Global-Scale Monitoring that Keeps Mines Operating, Operational Stability Powered By Geospatial Intelligence

With industry-leading technology for modern geologists and exploration teams, reducing risk, optimizing exploration budgets, and identifying deposits faster than ever.

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Detect small-scale surface changes with site-wide coverage—giving you the lead time to manage risk proactively.

EarthDaily enhances traditional ground monitoring with broad-coverage, high-frequency Earth observation data and intelligence. Our solutions deliver consistent visibility across tailings dams, pit walls, haul roads, and other critical infrastructure—spotting subtle changes early. Automated alerts and historical trend analysis help engineers act faster, reduce risk, and stay ahead of compliance requirements.

Tailings Dam Monitoring: A Critical Use Case

Tailings Storage Facilities (TSFs) are among the highest-risk assets in mining. With globally distributed, often remote sites, continuous stability monitoring is essential.

Our scalable InSAR monitoring detects subtle movements, giving mining companies the data-driven insights needed to act before failures occur—protecting communities, the environment, and financial interests.

Future-Proof Your Mine Safety Strategy
EarthDaily’s geospatial intelligence solutions empower mining companies to:

  • Strengthen regulatory compliance and ESG commitments
  • Reduce reputational risk from safety incidents
  • Enhance stakeholder confidence through transparent reporting
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Start Monitoring Today

Take a proactive approach to mine safety with EarthDaily’s advanced InSAR monitoring.

Iris – 
Large-Scale Infrastructure Monitoring

A remote sensing platform for monitoring mining infrastructure at scale in a code-free environment.

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Rapidly analyze remote sensing data to identify potential mineral deposits.
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Reduce exploration costs by integrating multi-sensor satellite imagery with geospatial analysis.
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Increase confidence in early-stage assessments by leveraging historical and near-real-time datasets.

Featured Case Study:
Çöpler Mine

This in-depth case study delivers a retroactive look at the Çöpler Mine disaster using remote InSAR monitoring. See how Iris detects movement before failure and helps safeguard future mine sites.

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Key Metrics
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Objective:
Determine whether InSAR data showed precursory ground motion prior to the event
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Early Detection of Ground Instability:
InSAR analysis identified measurable deformation months before heap leach failure, demonstrating predictive monitoring potential.
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Improved Accuracy Through Point Relocation:
The new algorithm precisely repositioned deformation data, delivering the most accurate mapping over altered mine terrain to date.
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Multi-Orbit, Multi-Directional Insight:
Combined ascending and descending Sentinel-1 data provided a 3D view of east-west and vertical movement, revealing slope dynamics.
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Enhanced Anomaly Detection Precision
Upgraded Iris tools reduced false positives, isolating a clear subsidence zone directly preceding the failure event.
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Validated InSAR for Mine Risk Management:
Confirmed that satellite deformation monitoring can serve as a reliable early-warning system for tailings and heap leach stability.