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master's thesis
Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka
diplomski rad
Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2022. urn:nbn:hr:169:466430
Petrović, Marin
University of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
Department of Geophysical Exploration and Mine Surveying

Institutional repository: Faculty of Mining, Geology and Petroleum Engineering Repository, University of Zagreb

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Petrović, M. (2022). Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad (Master's thesis). Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:169:466430

Petrović, Marin. "Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2022. https://urn.nsk.hr/urn:nbn:hr:169:466430

Petrović, Marin. "Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2022. https://urn.nsk.hr/urn:nbn:hr:169:466430

Petrović, M. (2022). 'Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad', Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, accessed 29 April 2024, https://urn.nsk.hr/urn:nbn:hr:169:466430

Petrović M. Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering; 2022 [cited 2024 April 29] Available at: https://urn.nsk.hr/urn:nbn:hr:169:466430

M. Petrović, "Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad", Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:169:466430

Metadata
TitleDetekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka : diplomski rad
Title (english)Detection of the burned area of Split-Dalmatia county in 2017 using Sentinel-2 multispectral satellite images : master's thesis
AuthorMarin Petrović
MentorIvan Medved (mentor)
Committee memberIvan Medved (predsjednik povjerenstva)
Committee memberJasna Orešković (član povjerenstva)
Committee memberTomislav Korman (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
(Department of Geophysical Exploration and Mine Surveying)
Zagreb
Defense date and country2022-02-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mining, Petroleum and Geology Engineering
Geological Engineering
Abstract
Tema ovog diplomskog rada bila je izrada karte intenziteta sagorijevanja za područje u zaleđu grada Splita koje je bilo zahvaćeno velikim požarom 2017. godine. Za izradu su korišteni satelitski snimci misije Sentinel- 2 preuzeti s Copernicus Open Access Huba pri čemu je bilo potrebno odabrati jedan snimak prije požara te drugi snimak nakon požara. Programski jezik korišten za obradu navedenih satelitskih snimaka je QGIS u kojem je bilo potrebno instalirati SCP dodatak punog naziva Semi-Automatic Classification plugin pomoću kojeg je uklonjen atmosferski utjecaj. Dobivena karta opožarenog područja prikazuje normalizirani intenzitet sagorijevanja skraćeno NBR.
Abstract (english)
The topic of this master's thesis was the creation of burn severity map for the area in the hinterland of the city of Split, which was affected by a large fire in 2017. Satellite images of the Sentinel-2 mission taken from Copernicus Open Access Hub were used for the work, where it was necessary to select one image before the fire and another image after the fire. The programming language used to process these satellite images is QGIS in which the SCP plugin had to be installed. It's full name is Semi-Automatic Classification plugin which removed the atmospheric influence. The obtained map of the burned area shows the normalized burn ratio (dNBR).
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:169:466430
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-18 10:08:30