Sustainable management of Mediterranean soils requires advanced tools to monitor, quantify, and predict soil health under the combined pressures of climate change, land degradation, and intensive agriculture. This session invites contributions that address methodological advances in soil metrics, geo-informatics, and statistical frameworks supporting the quantification of key soil health indicators such as soil organic carbon, nutrient availability, soil-water, and soil biodiversity. We particularly welcome studies employing geospatial modeling, remote sensing, big data integration, and machine learning to derive soil indicators and pedotransfer functions that perform across heterogeneous Mediterranean environments and soil types. Furthermore, the session seeks to showcase case studies demonstrating the standardized soil metrics and digital infrastructures (e.g., data cubes, decision support systems) can enhance multi-actor engagement and policy uptake. By bridging soil science, data analytics, and sustainability assessments, this session aims to foster innovative pathways for monitoring and restoring Mediterranean soils in line with the objectives of the EU Soil Mission.