Katedra Geomatiky

The project will focus on establishing strong interactions with user communities (mining authorities and mining industry) involved in TSF operational activities with the aim of defining clear customer-specific functional and technical requirements. These requirements will lay down Key Variables that could be used as parameters to monitor TSF as well as precise performance objectives for the GAIA-TSF prototype. On this foundation, the cooperative work between scientists and the mining operational communities will lead to explore how three technical disciplines, namely satellite earth observation, geo-engineering and machine learning, can be integrated into the design of a prototype supporting the automatic detection of anomalies and risks in TSFs. Based on the designed variables and structured training datasets, different machine and deep learning algorithms will be tested and evaluated to design and develop a prototype supporting the automatic detection and prediction of anomalies and risks in TSFs.