AI-Assisted Drone Survey and 3D Terrain Modeling
A drone survey in mining pairs LiDAR or photogrammetry (Hovermap SLAM where GPS fails) with Pix4D or DJI Terra and implicit modelling for 3D terrain.
A drone survey in mining pairs LiDAR or photogrammetry (Hovermap SLAM where GPS fails) with Pix4D or DJI Terra and implicit modelling for 3D terrain.
Airborne geophysics with AI: process TMI, gravity and magnetics surveys in Oasis montaj, then feed the grids to a platform like VRIFY DORA to rank targets.
AI-assisted environmental impact assessment for tailings feeds radar, sensor and InSAR deformation data into continuous, GISTM-aligned compliance reporting.
Geotechnical monitoring with AI runs slope radar (IDS GeoRadar) and satellite InSAR (SkyGeo) through ML layers so wall-failure warnings surface early.
Commodity market forecasting for mine sales: satellite-based supply and demand models from DBX Commodities plus flow data from Kpler or Wood Mackenzie.
AI-generated mine monitoring reports come built into slope radar and InSAR platforms like IDS GeoRadar and SkyGeo, produced straight from live sensor data.
AI structural mapping captures pit-wall point clouds in Maptek PointStudio or CSIRO's Sirovision, then extracts joint orientation and spacing automatically.
Tailings dam monitoring with AI: fuse ground radar (GroundProbe), wireless sensors (Worldsensing) and satellite InSAR, then flag failure with deep learning.
AI tailings management: unify GroundProbe radar, piezometers and satellite InSAR in one platform to run the facility on live data from design to closure.
AI doesn't write water management plans yet, but satellite InSAR, drone photogrammetry and sensor fusion can feed them near-real-time evidence.