engleski

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

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.

machine learning, remote sensing, vegetation index, QGIS

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