Remote sensing applied in the identification of exploratory targets in the province of San Miguel, Cajamarca, 2024

Abstract

The research is based on the need to improve efficiency and precision in mineral prospecting in hard-to-reach regions, taking advantage of advanced technologies. Its main purpose is to apply remote sensing methods, with a focus on the analysis of ASTER images, to locate areas with potential mineral. The methodology used is applied and not experimental, analyzing phenomena without manipulating variables. A transversal approach was used to interconnect variables related to mineralization, and indices such as NDVI and NDWI were applied to minimize atmospheric and vegetative interference. Likewise, techniques such as: band combination, band mathematics, band ratios and the Spectral Angle Mapper (SAM) method were used in order to remotely detect the greatest coincidence of anomalies for the identification of each target. The results include the identification of 5 exploratory targets, each with significant spectral anomalies. These findings highlight areas with potential for mineral prospecting. In conclusion, the study shows that remote sensing is an effective tool for the exploration and detection of mineral resources, allowing a detailed preliminary analysis of large areas, which saves time and resources in future exploration campaigns.