Integrating Satellite and UAV Imagery for Mangrove Aboveground Biomass and Carbon Stock Modeling

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Integration of UAV and satellite data improves biomass estimation in mangroves, suggesting enhanced carbon stock assessments.

The integrated model estimates mangrove AGB and AGC stocks, achieving an R² of 0.73, showcasing improved accuracy.
Aboveground biomass ranged from 0 to 179.78 tons•ha¹, while carbon stocks varied from 0 to 89.89 tons•ha¹ during analysis.
Estimation was facilitated by using multiple vegetation indices derived from Sentinel-2 and UAV imagery for better precision.
Highlights the significance of remote sensing in ecosystem modeling, with further potential for broader applications in carbon assessment.

Pungpa et al. (2025) studied this question.

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