Forest inventory is a systematic process of collecting, managing, and analyzing geospatial data to quantify and characterize forest resources across defined landscapes. As a GIS use case, it integrates remote sensing imagery, LiDAR point clouds, aerial photography, and field-collected attribute data within a spatial analysis framework to produce accurate, scalable assessments of tree species composition, stand density, biomass distribution, canopy cover, and terrain characteristics.

GIS technology enables analysts to overlay multiple spatial datasets, apply classification algorithms, and generate high-resolution mapping outputs that delineate forest boundaries, identify disturbance zones, and model timber volumes across large geographic extents. Workflows commonly incorporate satellite-derived vegetation indices, digital elevation models, and GPS-referenced ground truth data to ensure spatial accuracy and analytical reliability.

The practical benefits are substantial: forest managers gain actionable intelligence for sustainable harvesting, conservation planning, carbon stock estimation, and wildfire risk assessment. GIS-driven forest inventories also support regulatory compliance, biodiversity monitoring, and ecosystem services valuation by delivering repeatable, spatially explicit results that traditional survey methods cannot efficiently provide at regional or national scales.