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dc.contributor.authorOng, Cindy Chin Hui
dc.contributor.supervisorProf. Mervyn Lynch
dc.contributor.supervisorThomas Cudahy
dc.date.accessioned2017-01-30T10:12:28Z
dc.date.available2017-01-30T10:12:28Z
dc.date.created2014-02-18T05:49:54Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/20.500.11937/1755
dc.description.abstract

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


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