Procjena dugotrajnog učinka klimatskih utjecaja primjenom podataka daljinskih istraživanja

master's thesis

• Author: Ivana Metić
• Mentor: Mateo Gašparović (mentor); MBZ: 323846
• Committee member: Mateo Gašparović (predsjednik povjerenstva)
• Committee member: Đuro Barković (član povjerenstva)
• Committee member: Mladen Zrinjski (član povjerenstva)
• Granter: University of Zagreb; Faculty of Geodesy; (Institute for Cartography and Photogrammetry); (Chair of Photogrammetry and Remote Sensing); Zagreb
• Defense date and country: 2024-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Geodesy; Photogrammetry and Remote Sensing

Abstract

Predmet ovog istraživanja je dugotrajna procjena dinamike kvalitete vegetacije na području Spačvanskog bazena od 1984. do 2023. godine. Cilj je odrediti na koji način i u kojoj mjeri određeni klimatski čimbenici utječu na stanje vegetacije. Istraživanje je provedeno metodama daljinskih istraživanja, analizom satelitskih snimki misije LANDSAT i Sentinel. Područje interesa ovog istraživanja je Spačvanski bazen, koji zauzima površinu od 43.519 ha. Za prikupljane, obradu i analizu podataka korištena je platforma Google Earth Engine. Za prikaz podataka korišten su softveri otvorenog koda QGIS i Microsoft Excel. Mjerene su vrijednosti NDVI-a za razdoblje od 1984. do 2023. godine, iz čega je vidljivo kako usprkos naglašenim klimatskim parametrima, vrijednost indeksa raste. Ekstrahirani su podaci NDVI-a za šestogodišnje razdoblje od 2018. do 2023. iz čega su procijenjeni početak i kraj fenološkog ciklusa. Ti procijenjeni rezultati zatim su uspoređeni sa rezultatima dobivenima pomoću algoritma koji računa početak i kraj fenološkog ciklusa. Ustanovljeno je da fenološki ciklus u prosjeku oscilira mjesec dana, dok je prethodne, 2023. godine, oscilirao dva mjeseca. Provedena je i klasifikacija nadziranom metodom CART (Classification and Regression Tree), za svakih 5 godina od 1984. do 2023. godine. Uz to su provedene dvije podrobnije analize za period prije i nakon poplave 2014. godine, te prije i nakon oluje 2023. godine. Ukupno gledajući, povećanje temperature i smanjenje količina padalina utječu na fenološki ciklus, no učinak je vidljiv za kratak period vremena. Veću prijetnju stvaraju ekstremni vremenski uvjeti poput poplave i oluje, koji su također učinci klimatskih promjena.

Abstract (english)

The subject of this research is a long-term assessment of the dynamics of vegetation quality in the Spačvan basin from 1984 to 2023. The goal is to determine how and to what extent certain climatic factors affect the state of vegetation. The research was conducted using remote sensing methods, by analysing satellite images from the LANDSAT and Sentinel missions. The area of interest of this research is the Spačvan basin, which covers an area of 43,519 hectare. The Google Earth Engine platform was used for data collection, processing and analysis. The open source software QGIS and Microsoft Excel were used to display the data. NDVI values were measured for the period of time from 1984 to 2023, from which is evident that despite the highlighted climate parameters, the value of the index is increasing. NDVI data were extracted for the six-year period from 2018 to 2023, from which the beginning and end of the phenological cycle were estimated. These estimated results were then compared with the results obtained using an algorithm that calculates the beginning and end of the phenological cycle. It was established that the phenological cycle oscillates for one month on average, while in the previous year, 2023, has oscillated for two months. A classification using the supervised CART (Classification and Regression Tree) method was also carried out, for every 5 years from 1984 to 2023. In addition, two more detailed analyzes were carried out for the period before and after the flood in 2014, and before and after the storm in 2023. Overall, an increase in temperature and a decrease in precipitation affect the phenological cycle, but the effect is visible for a short period of time. A greater threat is created by extreme weather conditions such as floods and storms, which are also effects of climate change.

• Keywords: daljinska istraživanja; klimatske promjene; prostorno-vremenska analiza; Spačva; vegetacija.
• Keywords (english): climate change; remote sensing; Spačva; spatio-temporal analysis; vegetation
• Language: croatian
• URN:NBN: urn:nbn:hr:256:898533
• Study programme: Title: Geodesy and Geoinformatics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka geodezije i geoinformatike (magistar/magistra inženjer/inženjerka geodezije i geoinformatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-07-04 10:30:24