MITM6 | AI-driven science for surface and subsurface characterisation of rocky planetary bodies

MITM6

AI-driven science for surface and subsurface characterisation of rocky planetary bodies

Co-organized by TP

Convener: Beatrice Baschetti | Co-convener: Natalia Amanda Vergara Sassarini

Abstract submission

Artificial Intelligence and its subfields such as Machine Learning and Deep Learning are transforming planetary science, offering innovative tools to explore, interpret, and model surface and subsurface features across the Solar System. Thanks to this, the scientific revenue from the application of such technologies is steadily increasing.

This session welcomes contributions reporting original scientific results from AI-driven applications and discoveries concerning rocky bodies of the Solar System such as inner terrestrial planets, satellites, and small bodies.

Possible submissions include but are not limited to the following topics:

- Automated detection and classification of surface features;
- Automated mapping of planetary surfaces;
- Spectral analysis;
- Geophysical properties;
- Tectonics and structural geology;
- Active surface processes;
- Onboard AI/ML for rover/lander operations.

We encourage abstract submissions from early-career scientists.