Primjena bespilotne letjelice u geomorfološkoj analizi ponikava

master's thesis

• Title (english): The application of unmanned aerial vehicles (UAV) in geomorphological analysis of dolines
• Author: Dominik Karčić
• Mentor: Sanja Faivre (mentor)
• Committee member: Sanja Faivre (predsjednik povjerenstva)
• Committee member: Luka Valožić (član povjerenstva)
• Committee member: Marin Mićunović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Geography); Zagreb
• Defense date and country: 2023-02-20, Croatia
• Scientific / art field, discipline and subdiscipline: INTERDISCIPLINARY AREAS OF KNOWLEDGE; Geography

Abstract

U radu je ispitana primjena bespilotne letjelice u geomorfološkoj analizi ponikava s pretpostavkom njene jednostavne upotrebe, visoke preciznosti i relativne brzine procesa u odnosu na tradicionalne načine analize prostora. Podaci za generiranje modela prikupljeni su pomoću bespilotne letjelice i GNSS uređaja, a konačni model imao je prostornu rezoluciju od 2.8 cm. Generirani modeli su međusobno uspoređeni, a za daljnju analizu odabran je model koji prikazuje istraživani prostor s najmanjom greškom. Unutar odgovarajućih softvera provedena je detaljna geomorfološka analiza, a dobiveni rezultati su uspoređeni s postojećim podacima s TK25 i HOK-a. Poluautomatskim izdvajanjem oboda ponikava pomoću modificirane MDTA metode (mMDTA) i metode nagiba padina (MNP) detektirano je preko 50% više ponikava od onih na dostupnim kartografskim izvorima, bez obzira na otežavajući faktor prisutne vegetacije. Izdvojene ponikve detektirane su na modelu koji ima prosječno odstupanje nadmorske visine od 37 cm u odnosu na kontrolne točke prikupljene pomoću GNSS uređaja. Metodom nagiba padina izdvojeno je 18,4% više ponikava nego modificiranom MDTA metodom, uz značajnu razliku u njihovim morfometrijskim pokazateljima. Analizom rezultata utvrđenu je kako je MNP metoda pogodnija za detektiranje ponikava dok mMDTA metoda pruža kvalitetnije podatke za geomorfološku analizu. Utvrđeno je kako se bespilotnom letjelicom na brz i jednostavan način mogu napraviti modeli prostora visoke razlučivosti koji su pogodni za detaljnu geomorfološki analizu.

Abstract (english)

This thesis examines the use of an unmanned aerial vehicle (UAV) in the geomorphological analysis of dolines assuming that it is easy to use, has high precision and can be processed relatively quickly compared to traditional methods of spatial analysis. Data for creation of the model was collected using UAV and GNSS receiver. The final model achieves a spatial resolution of 2.8 cm. The generated models were compared and the model with the lowest error was selected for further analysis. A detailed geomorphological analysis was carried out in the appropriate software and the results were compared with the existing data from TK25 and HOK. Semi-automatic extraction of the doline edges using the modified MDTA method (mMDTA) and the slope method (MNP) detected more than 50% of dolines compared to the available cartographic sources, regardless of the presence of vegetation. Separated dolines were detected on the DEM, which has an average height deviation of 37 cm compared to the control points collected using the GNSS device. The slope method extracted 18.4% more dolines than the modified MDTA method, with a significant difference in morphometric characteristics. Analysis of the results revealed that the MNP method was better for doline detection, while the mMDTA method provided better data quality for geomorphological analysis. It was found that spatial models with high spatial resolution suitable for detailed geomorphological analyses can be created quickly and easily with a UAV.

• Keywords: Bespilotna letjelica; geomorfološka analiza; ponikve; DEM
• Keywords (english): Unmanned aerial vehicle; geomorphological analysis; dolines; DEM
• Language: croatian
• URN:NBN: urn:nbn:hr:217:983208
• Study programme: Title: Geography; specializations in: Physical Geography with Geoecology, Spatial Planning and Regional Development, Heritage and Tourism, Geographic Information Systems, Course research; Course: Physical Geography with Geoecology; 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: Embargoed access; Embargo expiration date: 2025-02-20
• Created on: 2023-03-13 10:33:29