Automatizacija klasifikacije poplavljenog područja Gunje pomoću Python programskog jezika

master's thesis

• Title: Automatizacija klasifikacije poplavljenog područja Gunje pomoću Python programskog jezika : diplomski rad
• Title (english): Automatization of flood classification at Gunja area using Pyhton programming language : master's thesis
• Author: Josip Mikšić
• 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

Analiza i klasifikacija vodene površine na području Gunje, prije i poslije poplave u svibnju 2014. godine, vršena je na temelju snimaka Landsat 8 satelita. Pomoću zelenog i blisko infracrvenog spektra svjetlosti računa se NDWI indeks, a na temelju plavog i blisko infracrvenog spektra svjetlosti MNDWI. Modificirani INDEX dobiva se kao zbroj NDWI i MNDWI. Vodena površina na temelju dobivenih vrijednosti određena je pozitivnim vrijednostima. Prilikom binarne klasifikacije vodena površina zaprima vrijednost 1, dok površina koja nije pod vodom zaprima vrijednost 0. Obrada i analiza podataka provedena je kroz programski jezik Python i geografski informacijski sustav (QGIS).

Abstract (english)

The analysis and classification of the water surface at the Gunja area, before and after the flood in May 2014., was performed on the basis of images from Landsat 8 satellite. NDWI index is calculated using the green and near-infrared spectre of light, MNDWI index is based on the blue and near-infrared spectre of light. The modified INDEX is obtained as the sum of NDWI and MNDWI indexes. The water surface is determined as positive values, on the basis of the obtained values. During binary classification, water receives a value of 1, while non-water surface obtains a value of 0. Dana processing and analysis was performed through the Python programming language and the geographic iformation system (QGIS).

• Keywords: Gunja; Python; QGIS; daljinska istraživanja; satelitske snimke; Landsat 8; NDWI; MNDWI; modificirani INDEX; raster
• Keywords (english): Gunja; Python; QGIS; remote sensing; satellite images; Landsat 8; NDWI; MNDWI; modified INDEX; raster
• Language: croatian
• URN:NBN: urn:nbn:hr:169:043690
• 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: 2022-04-19 07:26:40