Subsurface mapping is a specialized GIS use case focused on visualizing, analyzing, and interpreting geological, hydrological, and engineered features located beneath the Earth's surface. By integrating geospatial data from sources such as borehole logs, seismic surveys, ground-penetrating radar, and LiDAR, GIS professionals construct detailed three-dimensional spatial models that accurately represent subsurface conditions, stratigraphy, and infrastructure networks.

GIS technology enables analysts to interpolate sparse point data across continuous spatial extents using geostatistical techniques such as kriging, enabling the creation of high-resolution depth contours, cross-sections, and volumetric models. Spatial analysis tools further support the identification of fault lines, aquifer boundaries, soil composition variations, and buried utility corridors with measurable precision.

The practical benefits of subsurface mapping span multiple industries, including environmental remediation, oil and gas exploration, urban infrastructure planning, and geotechnical engineering. Decision-makers gain actionable insight into subsurface risk factors, resource distribution, and construction feasibility, reducing costly surprises during excavation or drilling operations. Ultimately, GIS-driven subsurface mapping transforms complex, invisible datasets into accessible, decision-ready geospatial intelligence.