Detekcija opožarenog područja na lokaciji otoka Korčule korištenjem multispektralnih satelitskih snimaka

master's thesis

• Title: Detekcija opožarenog područja na lokaciji otoka Korčule korištenjem multispektralnih satelitskih snimaka : diplomski rad
• Title (english): Burn area detection on island of Korčula using multispectral satelite imagery : master's thesis
• Author: Niko Groznica
• 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: 2022-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Geological Engineering

Abstract

Analiza razlike NBR indeksa na području otoka Korčule u razdoblju od 12. srpnja 2015. god. do 7. srpnja 2019. god. na temelju Landsat 8 satelitskih snimaka. NBR se računao pomoću blisko infracrvenog i kratkovalnog infracrvenog spektra svjetlosti. Razlika NBR indeksa, dNBR, računala se kao razlika NBR indeksa prije i poslije požara. Dobivene vrijednosti dNBR kategorizirane su prema stupnju opožarenosti. Obrada i analiza podataka provedena je kroz QGIS i Python programski jezik.

Abstract (english)

Analysis of the difference NBR index on the island of Korčula in the period of 12 July 2015 until July 7, 2019. based on Landsat 9 satellite images. NBR was calculated using near-infrared and short-wave infrared spectrum of light. The difference NBR index, dNBR, was calculated as the difference in NBR index before and after the fire. The obtained dNBR values were categorized according to the severity level of the burn. Dana processing and analysis was performed using QGIS and Python programming language.

• Keywords: otok Korčula; Python; QGIS; NBR; dNBR; Landsat 8; daljinska istraživanja
• Keywords (english): island of Korčula; Python; QGIS; NBR; dNBR; Landsat 8; remote sensing Thesis contains:
• Language: croatian
• URN:NBN: urn:nbn:hr:169:934341
• Study programme: Title: Geological engineering; specializations in: Hydrogeology and engineering geology, Environmental geology; Course: Hydrogeology and engineering 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: 2022-10-03 15:52:54