Detekcija opožarenog područja Splitsko-dalmatinske županije 2017. godine korištenjem Sentinel-2 multispektralnih satelitskih snimaka

master's thesis

• Title: Detekcija 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
• Author: Marin Petrović
• 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: 2022-02-11, 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: QGIS; daljinska istraživanja; Sentinel-2; NBR; SCP
• Keywords (english): QGIS; remote sensing; Sentinel-2; NBR; SCP
• Language: croatian
• URN:NBN: urn:nbn:hr:169:466430
• 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: 2022-02-18 10:08:30