Identification of prospective targets in mining, applying ASTER images, Michiquillay-Cajamarca, 2023

Franco Albaro R.; Raico Karol Mayra V.; Pérez Shonel Miguel C.; Ricardo Portilla Castañeda M. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.1044

Resumen

This work uses remote sensing as a useful tool in mining exploration, optimizing time, costs, logistics, and accessibility.The objective is to identify prospective targets by processing ASTER images in the Michiquillay area in the department of Cajamarca, Peru.The research is of an applied type, with a quantitative approach of descriptive scope and non-experimental design, having the ASTER image as the population.The combination of RGB 321 bands identifies oxides; the RGB 468 combination highlights hydrothermal alteration, revealing five areas of interest.Applying band mathematics (B4+B6)/B5 (advanced argillic alteration), (B5+B7)/B6 (phyllic alteration), (B7+B9)/B8 (propylitic), three areas were evidenced that coincide with areas highlighted by band combination.In addition, the combination of band ratios 4/6, 5/8, 3/4; 7/6, 5/6, 9/8; 4/2, 4/5, 5/6; 6/5, 7/6, 5/8 was applied, detecting four areas, three of which were already identified and a new area to the north of the study area.These results show a high relationship between the three applied methods.In conclusion, the combination of bands, band mathematics, and band ratio combination allowed the identification of a total of six prospective areas of interest located to the northwest, southeast, southwest, and north of the study area.

Instituciones: Universidad Privada del Norte