PREDICTIVE MAINTENANCE IN CIVIL ENGINEERING

InSAR provides wide-area, time‑series visibility of surface deformation across an entire mine site—including pits, dumps, and tailings facilities. When interpreted correctly, it helps identify where movement is changing over time so teams can prioritise inspection, monitoring resources, and mitigation planning.

InSAR can help characterise and quantify deformation trends across TSFs and surrounding ground, supporting early awareness and prioritisation. Because TSFs are high‑consequence assets, results should be interpreted by specialists and integrated with site monitoring and geotechnical context to support safe decisions.

Early warning means identifying abnormal movement patterns or changes in trend early enough to trigger closer review or additional on‑site investigation. Practical early warning depends on a site‑specific framework: baselines, thresholds, and expert interpretation—not a single universal number or map.

Data-only outputs can be easy to misread, especially in complex mine environments. SkyGeo combines InSAR data with geotechnical domain expertise, quality controls, and interpretation workflows to translate measurements into clear, risk‑aware insight that supports decisions and safe operations.

Satellite monitoring supports TSF safety programmes by providing consistent, independent observations of deformation patterns over time. It helps demonstrate due diligence, supports audit trails, and can highlight trends that warrant closer investigation. Importantly, TSF risk management depends on interpretation—understanding what movement is expected, what is abnormal, and how change relates to site conditions and operational actions. Satellite monitoring is most effective when it sits within a governance framework: thresholds, responsibilities, validation steps, and clear escalation pathways.

Satellite monitoring can identify deformation trends that may indicate changing conditions, but it should not be treated as a simple ‘failure prediction’ tool. Tailings failures are complex and often depend on multiple interacting factors. The responsible use of satellite data is as an early-warning and screening layer: detect change, assess trend behaviour and uncertainty, then investigate with engineering judgement and complementary monitoring. Overconfidence in raw data outputs can be dangerous; decision-grade insight requires expert validation and context.

Typical parameters include displacement over time (time-series), velocity (rate of movement), acceleration (change in rate), and spatial patterns such as differential movement across the structure and its surroundings. Context matters: movement direction relative to the dam geometry, correlation with operational changes, and consistency across measurement points. Monitoring programmes also track uncertainty and data quality so interpretation remains reliable. The aim is not to ‘collect points’, but to detect meaningful change early and support clear escalation decisions.