Supervisors: Prof Graciela Metternicht, Dr Simit Raval and Prof S Arcot
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.
The UNSW Scientia PhD Scholarship Scheme is part of our dedication to harnessing our cutting-edge research to solve complex problems and improve the lives of people in local and global communities. You will work on high quality research projects with the best supervisory teams in world class environments, a $40K a year stipend for four years is available. We are looking for outstanding candidates with interest in remote sensing/GIS and decision making.
Dr. Graciela Metternicht