Elevation-Based Segmentation of Point Cloud Data: Extracting LAS Datasets by Defined Elevation Ranges (e.g., 0-2m, 2-5m, 5-10m)

Elevation-based segmentation of point cloud data allows for the filtering of LAS datasets by specific elevation ranges, enabling focused analysis of vertical layers in a landscape. This technique simplifies the examination of features such as ground surfaces, vegetation, buildings, and utility poles, while enhancing data management and processing efficiency. By isolating relevant elevation bands, processing loads are reduced, leading to faster analyses. Practical example applications of this approach include assessing terrain slopes for sewer line installation and isolating low-lying vegetation or tall buildings in urban environments. Each case highlights the benefits of elevation-based segmentation in point cloud analysis. This study demonstrates the effectiveness of this technique using SGIS v.R.