Remote Sensing of Urban Forest Estimation via Space Technology: Biomass and Carbon Storage
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Abstract
Climate change, largely driven by rising atmospheric carbon dioxide, presents urgent
global challenges. This study estimated aboveground biomass (AGB) and carbon stock of urban
trees using space technology Sentinel-2 satellite imagery from combined with field surveys.
Thirty 20 × 20 m plots were established for data collection, and vegetation indices with fractional
cover were derived from satellite data. Allometric equations were applied to estimate AGB and
carbon stock, while exponential regression examined the relationship between biomass and
vegetation indices. Results showed GNDVI as the most effective index. Field surveys indicated
4,650.75 tons of AGB and 2,185.85 tons of carbon, whereas satellite-based estimates yielded
2,798.23 tons and 1,315.17 tons, respectively. These findings demonstrate the benefits of integrating
space technology with field measurements for reliable assessment of urban biomass and
carbon storage. The approach provides useful insights for urban green space planning, natural
resource management, and strategies to mitigate climate change.
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