Multi-platform satellite-derived products during the 2025 Etna eruption

Earth Observation data are playing an increasingly central role in volcanology, enabling high-resolution assessments of the timing, magnitude, and explosivity of eruptive events. A comprehensive suite of satellite-derived products is provided here, documenting the February 2025 eruption of Mt. Etna (Italy), the first eruption fully monitored also by the third-generation Meteosat satellite, providing unprecedented mid-infrared spatial and temporal resolution. Daily Planet's acquisitions enabled consistent monitoring of lava flow evolution, while a post-eruptive Pléiades triplet allowed for the development of an updated digital surface model and precise estimation of the deposits thickness. The dataset includes: time averaged discharge rates (TADR) from MODIS, SEVIRI, VIIRS, and FCI sensors; lava flow areal expansion from Skysat and PlanetScope imagery; deposit thickness from DSMs differencing; SO<sub>2</sub> mass flux from TROPOMI; a 5 m-resolution DSM from Pléiades imagery (March 6th, 2025). Combined analysis of SO<sub>2</sub> emissions and TADR improves understanding of magma supply and eruptive output. Furthermore, the products provided offer critical data for analyzing multi-temporal morphological changes and hazard assessment studies.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-08-04
DOI
https://doi.org/10.1038/s41597-025-05545-0
Citations
4
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
5.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-platform satellite-derived products during the 2025 Etna eruption

Raimondo De Cristofaro, Angelo Cappello, Gaetana Ganci, F. Zuccarello et al.
4 citations
Scientific Data
Cryospheric studies and observations
5.20
article

Multi-platform satellite-derived products during the 2025 Etna eruption

Raimondo De Cristofaro, Angelo Cappello, Gaetana Ganci, F. Zuccarello, Michele Spina, Francesco Spina, Giuseppe Bilotta, Maddalena Dozzo, R. Guardo
article en
4 citations

Abstract

Earth Observation data are playing an increasingly central role in volcanology, enabling high-resolution assessments of the timing, magnitude, and explosivity of eruptive events. A comprehensive suite of satellite-derived products is provided here, documenting the February 2025 eruption of Mt. Etna (Italy), the first eruption fully monitored also by the third-generation Meteosat satellite, providing unprecedented mid-infrared spatial and temporal resolution. Daily Planet's acquisitions enabled consistent monitoring of lava flow evolution, while a post-eruptive Pléiades triplet allowed for the development of an updated digital surface model and precise estimation of the deposits thickness. The dataset includes: time averaged discharge rates (TADR) from MODIS, SEVIRI, VIIRS, and FCI sensors; lava flow areal expansion from Skysat and PlanetScope imagery; deposit thickness from DSMs differencing; SO<sub>2</sub> mass flux from TROPOMI; a 5 m-resolution DSM from Pléiades imagery (March 6th, 2025). Combined analysis of SO<sub>2</sub> emissions and TADR improves understanding of magma supply and eruptive output. Furthermore, the products provided offer critical data for analyzing multi-temporal morphological changes and hazard assessment studies.

Scientific DataVol. 12(1)
Istituto Nazionale di Geofisica e Vulcanologia (IT)
National Aeronautics and Space Administration, Istituto Nazionale di Geofisica e Vulcanologia, European Organization for the Exploitation of Meteorological Satellites
Openalex Percentile: Top 4%
Cryospheric studies and observations
5.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.