Geological interpretation is the process of analyzing and mapping subsurface and surface Earth features by integrating geospatial data to identify lithological units, structural formations, fault systems, and mineralization zones. Within a GIS framework, geologists and geospatial analysts leverage spatial analysis tools to process and correlate diverse datasets, including satellite imagery, digital elevation models (DEMs), seismic surveys, borehole logs, and geochemical sampling data, into coherent, spatially referenced outputs.

GIS technology enables practitioners to overlay multiple data layers, apply raster and vector analysis techniques, and generate predictive geological models that reveal subsurface patterns not immediately visible through traditional mapping methods. Advanced workflows often incorporate remote sensing classification, 3D terrain visualization, and geostatistical interpolation to enhance interpretive accuracy across large or geologically complex study areas.

The practical benefits are significant. Geological interpretation through GIS accelerates resource exploration, improves hazard assessment for seismic and landslide risks, supports environmental impact studies, and informs infrastructure planning decisions. By consolidating multisource geospatial data into a unified analytical environment, GIS dramatically improves both the precision and efficiency of geological mapping workflows.