Studying the Earth's crust is challenging due to its complex composition, thermal properties, and structural variability. Both active and passive seismic approaches enable the imaging of subsurface structures across various scales and the extraction of information on crustal properties (e.g., elastic properties, density, porosity, presence of fluids, and variations in temperature and pressure). Recent advancements in sensor technologies, increased computing capacity, and the application of machine learning in Earth sciences have deepened our understanding of geological processes at multiple scales.
This session shall promote the exchange of experiences using cutting-edge active and passive seismic techniques, or their combinations, to image and characterize both deep and shallow physical properties and structures of the lithosphere. We welcome contributions that utilize novel methods to enhance imaging resolution across various scales, as well as studies that integrate diverse datasets—such as gravimetric, magnetic, geochemical, petrological, and drill logging data—to provide a more comprehensive understanding of the lithosphere. We particularly encourage submissions from underrepresented scientific regions, Early-Career researchers, and those involved in Equality, Diversity, and Inclusion (EDI) initiatives.