Key Takeaways Baseline topographic survey and 3D terrain modelling are now largely drone/LiDAR-driven, with AI showing up in two distinct places: autonomous SLAM navigation during capture, and implicit-modelling interpolation once the data lands. Emesent …
Key Takeaways Airborne total magnetic intensity (TMI), gravity, and magnetometry survey processing is classical geophysics — Geosoft Oasis montaj (Seequent) remains the industry-standard processing software. The AI layer is additive, not a replacement: …
Key Takeaways Environmental impact assessment for tailings facilities now runs largely on the same monitoring stack used for dam safety — GroundProbe radar, Worldsensing IoT sensors, and satellite InSAR — repurposed as an evidence source for compliance reporting. The Global Industry Standard on …
Key Takeaways AI-augmented slope radar and satellite InSAR monitoring is now the standard, not the exception, for real-time pit-wall movement detection. IDS GeoRadar’s Ai.DA adds a machine-learning layer on top of raw radar data to separate real instability trends from noise. SkyGeo delivers …
Key Takeaways AI-driven supply/demand and price-forecasting platforms now claim meaningfully better accuracy than conventional technical analysis — reported gains of 18–25% in forecast accuracy. DBX Commodities fuses satellite stockpile/port/industrial-activity imagery with ML models to forecast …
Key Takeaways Slope-monitoring vendors bundle automated report and alert generation directly into their monitoring platforms — you don’t build this separately. IDS GeoRadar and SkyGeo both ship automated alerting/reporting as part of the radar and InSAR service, not as an add-on. This is one …
Key Takeaways Photogrammetric structural mapping — extracting discontinuity orientation, spacing, and trace length from pit-wall imagery — is the established standard, via Maptek’s I-Site Studio/PointStudio and the CSIRO-developed Sirovision system. Automated discontinuity-detection algorithms …
Key Takeaways Tailings dam failure prediction has moved from periodic manual survey to continuous AI-driven monitoring — the key breakthrough is deep-learning models that separate normal consolidation settlement from precursor shear deformation (the actual warning sign) in InSAR satellite data. …
Key Takeaways Tailings dam monitoring has become its own specialized AI category following several high-profile dam failures. GroundProbe (Orica) combines radar (including its SSR-SARx synthetic-aperture radar built specifically for tailings) with piezometers and drone imagery in one dashboard. …
Key Takeaways Water management planning for tailings and site water is still mostly a consultant-driven, document-based process. AI’s current role is in the monitoring data that feeds the plan, not in writing the plan itself. Platforms like Birdi and Insight Terra fuse prism, drone, …