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Erni Danggi
Universitas Sulawesi Tenggara
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Transportation Other

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Sentinel-2 NDVI Analysis Using GEE and QGIS for Green Open Space Sustainability Assessment in Kendari City Sufrianto, Sufrianto; Yaacob Zubir, Siti Sara; Jassin, Andi Makkawaru Isazarni; Brata, Joko Tri; Danggi, Erni; Sallu, Sulfikar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5409

Abstract

Rapid urbanization has profoundly transformed land cover in many growing cities, leading to a substantial decline in Green Open Space (GOS) and a progressive deterioration of ecological functions. The continuous conversion of vegetated zones into impervious and built-up surfaces has reduced the city’s ability to absorb carbon, regulate local microclimates, and maintain overall ecological resilience. Consequently, assessing the sustainability and spatial distribution of GOS is crucial for ensuring environmentally balanced urban development and resilience to future land-use pressures. This study aims to evaluate the sustainability of urban green spaces in Kendari City through an integrated geospatial approach that combines remote sensing and open-source cloud computing technologies. Sentinel-2 Level-2A imagery was analyzed in Google Earth Engine (GEE) using the QA60 band for cloud masking and spatial clipping to accurately define the study boundaries. Normalized Difference Vegetation Index (NDVI) values were subsequently processed and classified in QGIS using a reclassification technique to distinguish vegetation density categories. The results indicate that 56.7% of the total land area, equivalent to 15,213 hectares, exhibits high greenness, reflecting dense and healthy vegetation, whereas 32.3% consists of low or non-vegetated surfaces dominated by built-up and barren lands. These findings reveal substantial spatial disparities in vegetation coverage and underscore the importance of sustainable land management and green infrastructure policies. Furthermore, this research contributes to the advancement of geospatial informatics by developing an open, reproducible workflow that integrates cloud-based computation and open-source GIS for urban ecological monitoring and sustainability assessment.
Co-Authors AA Sudharmawan, AA Andi Bahrun Brata, Joko Tri BT. Tolo, Suriani Fatmawati L, St. Hajar Hajar Hijriani Hijriani, Hijriani Jassin, Andi Makkawaru Isazarni Jawiah, St. Kasmawati Kasmawati Khayati, Sri La Ode Abdul Manan La Ode Bariun La Ode Munawir, La Ode Makkawaru, Andi Muhammad Fitriadi Sasmita, Farra Sitti Hawa St. Fatmawati.L Subhan Sufrianto, Sufrianto Sulfikar Sallu Suriani BT Tolo Suriani BT Tolo Tamrin Tamrin Tolo, Suriani BT Wa Ode Dien Indalestari Wahidin Wahidin Wira Yudha Yaacob Zubir, Siti Sara