263 4. ALIGNMENT WITH THE WMC 2026 THEME 4.1 Contribution to Trust, Transformation, and Technology Trust is strengthened by improving the transparency and accessibility of environmental information. By making environmental conditions and change spatially explicit and visually interpretable, the approach supports clearer communication with regulators, communities, and other stakeholders. Evidence-based reporting of biodiversity impacts and restoration outcomes enables a shared understanding of baseline conditions and progress over time, supporting informed dialogue and greater confidence in environmental management across the mining lifecycle. Transformation is reflected in the shift from periodic and spot based environmental assessments toward more integrated and multi-dimensional environmental management. By embedding monitoring outputs within operational workflows, the approach supports earlier consideration of restoration and closure and enables environmental performance to inform planning and decision-making more directly. This reframes environmental data from a compliance-driven requirement into a source of operational insight that supports risk management and long-term sustainability outcomes. Technology underpins this shift by enabling consistent integration, analysis, and visualisation of environmental data across spatial scales. The application of remote sensing, geospatial data integration, AI compute and digital platforms demonstrates how scalable technologies can support repeatable and practical approaches to environmental monitoring, strengthening the link between data collection, interpretation, and decision-making in real-world mining contexts. 5. METHODOLOGY/APPROACH 5.1 Contribution to Trust, Transformation, and Technology The methodology presented in this paper is based on an integrated digital reality approach to environmental monitoring in mining contexts. The approach combines environmental data acquisition, data integration, AI processing and digital representation to create a continuous and spatially explicit view of ecological conditions in and around mining operations. The objective is to support monitoring, reporting, and adaptive management across the mining lifecycle, with particular relevance for restoration and reclamation activities. Environmental data acquisition is conducted using a combination of remote sensing and in-situ technologies, including satellite imagery, airborne and terrestrial LiDAR, camera and audio traps, ground-penetrating radar, and eDNA analysis techniques. Each data source captures different environmental attributes, enabling measurement of physical conditions and biological indicators. Data is collected at varying spatial resolutions to reflect ecological complexity and
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