Conference Proceedings
Life of Mine Conference 2021
Conference Proceedings
Life of Mine Conference 2021
Improved performance of mined-land rehabilitation informed by digital environmental sensing and Bayesian modelling
The study objective was to extend and refine prior work undertaken to develop a Bayesian networkbased mine rehabilitation decision support tool (Dale et al., 2018) through detailed spatial assessment and analysis of digital survey data from operational mine rehabilitation outcomes.
The project aims to evaluate the utility of digital spatial assessment and facilitate transfer of research outputs into practice through user-driven training and feedback on the decision support tool utility to support improved quality and cost of rehabilitation outcomes, and confidence in meeting regulatory commitments.
The project aims to evaluate the utility of digital spatial assessment and facilitate transfer of research outputs into practice through user-driven training and feedback on the decision support tool utility to support improved quality and cost of rehabilitation outcomes, and confidence in meeting regulatory commitments.
Contributor(s):
G Dale, L McCallum, B Silverwood, C Bingham, A Ali, J Bennett
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Improved performance of mined-land rehabilitation informed by digital environmental sensing and Bayesian modellingPDFThis product is exclusive to Digital library subscription
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- Published: 2021
- Pages: 5
- PDF Size: 1.51 Mb.
- Unique ID: P-01716-L0R5J7