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Integration of remote sensing and offshore geophysical data for monitoring the short-term morphological evolution of an active volcanic flank

Authors :
Daniele Casalbore
Federico Di Traglia
Claudia Romagnoli
Massimiliano Favalli
Teresa Gracchi
Carlo Tacconi Stefanelli
Teresa Nolesini
Guglielmo Rossi
Matteo Del Soldato
Irene Manzella
Paul Cole
Nicola Casagli
Francesco Latino Chiocci
Casalbore, D
Di Traglia, F
Romagnoli, C
Favalli, M
Gracchi, T
Stefanelli, CT
Nolesini, T
Rossi, G
Del Soldato, M
Manzella, I
Cole, P
Casagli, N
Chiocci, FL
Department of Applied Earth Sciences
UT-I-ITC-4DEarth
Faculty of Geo-Information Science and Earth Observation
Source :
Remote sensing, 14(18):4605. MDPI, Remote Sensing, Volume 14, Issue 18, Pages: 4605
Publication Year :
2022

Abstract

The Sciara del Fuoco (SdF) collapse scar at Stromboli is an active volcanic area affected by rapid morphological changes due to explosive/effusive eruptions and mass-wasting processes. The aim of this paper is to demonstrate the importance of an integrated analysis of multi-temporal remote sensing (photogrammetry, COSMO-SkyMed Synthetic Aperture Radar amplitude image) and marine geophysical data (multibeam and side scan sonar data) to characterize the main morphological, textural, and volumetric changes that occurred along the SdF slope in the 2020–2021 period. The analysis showed the marked erosive potential of the 19 May 2021 pyroclastic density current generated by a crater rim collapse, which mobilized a minimum volume of 44,000 m3 in the upper Sciara del Fuoco slope and eroded 350,000–400,000 m3 of material just considering the shallow-water setting. The analysis allowed us also to constrain the main factors controlling the emplacement of different lava flows and overflows during the monitored period. Despite the morphological continuity between the subaerial and submarine slope, textural variations in the SdF primarily depend on different processes and characteristics of the subaerial slope, the coastal area, the nearshore, and “deeper” marine areas.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
18
Database :
OpenAIRE
Journal :
Remote sensing
Accession number :
edsair.doi.dedup.....de4b7b3fd571610d0a2f34945994c6e1