Track 1: AI and Data-Driven Decision Making

Figure 1 – Study area reference map, grid sample area, ASTER images used, geochemical stream sediment and rock location, geological units located, and RTP magnetic anomalies reclassified, Arequipa region ● ASTER Imagery: Forty-six spectral combinations were processed to map hydrothermal alterations (phyllic, argillic, propylitic) and specific minerals (alunite, kaolinite, among others) (Origel-Gutiérrez & Cárdenas, 2010; Palomares et al., 2016). ● Geology: Weight values were assigned to cartographic units based on their mining potential (e.g., Quaternary deposits: 0; sedimentary: 2; volcanic: 3; metamorphic: 1; gabbro: 5; monzonite: 6; granite: 7; granodiorite: 8; tonalite: 9; diorite: 10; hydrothermal breccias: 11). ● Structures (Faults): Fault lines were converted into influence areas with buffers of 500,

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