Application of GIS and remote sensing in mineral exploration: current and future perspectives

Abstract

Purpose This paper aims to give an oversight of what is being done by researchers in GIS and remote sensing (field) to explore minerals. The main objective of this review is to explore how GIS and remote sensing have been beneficial in identifying mineral deposits for easier and cost-effective mining. Design/methodology/approach The approach of this research used Web of Science to generate a database of published articles on the application of GIS and remote sensing techniques for mineral exploration. The literature was further digested, noting the main findings, adopted method, illustration and research scales. Findings When applied alone, each technique seems effective, but it is important to know that combining different methods is more effective in identifying ore deposits. Originality/value This paper also examined and provided possible solutions to both current and future perspective issues relating to the application of GIS and remote sensing to mineral exploration. The authors believe that the conclusions and recommendations drawn from case studies and literature review will be of great importance to geoscientists and policymakers.

Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang

“…To some degree, information on underground and deep mineralization geological features can be obtained, and mineralization information can be acquired at multiple levels and from multiple aspects (Ahmad et al, 2016;Pour et al, 2018;Eldosouky et al, 2021;Li, 2021;Peyghambari and Zhang, 2021;Gil et al, 2023). The application of remote sensing technology in mineral prospecting and prediction is a direct reflection of the application of modern high-tech methods in the field of mineral exploration (Ali and Ghoneim, 2022;Shirmard et al, 2022;Ousaid et al, 2023;Tagwai et al, 2023). Currently, remote sensing technology is constantly maturing and has been commonly used in lithology identification, tectonic information interpretation, mineralization and alteration information extraction and other geological and mineral prospecting prediction tasks.…”