Nadzirana klasifikacija zemljišnog pokrova na području Daruvara korištenjem Sentinel-2 satelitskih snimaka

master's thesis

• Title: Nadzirana klasifikacija zemljišnog pokrova na području Daruvara korištenjem Sentinel-2 satelitskih snimaka : diplomski rad
• Title (english): Supervised classification of land cover in the area of Daruvar using Sentinel-2 satellite images : master's thesis
• Author: Dino Joščak
• Mentor: Ivan Medved (mentor)
• Committee member: Ivan Medved (predsjednik povjerenstva)
• Committee member: Jasna Orešković (član povjerenstva)
• Committee member: Tomislav Korman (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geophysical Exploration and Mine Surveying); Zagreb
• Defense date and country: 2022-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Geological Engineering

Abstract

Na području Grada Daruvara i okolice analizira se i obrađuje zemljišni pokrov na temelju satelitskih snimki satelita Sentinel-2. Satelitske snimke područja snimljene su unutar vremenskog perioda između 01. lipnja i 01. srpnja 2021. godine. Obrada podataka provodi se u besplatnom geografskom informacijskom sustavu pod nazivom QGIS. Spektralnim zapisima konvertiranim u refleksiju dodjeljuju se klase i makroklase koje ih definiraju. Takvim područjima definira se područje interesa (ROI), i to na dva načina: ručno i automatski. Konačan rezultat je klasificirani zemljišni pokrov sa odgovarajućim bojama za pojedinu vrstu pokrova.

Abstract (english)

In the area of the City of Daruvar and its surroundings, the land cover is analyzed and processed on the basis of satellite images of the Sentinel-2 satellite. Satellite images of the area were taken within the time period between June 1 and July 1, 2021. Data processing is carried out in a free geographic information system called QGIS. Spectral records converted in reflection are assigned classes and macroclasses that define them. Such areas define an area of interest (ROI) in two ways: manually and automatically. The end result is a classified land cover with appropriate colors for each type of cover.

• Keywords: QGIS; daljinska istraživanja; elektromagnetski spektar; nadzirana klasifikacija; Sentinel-2
• Keywords (english): QGIS; remote sensing; electromagnetic spectre; supervised classification; Sentinel-2.
• Language: croatian
• URN:NBN: urn:nbn:hr:169:420412
• Study programme: Title: Geological engineering; specializations in: Hydrogeology and engineering geology, Environmental geology; Course: Environmental geology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka geološkog inženjerstva (magistar/magistra inženjer/inženjerka geološkog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-10-04 10:25:42