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Ambient Noise Tomography (ANT) is a passive seismic imaging method that uses natural ground vibrations to map subsurface structures cost-effectively and with minimal environmental impact. It is especially valuable in mineral exploration, where it can identify geological features without the need for active seismic sources. However, traditional 4.5 Hz or 5 Hz geophones often lack the sensitivity needed for the low-noise conditions common in remote areas.
We addressed this limitation with a new nodal instrument featuring three high-gain 2 Hz geophones, optimized for ANT. These sensors improve sensitivity to low-frequency signals, allowing faster signal-to-noise convergence, reduced acquisition times, and clearer imaging of deeper structures. The instrument also records full wavefields, including Rayleigh and Love waves, for enhanced resolution.
This hardware is part of a complete digital system that streamlines survey planning, sensor deployment, and cloud-based data processing. A dedicated gateway enables efficient data collection, while a web interface and mobile app support real-time setup, diagnostics, and quality control. Together, these innovations improve data quality and operational efficiency, making ANT a more practical solution for exploring deeply buried mineral deposits.