Evaluating Urban Green Spaces Using UAV-Based Green Leaf Index

Abstract

This study evaluates the urban green spaces at Harran University's Osmanbey Campus using UAV technology and the Green Leaf Index (GLI). By employing Structure-from-Motion (SfM) photogrammetry, a highly detailed orthophoto of the campus was generated, while the GLI helped to identify and measure the green areas accurately. The analysis revealed that the Total Green Space Area on the campus is 8.8 hectares, within a Total Urban Area of 46.4 hectares. This results in a Green Space Ratio (GSR) of 18.97%. This percentage indicates that nearly 19% of the campus' urban area is covered by green spaces, which represents a moderate yet meaningful level of vegetation that enhances the environmental quality and overall well-being of the campus community. The findings underscore the value of incorporating UAV-based metrics into urban green space assessments and suggest that increasing the GSR to around or above 20% could provide even greater ecological and social benefits.

Keywords

• UAV
• Photogrammetry
• Green Space Ratio
• GLI

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