Abstract
The complex interaction between Earth’s surface forms and the processes shaping them is a focal point of research by geomorphologists as well as other experts from related geoscientific fields . While traditional methods remain widely used, an increasing number of modern approaches frequently offer innovative solutions through the application of artificial intelligence (AI) techniques. Computer intelligence, as a key tool alongside Geographic Information Systems (GIS), remote sensing and other contemporary advanced technologies, fosters collaboration and knowledge exchange across physical geography disciplines. This interdisciplinary approach aims to address complex geomorphological challenges, mitigate natural hazards and develop optimal solutions. By integrating artificial intelligence, GIS, remote sensing, machine learning and geophysical techniques, new possibilities emerge when combined with existing methods and techniques. The paper provides an overview of the potential applications of artificial intelligence today in geosciences and explores its subfields in the context of geomorphological research. Specific advantages and limitations associated with these methods are also analyzed.
Keywords: artificial intelligence, geosciences, geomorphology, machine learning, GIS