AI RESEARCH
Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
arXiv CS.CV
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ArXi:2505.17782v3 Announce Type: replace Monitoring volcanic activity is of paramount importance to safeguarding lives, infrastructure, and ecosystems. However, only a small fraction of known volcanoes are continuously monitored. Satellite-based Interferometric Synthetic Aperture Radar (InSAR) enables systematic, global-scale deformation monitoring. However, its complex data challenge traditional remote sensing methods. Deep learning offers a powerful means to automate and enhance InSAR interpretation, advancing volcanology and geohazard assessment.