Deep learning is revolutionizing geosciences by enabling advanced pattern recognition and predictive modeling across complex datasets. This session welcomes contributions on applications of deep learning in the full spectrum of earth sciences, submitted abstracts are related but not limited to: -Reservoir characterization, -Remote sensing, -Mineral exploration, -Natural hazard forecasting, -Hydrology, and climate modeling. Emphasis is placed on architectures, data strategies, explainability, and integration with domain knowledge. Oral and Poster presentations are welcome.