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Estimating canopy height and aboveground biomass in tropical mangrove restoration areas through multisource remote sensing
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DOI：10.1016/j.ecoinf.2025.103522.png)
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Abstract
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• Canopy height and biomass models with satellite predictors and UAV-LiDAR estimators. • UAV-LiDAR reveals forest structure variety in mangrove restoration area. • Forest structure complexity increases over two decades of mangrove restoration. • Forest structure complexity impacts signal saturation and model estimation accuracy. • Model suitability for monitoring mangrove restoration programs.
Keywords:
Forest structure
UAV-LiDAR
Sentinel-1
Sentinel-2
SAOCOM-1
machine learning
Indonesia
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