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Integrated monitoring solution

From space to ground, connecting data for a fully integrated understanding of your assets

With over 15 years of experience in the design and deployment of monitoring systems, Sixense supports clients in defining and implementing optimized monitoring strategies tailored to each project’s phase, geotechnical context, asset criticality, and risk profile.

Our experts work closely to select and integrate the most appropriate technologies, combining Atlas InSAR satellite monitoring with advanced ground-based instrumentation. Backed by a global team of over 800 experts and strong local knowledge, we deliver a comprehensive, high-precision, and actionable understanding of ground and structural behaviour across projects worldwide.

 

We design and implement tailored monitoring systems that integrate ground-based sensors with satellite data, ensuring each solution is fully aligned with project requirements.

 

Tailored design: Customised monitoring strategies adapted to project phase, geotechnical conditions, and risk profile.

• Multi-source expertise: Seamless integration of satellite data and in-situ instrumentation for comprehensive, multi-scale analysis.

• Optimised performance: Achieving the right balance between precision, spatial coverage, and cost without unnecessary complexity.

• Safety-driven approach: Early detection of anomalies to support risk mitigation and protect people, assets, and the environment.

Sixense integrates satellite-derived measurements and in-situ sensor data within a unified digital platform, enabling:

 

• Continuous wide-area deformation screening using time-series analysis for early anomaly detection.

• High-resolution local monitoring of critical assets through dense, high-frequency instrumentation networks.

• Multi-source data fusion and cross-validation to improve measurement robustness, reduce uncertainty, and ensure consistency across datasets.

• Automated threshold-based alerting and reporting, supporting real-time risk assessment and operational decision-making.

 

This integrated framework ensures traceable, quality-controlled, and spatially coherent datasets, providing a reliable basis for advanced geotechnical interpretation, modelling, and risk-informed engineering decisions.