Fingerprinting of Mining Environment
Fingerprinting of mining environment involves identifying and characterising the unique environmental impacts associated with mining activities. To this end, this seminar highlights the use of smart sensing to "fingerprint" mining environment (land, vegetation and air), citing three examples:
- Automated characterisation of spoil piles: Using drone and mobile images, this method marks a transformative advancement in sustainable mine waste management practices.
- Integrated UAV-Hyperspectral and LiDAR data acquisition systems: These systems establish a quantifiable basis to assess the condition of vegetation in sensitive mining environments.
- Coal mine methane emission estimates: This highlights rapidly evolving multifaceted landscape of coal mine methane emission estimates.
These examples demonstrate how smart sensing technologies and multidisciplinary approaches are being utilised in mining environment.
Monday, 10/28/24
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Green Earth Sciences Building
367 Panama St, Room 104
Stanford University
Stanford, CA 94305
Stanford University
Stanford, CA 94305
Website: Click to Visit