Multi-year Digital Surface Models (2010–2022) of La Fossa Cone: High-resolution Dataset of the North-Western Sector (Vulcano Island, Italy)

Type Dataset Class type Remote sensing data

Digital Surface Model And Orthophoto


The Island of Vulcano is the emerging portion of a composite volcanic edifice belonging to the Aeolian volcanic archipelago in the southern Tyrrhenian Sea. The remobilization of loose volcaniclastic material from La Fossa cone, triggered by heavy rainfall and the subsequent generation of small debris flows, represents a recurrent hazard on the island. Gravitational and erosive processes, mainly driven by rainfall, have formed several gully systems on the slopes of La Fossa. These systems significantly increase both surface runoff and downslope mass wasting. In order to reconstruct the geomorphometric evolution of the gully system in the north-western sector of La Fossa cone from 2010 to 2022, we carried out successive UAS surveys. This area is characterized by a large gully system and acts as the primary source for volcaniclastic debris flows that pose a potential threat to the island’s most populated areas. We here make available the Multi-temporal Digital Surface Models generated from aerial photographs collected during the 2017, 2019, and 2022 surveys, as well as the LiDAR-derived DEM from 2010.

This multi-year dataset provides a high-resolution topographic record essential for quantifying sediment dynamics and slope reorganization over more than a decade. By offering a detailed view of the morphological changes within the NW gully system, these data serve as a fundamental tool for improving geohazard assessment and land-use planning in the most populated areas of Volcano Island.

Data and Resources

This dataset has no data

Cite as

Nannipieri L., Favalli M., Di Traglia F., Fornaciai A. (2026). Multi-year Digital Surface Models (2010–2022) of La Fossa Cone: High-resolution Dataset of the North-Western Sector (Vulcano Island, Italy) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/vulcano-2017-2022-uas-survey

Available data encoding formats gzip tif, tiff

Field Value
Dataset Identifier (DOI) 10.13127/vulcano-2017-2022-uas-survey
Other Identifier OthId Identifier: ingv_1189
OthId Organization: INGV
Dataset Themes TECH
Publisher Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Release Date 01-01-2026
Modification Date 10-04-2026
Geographical Name Organizational Unit Responsible Competence Area
GeoNames URL Not available
Dataset Languages ITA
Temporal Coverage Not available
Rights holder Istituto Nazionale di Geofisica e Vulcanologia (INGV)
ROR 00qps9a02
IPA ingv
Update frequency never
Version Of Not available
Spatial extent {"type": "MultiPoint","coordinates": [[14.9578,38.4062]]}
Authors NANNIPIERI Luca
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
FAVALLI Massimiliano
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
DI TRAGLIA Federico
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
FORNACIAI Alessandro
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
Class type Volcanoes Department
Remote sensing data

Data schema