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

Back to search results

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.

Apply Now
Supervisory team

Mining Engineering


Computer Science and Engineering

Apply Now

Please start your application by taking the self assessment. Download the editable MS Word version or download the non-editable PDF version (best for Mac or mobile devices). Once the self assessment form is completed, save as a PDF and upload along with your application.

One file only.
50 MB limit.
Allowed types: gif jpg png bmp eps tif pict psd txt rtf html odf pdf doc docx ppt pptx xls xlsx xml avi mov mp3 ogg wav bz2 dmg gz jar rar sit svg tar zip.
If you have not done so, please complete the self assessment PDF as noted above.