Morfometrijska analiza krških reljefnih oblika temeljena na LiDAR-skim podacima - primjer NP Plitvička jezera

master's thesis

• Title (english): Morphometric analysis of karst forms based on LiDAR data - example from Plitvička jezera NP
• Author: Lidija Kožar
• Mentor: Neven Bočić (mentor)
• Committee member: Neven Bočić (predsjednik povjerenstva)
• Committee member: Mladen Pahernik (član povjerenstva)
• Committee member: Luka Valožić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Geography); Zagreb
• Defense date and country: 2020-02-27, Croatia
• Scientific / art field, discipline and subdiscipline: INTERDISCIPLINARY AREAS OF KNOWLEDGE; Geography

Abstract

Morfometrijska analiza temeljila se na digitalnom modelu reljefa razlučivosti 0,5 × 0,5 m, izrađenog LiDAR-skim snimanjem. Obodi depresija su izlučivani poluautomatskom metodom, kojom se izvela klasifikacija ponikava u redove. Na temelju ponikava prvog reda su izrađene analize reljefnih atributa (dubina, indeks kružnosti, orijentacija, volumen, površina) i analize prostornih statistika (indeks okršenosti, prostorna gustoća ponikava, mjera disperzije). Zaključeno je kako su ponikve proučavanog područja korozijskog postanka. Dominantni pravac pružanja je N-S, uvjetovan litologijom i tektonikom. Najveća gustoća ponikava je na rudistnim vapnencima, a distribucija ponikava je disperzna. Potrebno je izvršiti dodatna terenska istraživanja kako bi se utvrdio nastanak depresija viših redova.

Abstract (english)

Morphometric analysis was based on a digital elevation model of 0.5 × 0.5 m resolution, derived from LiDAR surveying method. The rims of depressions were delineated by a semi-automatic method, which was used for classifying sinkholes into different levels. Based on the data of level-1 sinkholes, the analysis of relief attributes (depth, circularity index, orientation, volume, area) and the analysis of spatial statistics (pitting index, sinkhole density, dispersion patterns) were made. It was concluded that the sinkholes of the studied area are of corrosive origin. Dominant orientation of the longest axis of sinkholes is N-S, conditioned by lithology and tectonics. Highest sinkhole density was observed on rudist-bearing limestones, and the distribution of sinkholes is dispersed. Additional field research needs to be conducted in order to determine the occurrence of depressions on higher levels.

• Keywords: ponikve; LiDAR; morfometrija; orijentacija; krš; Plitvička jezera
• Keywords (english): sinkholes; LiDAR; morphometry; orientation; karst; Plitvice lakes
• Language: croatian
• URN:NBN: urn:nbn:hr:217:263210
• Study programme: Title: Geography; specializations in: Physical Geography with Geoecology, Spatial Planning and Regional Development, Heritage and Tourism, Geographic Information Systems; Course: Geographic Information Systems; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra geografije (magistar/magistra geografije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-05-25 17:29:37