S10 - Proximal and Distal Volcanic Monitoring using Remote Sensing systems: novel practices, applications and integrations
- Stefano Corradini*, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Nazionale Terremoti, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
- Gaetana Ganci, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, gaetana.ganci@ingv,it
- Luca Merucci, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Nazionale Terremoti, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
- Giuseppe Salerno, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
- Letizia Spampinato, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
- *Corresponding
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The application of remote sensing at volcanology has become a routine methodology for monitoring ongoing eruptive activity, detecting anomalies and volcanic unrests. Ground- and space-based instruments indeed have advantages and drawbacks, and can thus be considered complementary. Ground-based systems generally provide almost continuous time coverage, higher accuracy, but generally insufficient density and limited aerial coverage. Conversely, satellite observations ensure global spatial density measurements through a synoptic view of the investigated area, generally with lower spatial and temporal resolutions. In recent years, novel techniques and retrieval methods, in some cases coupled with machine learning approaches, have been developed to increase data information and to reduce retrieval uncertainties. At the same time, the integration of measurements gathered by sensors operating in different spectral ranges, has represented a key step forward towards the improvement of remote sensing products’ reliability. Of course, the advent of novel technology and the implementation of new data processing techniques, aside with the opportunity to integrate multi-parametric data, have fostered the knowledge of volcanic phenomena, volcanic processes and dynamics, thus improving our capability to assess the related hazards, the likely developing scenarios, and to contribute to risk mitigation. In this frame, this session focuses on the state of the art of algorithms, methodologies and practices on all aspects of satellite- and ground- based remote sensing of volcanic phenomena, as well as the integration, comparison and validation of remote sensing products, and their application to improve our understanding of the eruptive mechanisms and the associated risks.