077af388401aa6eaccff8f7747c4
long_lat ENVELOPE(-16.747,-16.747,65.713,65.713)
geographic Krafla
geographic_facet Krafla
genre Iceland
genre_facet Iceland
op_source Applied Sciences, Vol 10, Iss 6759, p 6759 (2020)
op_relation https://www.mdpi.com/2076-3417/10/19/6759
https://doaj.org/toc/2076-3417
doi:10.3390/app10196759
2076-3417
https://doaj.org/article/fc5e077af388401aa6eaccff8f7747c4
op_doi https://doi.org/10.3390/app10196759
container_title Applied Sciences
container_volume 10
container_issue 19
container_start_page 6759
_version_ 1766037620249329664