Mineral Exploration

Mineral exploration is undergoing a transformation driven by the need for efficient and sustainable resource discovery. Research focuses on integrating advanced geophysical techniques, such as ambient noise tomography, with artificial intelligence and machine learning algorithms (including support vector machines and deep learning models like nnU-Net) to improve the accuracy and speed of mineral deposit identification and characterization. This involves optimizing data acquisition methods using UAVs equipped with various sensors and developing sophisticated data processing and interpretation workflows. These advancements are crucial for addressing global resource demands, particularly for critical minerals needed in renewable energy technologies, and improving the efficiency and sustainability of mineral extraction.