MULTISPECTRAL ANALYSIS OF ASTER DATA FOR REMOTE SENSING OF PORPHYRY COPPER DEPOSITS

https://doi.org/10.48498/minmag.2025.242.6.008

Porphyry copper deposits are key sources of Cu, Mo and Au, requiring eff ective exploration methods. ASTER multispectral data enables mapping ore-bearing zones by identifying hydrothermal alterations. This study explores FeOH, AlOH and MgOH indices, along with ASTER thermal channels, to detect minerals linked to ore bodies. The eff ectiveness of these indices in delineating argillic (sericite-kaolinite) and propylitic (chlorite-epidote) alteration zones is analyzed. A comparative analysis of ASTER data processing approaches and successful applications in various ore-bearing regions is conducted. The results can enhance remote mapping techniques and optimize porphyry copper deposit exploration.

*M.A. Alpysbay, A.B. Umirbaeva, Zh. Kozhaev, N. Mussakhan