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This study explores the integration of ICESat-2 lidar data and Sentinel-2 imagery to assess hurricane-driven changes in coastal forests, focusing on canopy height and land cover transitions. Using Random Forest and Extreme Gradient Boosted regression models, the research demonstrates that ICESat-2 data can effectively map post-hurricane canopy losses and inform recovery strategies. The findings highlight the importance of scalable, high-resolution methods for monitoring forest structural changes following e

Author

Avi Hamal

Language

EN