Copper and Mineral Deposit Detection from Multispectral Imagery

Screen prospective ground before mobilizing drill crews. Klarety processes Sentinel-2 multispectral signatures to detect hydrothermal alteration zones and gossan expressions indicative of copper mineralization, then maps probability scores by area. Exploration teams reduce drill target count — backed by satellite data, not just field guesswork.

Mineral screening before mobilizing drill crews

Klarety AI
Klarety AI chat composer interface

Mineralization probability maps from one prompt

Klarety agents process multispectral signatures and return hydrothermal alteration probability maps for greenfield screening.

Sentinel-2
Klarety satellite analysis output

Clay and iron oxide band ratio detection

Agents compute argillic alteration, gossan, and iron oxide band ratios indicative of porphyry copper and base metal systems.

GIS Output
Klarety AI map annotation overlay

Alteration layers for exploration GIS and 3D models

Export alteration zone polygons with mineralogy classification for drill target GIS and Leapfrog model integration.

Sentinel-2 band ratio mineralization probability mapping

Klarety agents compute clay mineral, iron oxide, and ferrous iron band ratios from Sentinel-2 SWIR and VNIR bands to map argillic alteration and gossanous outcrop. Ratio composites are scored using principal component analysis to isolate hydrothermal signatures from natural soil background. Output is a mineralization probability raster and annotated alteration polygon shapefile.

Klarety AIScreen mineral deposits in your prospect area
analysis/copper_deposit_screening.pyAgent code
output/copper_screening_report.mdOutput report

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