Naslov
Analysis of vegetation cover in the area of Varaždin County using machine learning methods

Autori
Remetović, Magdalena ; Kranjčić, Nikola

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
2. međunarodna studentska GREEN konferencija / Habuda-Stanić, Mirna - Osijek : Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2022, 148-148

ISBN
978-953-7005-91-7

Skup
2. međunarodna studentska GREEN konferencija = 2nd International Students’ GREEN Conference (ISC GREEN 2022)

Mjesto i datum
Osijek, Hrvatska, 02.06.2022. - 03.06.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
machine learning, remote sensing, vegetation index, QGIS

Sažetak
The aim of this research is to analyze the vegetation cover of Varaždin County using machine learning methods. The most commonly used machine learning methods in the analysis of vegetation cover through pattern recognition and in-depth data analysis have been singled out. The paper provides an overview of the significant and most important satellite missions for imaging the Earth's surface that have enabled the collection and use of high and very high-resolution satellite imagery in combination with machine learning algorithms. Images of the Sentinel-2 area of Varaždin County were used in this paper. They were analyzed in 5 different time periods, and for the processing of satellite images, classification and subsequent analyzes were used in the open source programs SAGA-GIS and QGIS. Finally, the analysis of vegetation cover was performed using the vegetation index NDVI, after which the results were presented and conclusions were made on changes in vegetation cover in the observed area.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija, Interdisciplinarne tehničke znanosti

POVEZANOST RADA