Primjena metoda daljinske detekcije u geološkom kartiranju i istraživanju mineralnih sirovina na području Drniša

undergraduate thesis

• Title (english): Application of remote sensing methods for geological mapping and mineral exploration in the area of Drniš
• Author: Lucija Bakula
• Mentor: Borna Lužar-Oberiter (mentor)
• Committee member: Borna Lužar-Oberiter (predsjednik povjerenstva)
• Committee member: Katarina Gobo (član povjerenstva)
• Committee member: Dražen Kurtanjek (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Geology); Zagreb
• Defense date and country: 2022-09-22, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Geology; Geology and Paleontology

Abstract

Primijenjena je metoda daljinskih istraživanja na područje okolice Drniša metodom nenadzirne K-means klasifikacije. Analogne geološke karte su digitalizirane i podaci pripremljeni za rad koristeći softverske alate PhotoFilter7 i ArcGIS Pro. Satelitske snimke preuzete su iz besplatnih izvora i obrađene u SNAP programu ESA-e. Nakon zasebne obrade karata i satelitskih snimaka svi podaci su uspoređeni. Klasifikacijom su uspješno odvojene vodene površine, kvartarni nanosi i karbonatne naslage, te se dobivene granice dovoljno dobro podudaraju sa granicama na postojećim geološkim kartama. Nadalje, opažaju se moguća nalazišta starijih, evaporitnih nalaga unutar Petrovog i Kosovog polja. Razmatra se točnost nenadzirne K-means klasifikacije, kao i prednosti i mane takve metode u njenoj primjeni za geološko kariranje i mogućnost detekcije mineralnih sirovina.

Abstract (english)

The remote sensing method was applied to the area around Drniš using the method of unsupervised K-means classification. Analog maps were digitized and processed for work using PhotoFilter7 and ArcGIS Pro. Satellite images were downloaded from free sources and refined in the SNAP program of ESA. After separately processing older maps and satellite images, the resulting images were qualitatively compared. The classification successfully separated water surfaces, Quaternary sediments and carbonate deposits, and the obtained boundaries match well enough with the boundaries on existing geological maps. The precision of the unsupervised K-means classification is discussed, as well as the advantages and disadvantages of such a method in use for geological mapping and possible mineral exploration.

• Keywords: daljinska detekcija; geološko kartiranje; Drniš; mineralne sirovine
• Keywords (english): remote sensing; geological mapping; Drniš; mineral exploration
• Language: croatian
• URN:NBN: urn:nbn:hr:217:214106
• Study programme: Title: Undergraduate university study of Geology; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) geologije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) geologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-01-16 11:54:01