Land use change refers to the transformation of land from one classification to another over time — such as the conversion of agricultural areas to urban development, deforestation, or wetland degradation. As a GIS use case, it involves the systematic acquisition, processing, and spatial analysis of multi-temporal geospatial data to detect, quantify, and visualize these transformations across defined geographic extents.

GIS technology enables analysts to integrate satellite imagery, aerial photography, cadastral records, and remote sensing datasets within a unified geospatial framework. Using change detection algorithms, supervised classification techniques, and overlay analysis, professionals can compare land cover and land use datasets across distinct time periods to identify patterns, rates, and drivers of change with high spatial precision.

The practical benefits are significant. Land use change mapping supports environmental impact assessments, urban planning, carbon accounting, and policy development. It provides decision-makers with actionable intelligence derived from authoritative spatial data, improving resource management and regulatory compliance. For GIS professionals, this use case demonstrates the full analytical capability of modern geospatial platforms in addressing complex, real-world land management challenges.