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 coverageβ€”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 infrastructureβ€”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 occurβ€”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:
Çâpler Mine

This in-depth case study delivers a retroactive look at the Çâpler 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.