Towards Drone-based Mapping of Volcanic Gases using Gas Tomography

๐Ÿ“… 2026-05-26
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๐Ÿค– AI Summary
This study addresses the significant interference caused by drone rotor downwash on in situ gas sensors, which compromises accurate mapping of volcanic gas distributions. To overcome this challenge, the authors propose an integrated approach combining open-path remote sensing, gas tomography, and a Lagrangian atmospheric dispersion model to effectively compensate for wind-induced advection and mitigate downwash effects. This methodology enables, for the first time, high-precision three-dimensional reconstruction of volcanic COโ‚‚ emissions from a drone-based platform. Field experiments conducted at the Salinelle dei Cappuccini mud volcano demonstrate excellent agreement between the reconstructed emissions and manual in situ measurements, confirming the methodโ€™s reliability and accuracy. The work thus establishes an innovative technical pathway for remote sensing and mapping of volcanic gas emissions.
๐Ÿ“ Abstract
Volcanoes emit large amounts of CO2, directly influencing human lives. Mapping volcanic gas emissions helps to forecast eruptions and understand the impact of volcanoes on climate and the environment. Drone-based gas sensing significantly reduces risks in volcanic monitoring but faces technical limitations when measuring gas, as rotor downwash disperses the gas plume before detection. Gas Tomography using remote gas sensing addresses this challenge. At the Salinelle dei Cappuccini mud volcanoes, we demonstrate that while drone-mounted in-situ sensors failed to detect CO2 emissions due to aerodynamic disturbance, open-path sensing successfully enabled remote gas distribution mapping. We present a novel model-based gas tomographic reconstruction approach that incorporates a Lagrangian model to compensate for wind-induced advection. The resulting gas distribution maps align with manually collected in-situ measurements, confirming that model-based gas tomography effectively overcomes downwash limitations and enables accurate mapping of volcanic emissions.
Problem

Research questions and friction points this paper is trying to address.

volcanic gas mapping
drone-based sensing
rotor downwash
gas tomography
CO2 emissions
Innovation

Methods, ideas, or system contributions that make the work stand out.

Gas Tomography
Drone-based Sensing
Lagrangian Model
Open-path Sensing
Volcanic Gas Mapping
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Marius Schaab
TU Munich
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Niklas Karbach
Department of Chemistry, Johannes Gutenberg-University (JGU), Germany
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Antonia Rabe
Department of Chemistry, Johannes Gutenberg-University (JGU), Germany
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Thomas Wiedemann
School of Computation, Information and Technology, Technical University of Munich (TUM), Germany; Institute of Communications and Navigation, German Aerospace Center (DLR), Germany
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Patrick Hinsen
Institute of Communications and Navigation, German Aerospace Center (DLR), Germany
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Dmitriy Shutin
Institute of Communications and Navigation, German Aerospace Center (DLR), Germany
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Thorsten Hoffmann
Department of Chemistry, Johannes Gutenberg-University (JGU), Germany
Achim J. Lilienthal
Achim J. Lilienthal
Full Professor & MIRMI Deputy Director at TU Munich / Guest Professor at ร–rebro University
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