Model for Automated Generation of DTM with Hybrid Data Structure Using Point Clouds

In this paper, a model has been created for the automated generation of DTM (Digital Terrain Models) using a hybrid data structure based on LiDAR (Light Detection and Ranging) data. The automated process facilitates the creation and implementation of both simplified and complex DTMs using hybrid data structure. The classification of terrain into various classes is achieved through the application of the slope parameter. This model can be applied to the entire area or a specific area of interest by loading the boundaries and offers the optional capability to implement structural terrain lines in the form of watersheds. The proposed model addresses the challenge of generating DTMs in rapidly changing terrain and areas with complex landscapes, providing solutions to enhance DTM generation performance. Alongside the hybrid DTM structure, the developed model introduces a hierarchical grid with three different spatial resolutions, allowing users to adjust them based on specific requirements. The model is designed to adapt to the terrain, creating a hybrid data structure that combines the benefits of the GRID and TIN (Triangulated Irregular Network) approaches. The development and implementation of the model were carried out in ModelBuilder, within the ArcMap software environment