• Classification of weed (Parkinsonia aculeata)

    Detection of weed species using high-resolution drone imagery and object based image analysis

    Invasive weeds are considered to be one of the major threats to the long-term success of post-mine rehabilitation. Therefore, many mine sites closely monitor the presence, abundance, distribution, and spread of weed species in their rehabilitated areas. Monitoring for weeds is traditionally carried out through ground-based field work and visual assessments. However, these methods can be slow, costly, and labour intensive. In contrast, remote sensing can help overcome these issues by monitoring large areas of land for detecting and controlling weeds. Until recently, remote sensing techniques had limitations that impeded the monitoring of weed species.
  • Environmental Geochemistry of Abandoned Mines

    Environmental Geochemistry

    This group develops innovative tools for understanding and predicting geochemical processes, which underpin sustainable management of waste rock dumps, mineral processing tailings and final voids.
  • Ecosystem Assessment, Restoration & Resilience

    Ecosystem Assessment, Restoration & Resilience

    This group assesses impacts of mining activities on flora and fauna; develop innovative approaches to restore ecosystem services and practices that encourage recolonisation by native species; examine the resilience of ecosystems under specific disturbance regimes; discover and understand the utility of metallophyte plants; create approaches for the recovery and sustainability of disturbed land.


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