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Title: NDVI-BASED SPATIOTEMPORAL ANALYSIS OF THE GREEN SPACE IN TBILISI, GEORGIA

Year

2025

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447

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Title

NDVI-BASED SPATIOTEMPORAL ANALYSIS OF THE GREEN SPACE IN TBILISI, GEORGIA

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Authors

Mariam Tsitsagi; Zaza Gulashvili; Nino Kharebava

DOI

10.5593/sgem2025/3.1/s13.48

DOI Issue

10.5593/sgem2025/3.1

ISSN

1314-2704

ISBN

978-619-7603-81-1

Language

English

Volume

Issue

3.1

Editor

• Prof. Dr. hab. oec. Baiba Rivza, LATVIA• Prof. DSc. Ildiko Tulbure, GERMANY• Prof. DSc. Oleksandr Trofymchuk, UKRAINE

Scientific Area

Forest Ecosystems and Sustainable Forestry

Abstract/ Foreword

Green space is an integral part of human life. Many aspects of the population's activity and well-being are associated with this process. Green space is equally important for both rural and urban settlements. Tbilisi, Georgia, is a city where the loss of green space has recently intensified due to excessive urban sprawl. However, this growth is not well planned in most cases. Accordingly, analysis of green space dynamics is crucial for strategic planning in Tbilisi. However, there is a lack of similar data for Tbilisi. The aim of this paper is to account for the spatiotemporal evolution of green spaces in Tbilisi, determine the distribution of coniferous and deciduous trees and evaluate the anthropogenic and environmental factors affecting changes in urban green space. The analysis of the spatial and temporal patterns and changes in green space in Tbilisi was performed by using Google Earth Engine (GEE), Landsat 8 OLI and Sentinel-2 Earth Observation image data. First, we categorized each study area into two broad classes, vegetation and nonvegetation. Second, we calculated the green space ratio (RGS) in 2012–2020. Third, we performed linear regression based on normalized difference vegetation index (NDVI) time series to identify areas with significant changes in green space. We further categorized the green scape into two classes: coniferous and other. Landsat 8 OLI 2013–2020 median composite imagery and Sentinel 2 2019–2020 median composite imagery were used in this research to observe the intraannual changes in the NDVI. By utilizing the Landsat 8 OLI-based RGS, we observed that since 2013, there has been a rapid decrease (from 0.92 to 0.9) in green space in Tbilisi, which is related to anthropogenic (deforestation related to rapid urban sprawl) and environmental (natural hazards, tree disease) factors. Using Sentinel-2-based NDVI data, it was found that as of 2020, more than 20% of the tree cover in the territory of Tbilisi was coniferous. The obtained data will be useful in the future for multiple stakeholders, especially in terms of biodiversity research and conservation and improvement of Tbilisi

References (click to open)

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Acknowledgements (click to open)

This research [FR-21-13962] was supported by the Shota Rustaveli National Science Foundation of Georgia (SRNSFG).

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conference

Url

https://doi.org/10.5593/sgem2025/3.1/s13.48

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NDVI-BASED SPATIOTEMPORAL ANALYSIS OF THE GREEN SPACE IN TBILISI, GEORGIA

Proceedings Тitle

Proceedings of 25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1

Note

25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1, 29 June - 6 July, 2025

Type

Proceedings Paper

Publisher

STEF92 Technology

Series

International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Organization

SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.

Pages

421-434

Date

29 June - 6 July, 2025

Online Source Type

website

Digital Source Type

10396

Keywords

NDVI, green space, Landsat, Sentinel, Tbilisi