Advancements in remote sensing technologies, particularly Digital Elevation Models (DEMs) and Geo-graphic Information Systems (GIS), have significantly improved the accuracy, efficiency, and computa-tional speed of morphometric index calculations and analyses. Horizontal and vertical dissection are es-sential parameters used to characterize topographic features and the degree of terrain dissection. These analyses are primarily based on factors such as drainage density and the spatial distribution of land-forms. However, to date, there is no fully automated method or software tool available for the direct computation of these parameters. This study aims to calculate these parameters using GIS-based meth-odologies within ArcMap 10.4.1 software by leveraging ALOS-PALSAR satellite-derived DEM data with a 20-meter resolution. A 2×2 km grid of interpolation points was generated to facilitate the computation of the dissection index, with Inverse Distance Weighting (IDW) identified as the most suitable interpolation method. The analysis of horizontal and vertical dissection can contribute to a better understanding of the spatial distribution of morphogenetic processes, serving as a fundamental tool for landform segmenta-tion and geomorphological mapping. Furthermore, it can be applied in various fields, including landscape unit classification, pedogenesis-morphogenesis equilibrium studies, and environmental assessment.