2021
DOI: 10.5194/se-12-801-2021
|View full text |Cite
|
Sign up to set email alerts
|

Mapping and evaluating kinematics and the stress and strain field at active faults and fissures: a comparison between field and drone data at the NE rift, Mt Etna (Italy)

Abstract: Abstract. We collected drone data to quantify the kinematics at extensional fractures and normal faults, integrated this information with seismological data to reconstruct the stress field, and critically compared the results with previous fieldwork to assess the best practice. As a key site, we analyzed a sector of the northeast rift of Mt Etna, an area affected by continuous ground deformation linked to gravity sliding of the volcano's eastern flank and dike injections. The studied sector is characterized al… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

4
3

Authors

Journals

citations
Cited by 8 publications
(8 citation statements)
references
References 86 publications
0
8
0
Order By: Relevance
“…In fact, modelling of a virtual scene is a very important component of the application of VR technology in geohazard studies and education [67]. Thus, digital 3D models were used to reproduce landscapes vulnerable to geohazards such as landsliding [70][71][72], volcanic eruptions [7,8], and flooding [73,74], but also subject to technological hazards such as dam failing [75].…”
Section: Virtual Reality and Geohazardsmentioning
confidence: 99%
See 1 more Smart Citation
“…In fact, modelling of a virtual scene is a very important component of the application of VR technology in geohazard studies and education [67]. Thus, digital 3D models were used to reproduce landscapes vulnerable to geohazards such as landsliding [70][71][72], volcanic eruptions [7,8], and flooding [73,74], but also subject to technological hazards such as dam failing [75].…”
Section: Virtual Reality and Geohazardsmentioning
confidence: 99%
“…Virtual reality, capable of simulating real landscapes, has proven particularly useful in geomorphology and related subjects, in research, teaching, and professional training. Obvious targets are inaccessible or poorly accessible localities, such as submarine landscapes [3,4], planetary surfaces [5], high mountain environments [6], and places too dangerous to visit in person, such as sites of active volcanism [7,8]. The use of VR in education shows considerable growth in general [9,10], and teaching geomorphology is not an exception.…”
Section: Introductionmentioning
confidence: 99%
“…It is easily transportable in the field, and it can be flown at a very low altitude, thus allowing for a greater resolution and proving to be very helpful for capturing videos and pictures for building 3D models [36]. Moreover, it is also suitable for automatized flight missions, a feature that is especially useful for modeling wide areas (further details in Tibaldi et al [37]).…”
Section: Uav-based Filming and Virtual Geostop Buildingmentioning
confidence: 99%
“…They can be easily carried in the field and collect pictures flying at a very low height, resulting in a greater ground resolution and proving very useful for VGs reconstruction [71]. In addition, UAV2 is also designed for automatized flight missions, a peculiarity that is especially suitable for modeling large areas (further details in [72]). Generally speaking, the pictures collected using drones or cameras need to have a high overlap ratio, usually greater than 75-80% with the following pictures and must be orthogonally oriented to the target [73].…”
Section: Drone-based Image Collectionmentioning
confidence: 99%
“…An additional marker needs to be positioned in the centre; this procedure aimed at reducing any "doming" effects resulting from photogrammetry modeling. More details regarding our workflow are in [54,68,72]. As explained in the previous section, some models are derived from previous work.…”
Section: Photogrammetry Processing For 3d Model Buildingmentioning
confidence: 99%