UAS-based mapping of the July 3rd 2019 clast density distribution on the W flank of Stromboli with uncertainty quantification

Tipo Dataset Classe Dati di Telerilevamento

Digital Surface Model And Orthophoto


Stromboli is a volcanic island in a persistent state of activity, located off the northern coast of Sicily. The paroxysms have been the most powerful explosive phenomena at Stromboli in the last 150 years. These explosions can produce ballistic projectiles that can heavily affect trails and observation sites as well as hit inhabited areas at lower elevations, down to the coast. On July 3rd 2019 a paroxysm significantly affected a great portion of the island with ballistic projectiles. In particular, many decimeter and meter-sized spatter bombs hit the W flank of Stromboli, and ignited multiple fires. In May 2022, we conducted an Unmanned Aerial System photogrammetric campaign over a sector of the W flank of Stromboli that was heavily affected by the paroxysm. The greatest clasts were still preserved after three years, not disturbed by significant mass wasting phenomena or human interference, and they were not yet hidden by the post-fire regrowth of the brush vegetation. In this study we constrained the main sources of uncertainty affecting the bombs distribution on the ground, by characterizing a percentage of uncertain clasts, by testing various density estimators, and by modeling an areal buffer around the mapped clasts. We produced a 0.18 km2 wide 1.6 cm resolution orthomosaic, a 10 cm resolution Digital Surface Model, vectorial data of the detected clasts. Spatial distribution of the ground cover and associated uncertainty were analyzed as a function of the distance and of the angular direction from the source.

Data e Risorse

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Citare come

Bevilacqua A., Nannipieri L., Favalli M., Fornaciai A. (2024). UAS-based mapping of the July 3rd 2019 clast density distribution on the W flank of Stromboli with uncertainty quantification [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/stromboli/2022-uas-survey

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Nome campo Valore
Identificativo del dataset (DOI) 10.13127/stromboli/2022-uas-survey
Altro identificativo Codice: ingv_967
Gestore del codice: INGV
Temi del dataset Scienza e tecnologia
Editore del Dataset Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Data di rilascio 01-01-2024
Data di modifica 19-02-2024
Copertura Geografica Area di competenza dell'unità organizzativa preposta
URI di GeoNames Non disponibile
Lingue del dataset italiano
Estensione temporale Non disponibile
Titolare Istituto Nazionale di Geofisica e Vulcanologia (INGV)
ROR 00qps9a02
IPA ingv
Frequenza di aggiornamento mai
Versione di Non disponibile
Spatial extent {"type": "MultiPolygon","coordinates": [[[ [15.1921,38.7951], [15.1995,38.7951], [15.1995,38.7914], [15.1921,38.7914], [15.1921,38.7951] ]]]}
Autori BEVILACQUA Andrea
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
NANNIPIERI Luca
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
FAVALLI Massimiliano
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
FORNACIAI Alessandro
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy

Schema dati