Estimating Urban Green Open Space Requirements Using Landsat 8 NDVI and Oxygen-Demand Assessment in Pekanbaru, Indonesia
DOI:
https://doi.org/10.67922/ddkwpd04Keywords:
urban vegetation mapping, landsat 8, NDVI classification, oxygen-demand assessment, green infrastructure, spatial planningAbstract
Urban green open spaces provide important ecological functions in densely populated cities. However, conventional assessments of green space availability may not adequately reflect vegetation distribution and estimated oxygen demand. This study assessed existing green open space and estimated oxygen-related green space requirements in Marpoyan Damai District, Pekanbaru, Indonesia, using satellite-derived vegetation density and population and motor vehicle data. The study employed a quantitative approach based on Landsat 8 imagery acquired in 2020, the Normalized Difference Vegetation Index (NDVI), field observations, population statistics, and household questionnaire data. Vegetation density was classified into four reported greenness categories, and areas with medium and high vegetation density were used to estimate existing green open space. The source calculations identified 434.77 ha of existing green open space, while the reported oxygen-demand estimate was 200,362.89 kg per hour. The thesis further reported a green space requirement of 834.85 ha and an additional requirement of 400.07 ha. However, inconsistencies in the oxygen-production coefficient, time units, and mapped area require recalculation before these estimates can be considered validated findings. The study provides a basis for integrating satellite-based vegetation mapping with oxygen-demand assessment in urban green space planning. Future work should harmonize the calculation units, verify spatial boundaries, and validate vegetation classifications using independent reference data.
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