Application of Physical Geomorphometry in Digital Geomorphological Mapping

This study builds on the principles of physical geomorphometry, focusing on the relationship between gravitational energy and geomorphometric variables. We applied a modified version of the algorithm for physically-based elementary land surface segmentation which also integrates dynamic least squares (DLS) generalization and GEOBIA. The modified algorithm produced plausible and genetically interpretable results in both areas, reinforcing the value of physical geomorphometry for geomorphological mapping. Additionally, we introduced the concept of a physical-geomorphometric signature, which proved highly effective for quantitatively comparing different genetic groups of landforms.