This tutorial describes a hybrid approach for classifying ground points from airborne laser scanning (ALS) data. The method combines progressive triangulated irregular network (TIN) densification and point cloud segmentation. First, outliers are removed from the imported ALS point cloud. Then, segmentation is used to group points. Ground points are classified using TIN densification. Finally, a high resolution digital terrain model (DTM) is generated from the ground points and smoothed.