Mapping Urban Green Spaces in Indonesian Cities Using Remote Sensing Analysis DOI Creative Commons
Agustiyara Agustiyara, Dyah Mutiarin,

Achmad Nurmandi

et al.

Urban Science, Journal Year: 2025, Volume and Issue: 9(2), P. 23 - 23

Published: Jan. 22, 2025

This study explores the dynamics of urban green spaces in five major Indonesian cities—Central Jakarta, Bandung, Yogyakarta, Surabaya, and Semarang—using Sentinel-2 satellite imagery vegetation indices, such as NDVI EVI. As areas expand become more densely populated, development activities have significantly altered spaces, necessitating comprehensive mapping through remote sensing technologies. The findings reveal significant variability space coverage among cities over three periods (2019–2020, 2021–2022, 2023–2024), ensuring that are up to date. demonstrates utility for detailed analysis, emphasizing its effectiveness identifying, quantifying, monitoring changes spaces. Integrating advanced techniques, EVI, offers a nuanced understanding their implications sustainable planning. Utilizing data within Google Earth Engine (GEE) framework represents contemporary innovative approach studies, particularly rapidly urbanizing environments. novelty this research lies method preserving enhancing infrastructure while supporting effective strategies growth.

Language: Английский

Mapping Urban Green Spaces in Indonesian Cities Using Remote Sensing Analysis DOI Creative Commons
Agustiyara Agustiyara, Dyah Mutiarin,

Achmad Nurmandi

et al.

Urban Science, Journal Year: 2025, Volume and Issue: 9(2), P. 23 - 23

Published: Jan. 22, 2025

This study explores the dynamics of urban green spaces in five major Indonesian cities—Central Jakarta, Bandung, Yogyakarta, Surabaya, and Semarang—using Sentinel-2 satellite imagery vegetation indices, such as NDVI EVI. As areas expand become more densely populated, development activities have significantly altered spaces, necessitating comprehensive mapping through remote sensing technologies. The findings reveal significant variability space coverage among cities over three periods (2019–2020, 2021–2022, 2023–2024), ensuring that are up to date. demonstrates utility for detailed analysis, emphasizing its effectiveness identifying, quantifying, monitoring changes spaces. Integrating advanced techniques, EVI, offers a nuanced understanding their implications sustainable planning. Utilizing data within Google Earth Engine (GEE) framework represents contemporary innovative approach studies, particularly rapidly urbanizing environments. novelty this research lies method preserving enhancing infrastructure while supporting effective strategies growth.

Language: Английский

Citations

1