270 consideration of restoration and closure, reduce uncertainty, and strengthen trust by making environmental performance more transparent and accessible. The phased deployment model demonstrated in this paper further suggests a practical pathway for adoption that aligns with operational realities and regulatory processes. At the same time, successful implementation requires collaboration across disciplines, including environmental specialists, operational teams, and technology providers. Clear governance of data, careful selection of indicators, and ongoing field validation remain essential to ensure that digital representations accurately reflect ecological conditions. As regulatory and disclosure expectations continue to evolve, alignment with emerging biodiversity reporting frameworks will be critical to maximising the value of integrated monitoring approaches. In conclusion, the approach presented in this paper demonstrates how technology-enabled environmental management can support more responsible, efficient, and transparent mining practices. By providing consistent, scalable, and decision-relevant environmental information, integrated digital monitoring, AI processing and easily accessible visualization, has the potential to play a meaningful role in advancing trust, enabling transformation, and supporting sustainable outcomes across the mining lifecycle. Future applications should focus on expanding implementation across diverse mining contexts and evaluating long-term environmental and social outcomes to further inform industry practice.
RkJQdWJsaXNoZXIy MTM0Mzk2