Africa Biomass dataset

Train and validate machine learning models for AGB estimation using satellite data (Sentinel-2, GEDI, etc.) - Improve national carbon stock inventories for REDD+ reporting - Develop country-specific allometric equations for West African forests - Support sustainable forest management and conservation planning - Benchmark against coarse global biomass products (e.g., ESA Biomass, GEDI) Notes / challenges: Small sample size (263 plots) — may not capture full spatial heterogeneity of Ivorian forests - No spatial coverage map or plot-level metadata (e.g., forest type, disturbance history) provided