M2 LiDAR
This module taught us how to process compressed LiDAR data (.laz files) and convert them into usable datasets for forest analysis in ArcGIS Pro.We built and distinguished between Digital Elevation Models (DEMs) that represent bare ground and Digital Surface Models (DSMs) that capture the forest canopy, understanding how different point classifications create these critical layers. The core forest measurement technique involved calculating tree heights by subtracting ground elevation from surface elevation (DSM - DEM = Height), providing precise vegetation measurements across the landscape. We developed skills in creating canopy density maps by analyzing the ratio of vegetation points to total LiDAR returns, giving foresters essential information about forest biomass and coverage intensity. Below, I have my final product showing the canopy density near Big Meadows recreation area in Shenandoah National Park.