Development of Data Mining Aided 4D-visualisation System for Eco-space Appraisals

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Australian mining industry continuously seeks improvement in environmental performances to set leading practice examples across the globe. To this end, there is a need to develop an automated system that could integrate varied sources of remotely obtained data from various platforms to detect changes in sensitive ecosystem within active and post mining landscapes. This project will develop a 4D (space and time) data visualisation tool to facilitate quick and holistic review of the functioning of the ecosystem elements exposed to potential mining impacts. Data mining routines will be developed on UNSW clusters to operate on thematic, non-thematic, backscatter data products acquired from multi-imaging platforms (satellites, aircraft, UAVs) and GIS layers. The assessment will produce spatio-temporal trajectories of vegetation, water, and land subsidence parameters to assist multi-stake holders (mining industries, regulators, communities) in decision-making. The output of the developed system will provide improved confidence in tracking the changes for timely interventions.

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Supervisory team
Simit
Raval

Engineering
Mining Engineering
Graciela
Metternicht

Science
Sowmya
Arcot

Engineering
Computer Science and Engineering
simit@unsw.edu.au

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