06-03, 14:00–14:30 (Europe/Stockholm), Statisten
This study explores the use of QGIS to measure the Normalized Difference Vegetation Index (NDVI) and extract only selected vegetation cover in the city of Tirana for the years 2016 and 2025. Sentinel-2 satellite images were processed in QGIS to calculate NDVI values, and a specific threshold was applied to extract areas representing healthy vegetation. The approach enables accurate quantification of changes in green cover within the urban landscape, demonstrating the potential of open-source GIS tools for detailed environmental monitoring and urban planning.
I am a geospatial data enthusiast with a strong background in Geoinformatics Engineering and Computer Science. My expertise lies in combining advanced spatial data analysis with innovative technologies to solve real-world problems. I have practical experience working on various GIS-based projects, specializing in spatial data management, analysis, and visualization.
As a researcher, I focus on the application of GIS systems in urban planning and other geospatial disciplines, continuously striving to contribute to the field through both academic and professional endeavors.