Spatially validated machine-learning workflow for mineral prospectivity mapping using geochemistry, structural geology, magnetics and gravity.
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Updated
Sep 10, 2026 - Python
Spatially validated machine-learning workflow for mineral prospectivity mapping using geochemistry, structural geology, magnetics and gravity.
AI-driven REE prospectivity platform — InstaGeo ML, Cesium 3D globe, JORC-aligned uncertainty for mining exploration
AI-driven prospectivity mapping with uncertainty-aware target ranking for mineral, groundwater & geothermal exploration.
Machine learning framework for lithium concentration prediction and spatial exploration prioritization using geochemical data, Sentinel-2 imagery, spatial validation, uncertainty checks, and reproducible training pipelines.
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