Landslides and slope instabilities pose significant global risks, driven by complex subsurface conditions and dynamic processes operating across multiple timescales. Effective hazard assessment and mitigation require robust characterization of landslide-prone areas and accurate monitoring of movement. This session focuses on the application of advanced geophysical techniques – specifically Spectral Induced Polarisation (SIP) and Transient Electromagnetic (TEM) methods – to investigate soil movement, characterize subsurface architecture, and improve our understanding of landslide dynamics. We aim to showcase cutting-edge research integrating these methods with complementary geotechnical and geological data for enhanced landslide characterization, monitoring, and prediction. This session welcomes contributions exploring the innovative application of SIP and TEM to address key challenges in landslide research. We encourage submissions demonstrating how these techniques can be used to:

• Characterize subsurface properties: Mapping lithology, groundwater conditions, clay content, and fracture networks influencing slope stability.
• Monitor temporal changes: Tracking soil moisture variations, pore-fluid movement, and deformation patterns associated with landslide activity.
• Improve landslide models: Integrating geophysical data with geotechnical and geological information to build robust, predictive models of slope instability.

We particularly invite contributions showcasing:

• Time-lapse SIP and TEM surveys: Demonstrating the effectiveness of repeated measurements for monitoring subsurface changes related to soil movement, including pre-, co-, and post-failure scenarios.
• Multi-method integration: Presenting successful workflows combining SIP and TEM data with geotechnical investigations (e.g., borehole logging, shear strength testing) and geological mapping for comprehensive site characterization.
• Advanced data processing & interpretation: Exploring novel techniques, including machine learning algorithms and inversion strategies, to enhance the resolution and interpretability of SIP and TEM data.
• Case studies: Presenting real-world examples illustrating the application of SIP and TEM to diverse landslide types (e.g., debris flows, slow-moving earthflows, rockslides) and geological settings.