An algorithm of automated karst depression recognition uses a digital terrain model (DTM) and mainly applies the methods of a moving window with a kernel size of 3 3 cells using focal functions. It ...is divided into four parts: watershed calculation, depression delineation, higher level depression delineation and elimination of non-karst depressions. The essential part of the algorithm is the delineation of depression by the elevation of the lowest border cell of watershed. Depressions at higher levels are recognised by filling previously recognised depressions. The performance of algorithm was tested on test area in the Kras region (Slovenia) using DTMs with a spatial resolution of 12.5 m and 3 m. The results mainly depend on the DTM characteristics and quality, especially of their spatial resolution.
Prostor je nujen kot zrak, ki ga dihamo, je prostor na katerem stojimo in po katerem hodimo ter se premikamo. Človek je s prostorom, je del prostora in ne more biti odsoten iz prostora. Če obstajamo, ...moramo biti nekje, to pa pomeni, da moramo biti z določenim prostorom. Prostor nas vedno obdaja. Živimo s prostorom, z njim smo v določenih razmerjih z ljudmi in z njim umremo. Članek prikazuje znotraj tega konteksta številne probleme, ki izhajajo iz analitičnega pristopa k vrednotenju različnih pomenov prostora.
The purpose of this paper is a description of development of the automated methods for determination and analysis of peaks and shapes as the upper part of the rising ground. The determination of ...local peaks by means of the digital terrain model (DTM) on the basisof a moving window of 3 by 3 grid cell analysis is facilitated by almost each software for raster-based data analysis. The definition of characteristic peaks, which are subjectively determined by mountaineers according to topographical, geomorphological andmountaineering criteria, is a more important problem. The topographical and geomorphological criteria were handled with automated algorithms. The points and potential surfaces of the peaks were calculated. From the potential surfaces the shapes of sharp, blunt, oblong and conical peaks were identified. The number andlocations of the peaks determined by automatic methods do not differ against the reference data more than the various subjective human-based methods differentiate among each other. The advantages of theautomated approach are that the parameters are standardised and the results more comparative, more objective, and therefore of higher quality. The study area was the Kamnik Alps and the data of the DTMof Slovenia with a resolution of 12.5, 25 and 100 m, respectively.
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