摘要：Abstract
This study deals with the possibilities of expertdriven
semi-automated recognition of planation surfaces
and other flat landforms in the area of the Aggtelek Karst,
Hungary. Planation surfaces are the most debatable and
vague landforms and can be defined as parts of terrain
formed by long-lasting erosion-denudation processes under
the stagnant erosion base conditions. In terms of denudation
chronology they can be considered as morphological
indicators of different evolution stages of area. In
karst areas planation surfaces and river terraces are mostly
correlated with cave levels, which originated in relation to
the same stagnant erosion base. Because there is no general
method of delineation of planation surfaces, the main
objective of the study was to find a suitable method for
semi-automated recognition of flat landforms in the Aggtelek
Karst, which should correspond to different phases
of the Jósva River incision and therefore could be correlated
to the multilevel cave system of the study area.
Several methods for semi-automated landform classification
were tested for recognition of flat surfaces in a relatively
objective way. Slope gradient thresholding tool, and
r.param.scale and r.geomorphon modules implemented in
GRASS GIS were tested. As a result, the r.geomorphon
module was proven as the most suitable method for delineation
of relatively flat surfaces. Findings of the presented
work can be used as a morphological indicator of
the comprehensive reconstruction of evolution of the Aggtelek
Karst and the Slovak Karst.
