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dc.contributor.authorOng, Cindy Chin Hui
dc.contributor.supervisorProf. Mervyn Lynch
dc.contributor.supervisorThomas Cudahy

The use of multi-temporal remotely-sensed airborne hyperspectral data for monitoring environmental conditions associated with mining activities is in its infancy and few publications provide the necessary workflow and guidelines to generate validated information. This thesis provides the environmental professional with quantitative tools to make informed management decisions.Two case studies were generated to demonstrate the application of hyperspectral data for two of the mining industry’s largest challenges, namely, dust contamination and acid drainage.

dc.publisherCurtin University
dc.titleMapping and monitoring the environmental impacts of mining using hyperspectral data
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering, Department of Imaging and Applied Physics

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