Geomorphometry of the physical and geographical microregion of the Polkowice Hills
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Faculty of Geoengineering, Mining and Geology
Department of Geodesy and Geoinformatics
Wrocław University of Science and Technology
Submission date: 2021-04-07
Final revision date: 2021-05-25
Acceptance date: 2021-05-27
Publication date: 2021-06-30
Corresponding author
Paulina Bidzińska
Faculty of Geoengineering, Mining and Geology, Department of Geodesy and Geoinformatics, Wrocław University of Science and Technology,
50-421 Wrocław, ul. Na Grobli 15
Geomatics, Landmanagement and Landscape 2021;(2)
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ABSTRACT
In this paper, a morphometric analysis of the terrain sculpture was carried out along with the editing of a geomorphometric map of the physical and geographical microregion of the Polkowickie Hills, which so far was not present in the literature for the studied area. The analysis was performed using the GIS program (ESRI ArcMap), which is based on a digital elevation model (LiDAR - DEM). Following primary topographic parameters were selected through digital elevation model processing: aspect, slope, planar curvature, vertical curvature and local height diff erece, which provide exact information about the variability of the topography and its surface morphological processes. The obtained results of primary parameters allowed for the classifi cation of relief forms in the studied area using the unsupervised ISODATA classifi cation method. The fi nal stage consisted of editing a geomorphometric map of the Polkowickie Hills microregion and a presentation of the distribution of morphometric classes with the height division of boundaries of the obtained geomorphometric separations.
The results of the calculations and analyses allowed for the separation of various areas in the Polkowice Hills, and giving them their own names by the author. The choice of the unsupervised classifi cation method and the independent defi nition of the number of classes gave positive results of terrain clustering of the studied area. The compliance of the results of the selected classifi cation method with the actual topography (of which the author has extensive fi eld and observational knowledge) confi rms the selection of appropriate geomorphometric indicators and the unsupervised classifi cation method, which in the examined case turned out to be computationally eff ective.