Semi-automated recognition of planation surfacesand other flat landforms: a case study from theAggtelek Karst, Hungary

Researchers identified the r.geomorphon module as the most effective method for semi-automated recognition of planation surfaces and other flat landforms in the Aggtelek Karst, Hungary. These surfaces serve as morphological indicators of different evolutionary stages, correlating with cave levels formed under stagnant erosion base conditions. The study tested multiple methods, including slope gradient thresholding and r.param.scale modules, but found that r.geomorphon best delineated relatively flat surfaces corresponding to phases of the Jósva River incision. This approach offers a new tool for reconstructing the comprehensive evolution of karst landscapes, with implications for understanding similar geological formations in UNESCO World Heritage Sites like the Aggtelek Karst and Slovak Karst.

Veselský, M., Bandura, P., Burian, L., Harciníková, T., & Bella, P. (2015). Semi-automated recognition of planation surfacesand other flat landforms: a case study from theAggtelek Karst, Hungary. Open Geosciences, 7(1). https://doi.org/10.1515/geo-2015-0063