Integration of remote sensing and GIS for mineral exploration and resource estimation in complex geological terrains

The integration of Remote Sensing and Geographic Information Systems (GIS) has transformed mineral exploration by enabling rapid, synoptic, and cost-effective assessment of complex geological terrains. Modern exploration increasingly relies on multispectral, hyperspectral, and radar-based remote sensing techniques to detect surface mineralogical signatures, structural discontinuities, alteration zones, and geomorphological features that traditionally required extensive ground surveys. These technologies provide continuous spatial coverage and the ability to monitor inaccessible or rugged regions, offering a broader perspective on regional geology and mineralization patterns before narrowing down to high-potential targets. Within this broader framework, GIS serves as the analytical backbone for organizing, integrating, and interpreting heterogeneous geoscientific datasets. By combining satellite imagery, geophysical surveys, geochemical samples, digital elevation models, and structural information, GIS enables multi-criteria decision analysis and spatial modeling to prioritize exploration zones. Advanced techniques such as spectral unmixing, lineament extraction, mineral mapping algorithms, and spatial probability modeling further refine the identification of ore-bearing lithologies and hydrothermal alteration systems. These integrations enhance predictive accuracy, reduce exploration risk, and optimize resource allocation. Narrowing the focus to resource estimation, remote sensing-derived datasets increasingly support quantitative assessments by delineating ore boundaries, estimating volumetric extents, and improving the resolution of 3D geological models. Machine learning and geostatistical techniques embedded within GIS platforms allow extrapolation of subsurface characteristics from surface indicators, improving preliminary reserve classification. Furthermore, these integrated workflows facilitate sustainable exploration by reducing environmental footprints and guiding targeted field verification campaigns. Overall, the combined use of remote sensing and GIS presents a powerful, data-driven approach to mineral exploration and resource estimation, providing both a comprehensive regional overview and precise, high-resolution insights necessary for modern mining decision-making.