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1,107 Views

32 Pages

Evaluation of Supervised Machine Learning Algorithms for Mapping Hydrothermal Alteration Zones Associated with Porphyry Copper Mineralization Using ASTER Satellite Imagery

Mahin Rostami and
Amin Beiranvand Pour

Mining2026, 6(2), 42;https://doi.org/10.3390/mining6020042

16 June 2026

Hydrothermal alteration mapping is a critical component of porphyry copper exploration because alteration assemblages provide important vectors toward mineralization. This study presents a systematic evaluation of supervised machine learning algorith...

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23 Pages

ASTER Mineral Mapping of Beresite–Listvenite Gold Systems in West Kalba, East Kazakhstan

Yertay Yeskaliyev,
Marzhan Rakhymberdina,
Roman Shults,
Asel Akilbaeva and ,
Karel Pavelka and
Mohammad Suhail
+ 1 author+ 0 author

Geosciences2026, 16(7), 266;https://doi.org/10.3390/geosciences16070266

2 July 2026

Multispectral satellite imagery is a very useful technique to identify altered wall rocks around orogenic gold systems. In this study in the Akzhal–Vasilyevskoye district, Kazakhstan, we show that a geology-based ASTER band-ratio workflow is a...

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