Izračun površinskih temperatura koristeći satelitske snimke na području gradova Rijeke i Splita pomoću Python programskog jezika i QGIS programa

master's thesis

• Title: Izračun površinskih temperatura koristeći satelitske snimke na području gradova Rijeke i Splita pomoću Python programskog jezika i QGIS programa : diplomski rad
• Title (english): Calculation of surface temperatures using satellite images in the area of the cities of Rijeka and Split using Python programming language and QGIS program : master's thesis
• Author: Antonio Erhatić
• 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

Na području gradova Rijeke i Splita analiziraju se temperature površine zemlje na temelju Landsat 8 satelitskih snimaka. Prikupljene su po tri satelitske snimke u najtoplijim mjeseca u godini za svaki grad kroz razdoblje od tri uzastopne godine. Za Rijeku su prikupljeni snimci između srpnja 2019. i srpnja 2021. godine, a za Split su prikupljeni snimci između srpnja 2018. i kolovoza 2020. godine. Pomoću dugog infracrvenog kanala satelitskih snimaka računaju se temperaturni ekstremi na istraživanom području. Obrada i analiza podataka provedena je u Python programskom jeziku i geografskom informacijskom sustavu (QGIS-u).

Abstract (english)

In the area of the cities of Rijeka and Split, the surface temperatures of the earth are analyzed on the basis of Landsat 8 sattelite images. Three satelitte images were collected in the warmest months of the year for each city over a period of three consecutive years. For Rijeka, recordings were colected between July 2019 and July 2021, and for Split, recordings were collected between July 2018 and August 2020. Temperatures extremes in the study area are calculated using long infrared channel of satellite images. Data processing and analysis was preformed in Python programming language and geographic information system (QGIS).

• Keywords: Rijeka; Split; temperaturni ekstremi; daljinska istraživanja; Landsat 8; Python; QGIS; satelitske snimke
• Keywords (english): Split; Rijeka; temperature extremes; remote sensing; Landsat 8; Python; QGIS; satellite images
• Language: croatian
• URN:NBN: urn:nbn:hr:169:707732
• 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 15:11:05