Casagli, N.

Ciampalini, A.

Di Traglia, F.

Frodella, W.

Nolesini, T.

Solari, L.

English

Florence Research

Geophysical Research AbstractsVol. 20, EGU2018-3388-1, 2018EGU General Assembly 2018© Author(s) 2018. CC Attribution 4.0 license.Monitoring high geomorphologic dynamics and slope instability atStromboli volcanoTeresa Nolesini (1), Federico Di Traglia (1), Lorenzo Solari (1), Andrea Ciampalini (2), William Frodella (1), andNicola Casagli (1)(1) Department of Earth Sciences, University of Florence, Florence, Italy, (2) Department of Earth Sciences, University ofPisa, Pisa, ItalySlope failures of volcanic edifices produce a wide spectrum of instability phenomena, from small rock-falls tolarge-scale slope deformation, eventually evolving in rock-slides or debris avalanches With the aim of under-standing the relationship between geomorphologic evolution and slope instability at Stromboli volcano (Italy),displacement data from X-band, space-borne, COSMO-SkyMed satellites (CSK-SAR) and a permanent-sited,Ground Based Interferometric Synthetic Aperture Radar (GBInSAR) device were analysed. To track lithologicaland geomorphological changes in space and time, the evolution of reflectivity (amplitude) of CSK-SAR were alsoexamined.This study is focussed on Stromboli (Italy) volcano, optimal environmental setting and case history of volcanoslope instability phenomena, since: i) it experienced moderate to major instability events, ii) its slopes are prone tomass-wasting phenomena, iii) it is affected by persistent volcanic activity that can significantly affect the stabilityof slopes, iv) landslides from its flanks could generate tsunamis that could affect areas inhabited, and iv) it isone of the best studied and, among all, monitored volcanoes on Earth, providing exceptional validation data andground-truth constrains.GBInSAR data were collected every 11 minutes in the period 1 January 2010 – 18 December 2014, whereas theCSK-SAR images were collected between 22 February 2010 and 18 December 2014. Multi-Temporal InSAR(MT-InSAR) algorithms were used for both CSK-SAR and GBInSAR datasets.Backscattered intensity of each CSK-SAR image was transformed in amplitude image and then decibel scaled.In order to detect and interpret changes in land-cover in correspondence of the SdF slope, two steps were appliedin the employed procedure: i) RGB colour composites, and rationing, ii) texture analysis, using the GLCM (GreyLevel Co-occurrence Matrix) method.The analysis of the entire dataset cover a period characterized by “normal” Strombolian activity, punctuated byepisodes of “high-intensity activity”, with the occurrence of overflows from the crater terrace toward the Sciaradel Fuoco (SdF), and the 2014 flank eruption. This study highlights that during periods characterized by "normal"Strombolian activity, the production of materials ejected from the crater terrace to the SdF is generally low, anderosion is the prevailing process, mainly affecting the central portion of the SdF. GBInSAR apparatus allows forthe identification of very low displacement rates (0.01–0.001 mm/h) related to the creep of the northern sectorof the SdF. After the emplacement of the 2014 lava field, high displacements in the area located between thecentral and the northern portions of the SdF were recorded. The lava accumulation on the SdF slope, especiallybetween its northern and central portions, has favoured the detection of slope instability due to the difference inthe involved material (lava flows and breccia layers vs volcaniclastic loose deposits) below the newly emplacedlava.

Monitoring high geomorphologic dynamics and slope instability at Stromboli volcano

https://flore.unifi.it/bitstream/2158/1144760/1/Nolesini%20et%20al%20GRA%20vol%2020EGU%202018.pdf

Monitoring high geomorphologic dynamics and slope instability at Stromboli volcano

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