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https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1 For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here: Golden droplets- https://shorturl.at/fetV1 Geovoices- https://tinyurl.com/m23pp4pb News about geology- https://tinyurl.com/3979urhy Discover how to optimize mineral exploration and structural geology using advanced lineament analysis, 3D physical modeling, and the Range Correlation Coefficient (R.C.C.™) to identify high-probability target zones. This comprehensive tutorial for junior and senior geologists, students of earth science, and ore prospectors explores AI applications in mining and machine learning-driven automated lineament extraction using multispectral data from Landsat 9 OLI, Sentinel-2, and the vegetation-penetrating capabilities of Sentinel-1 SAR. By integrating geomathematical models like the "Look-alike" method with available geochemical and geophysical datasets, geoscientists can effectively characterize tectonic structures and identify promising hydrocarbon traps or groundwater reservoirs in challenging hard-rock environments (Mohammed et al., 2010; Prabu & Rajagopalan, 2013; Valls Geoconsultant, 2025). The strategic application of 3D plastic and elastic strain simulations helps locate dilation zones where mineralization is most likely to accumulate, enabling exploration teams to reduce initial survey areas by 50% to 75% while significantly minimizing operational costs (Valls Geoconsultant, 2025; Alaoui et al., 2025). Advanced evaluation frameworks now incorporate knowledge-based systems and multi-criteria decision analysis (MCDA) to ensure high correlation between extracted linear features and verified geological structures (Alaoui et al., 2025; Gannouni et al., 2025). This fast method leverages high-resolution satellite imagery and the all-weather performance of radar sensors to provide a consistent interpretation across massive datasets, offering a robust and objective alternative to resource-intensive traditional field mapping (Choudhury et al., 2025; El-Sawy et al., 2016; Farmonaut, 2025). These innovative digital workflows represent the future of gold exploration and copper prospecting, delivering unprecedented efficiencies and higher discovery rates in structurally complex and previously inaccessible terrains (Alaoui et al., 2025; Farmonaut, 2025). The bridge between Academy and Industry! P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets #valls_geoconsultant #LineamentAnalysis #MineralExploration #GeologyTech Some references Valls Geoconsultant. (2025). Lineament analysis explanation 2025.. Valls Geoconsultant. (2025). Strategic Integration of Multi-Scale Lineament Analysis for Economic Georesource Discovery: A Technical Assessment of Structural Controls in Mineral, Hydrocarbon, and Hydrogeological Exploration.. Valls, R. (2014, January 23). Dr. Vadim Galkin explains the lineament analysis method [Video]. YouTube. https://www.youtube.com/watch?v=F0O5rX1M5S0. Valls, R. (2014a). How to find your next deposit [Video]. YouTube. https://www.youtube.com/watch?v=G1X1X0X8_0. Valls, R. (2014b). Ricardo Valls How to find your next deposit with video [Video]. YouTube. https://www.youtube.com/watch?v=H1X1X0X8_0. Valls, R. (2020a). Golden Droplets Episode 18- lineament analysis [Video]. YouTube. https://www.youtube.com/watch?v=E1X1X0X8_0. Valls, R. (2020b). Golden Droplets Episode #19- lineament analysis part Two [Video]. YouTube. https://www.youtube.com/watch?v=V9X9eX0X8_0. Valls, R. (2021, March). Como encontrar su proximo deposito 2021 [Video]. YouTube. https://www.youtube.com/watch?v=D-W5zVlU8_w. Valls, R. A. (2014). Updated Technical Report Geghi Ore Belt, Kapan, Armenia. Geghi Gold LLC..