IzvlečekUDK 911.2:551.432(234.323.6) Tamás Telbisz, László Mari & Lénárd Szabó: Geomorfološke značilnosti italijanske strani Kaninskega masiva (Julijske Alpe), ugotovljene z uporabo digitalnega modela reliefa in te� renskim opazovanjem V prispevku je na primeru Kaninskega masiva prikazano, kako z uporabo GIS tehnologij lahko preučujemo visokogorska kraška območja. Histogrami nadmorske višine in naklona na primeru Kanina kažejo na razlike med nivoji planot ter razlike v procesih med severnim, zahodnim in južnim delom pogo rja. Na osnovi karte grebenov in dolin, narejene iz digitalnega modela višin ter analize profila dolinskega dna smo potrdili pretekle spremembe smeri odvodnjavanja severnega dela Kanin ske planote. Na podlagi podatkov o naklonu smo določili potencialna območja akumulacije snega oz. snežišč in nunatakov. V okviru raziskave so bile narejene tudi skice geomorfoloških kart in statistična analiza zaprtih kotanj, ki nakazujejo na mlado površinsko zakrasevanje in močan vpliv geoloških struktur. Ugotavljamo, da so kvantitativne in vizualne zmogljivosti GIS-ov uporabne pri prepoznavanju vplivov ledeniških, fluvialnih, strukturnih in kraških procesov. Ključne beside: Kanin, digitalni model relief, glaciokras, GIS, vrtača, morfometrija. In this paper, by the example of Canin Massif, it is demonstrated, how GIS-techniques can be used for the study of high mountain karst terrains. In case of Canin, elevation and slope histograms show characteristic differences in plateau levels and landforming processes between the northern, western and southern sectors of the mountains. Ridge and valley map (derived from the digital elevation model) and thalweg analysis are used to recognize drainage reorganizations north of the Italian Canin plateau. Potential snow accumulation locations and nunataks are determined based mainly on the slope map. Geomorphological sketch maps and statistical analysis of closed depressions are also carried out in this study supporting the relatively young age of superficial karstification and the strong structural impact. Finally, it is concluded, that quantitative and visual capabilities of GIS are useful in discriminating the effects of glacial, fluvial, structural and karst processes.