Drone-Based Photogrammetry and Morphological Characterization of the Salse del Dragone Mud Volcanoes: Integrating Multidisciplinary Data for Future Exploration

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Published: 2025-09-26
DOI: https://doi.org/10.4401/ag-9292

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Arianna Pesci
Istituto Nazionale Geofisica Vulcanologia, Bologna, Italy
Giancarlo Tamburello
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Giordano Teza
Università degli Studi di Bologna - DIFA
Enrico Paolucci
Università degli Studi di Bologna - DIFA
Martina Zanetti
Alma Mater Studiorum University of Bologna, Department of Physics and Astronomy, Bologna, Italy

Abstract

This study investigates the Salse del Dragone mud volcanoes, located in the Apennine region of Italy, using an integrated approach that combines drone-based Structure-from-Motion (SfM) photogrammetry, morphological analysis, and the integration of diverse datasets. The primary focus is on high-resolution terrain mapping and characterization through SfM-derived data. Detailed surface features, including active gas emission points and surrounding topography, are thoroughly analyzed. The research also incorporates additional subsurface data obtained from passive seismic measurements, gas emission records, and satellite imagery to develop a comprehensive understanding of the area’s dynamics. These efforts aim to estimate the extruded mass volume and assess the spatial distribution of the phenomenon, which appears to be more extensive than previously thought. The study reveals significant morphological anomalies, highlighting the need for further investigation, which will soon be extended to neighboring areas. This research is part of the PROMUD project, funded by the National Institute of Geophysics and Volcanology (INGV).

Article Details

Issue

Vol. 68 No. 4 (2025)

Section

Data and Methods for Geophysics
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How to Cite

(1)
Pesci, A.; Tamburello, G.; Teza, G.; Paolucci, E.; Zanetti, M. Drone-Based Photogrammetry and Morphological Characterization of the Salse Del Dragone Mud Volcanoes: Integrating Multidisciplinary Data for Future Exploration. Ann. Geophys. 2025, 68 (4), DM444. https://doi.org/10.4401/ag-9292.