National Scale Above-Ground Biomass in Nepal's Forests at 10m Resolution (Circa 2020)

AGB mapping in Nepal's forests circa 2020 at 10m resolution using Sentinel-1, Sentinel-2, and field data in the Google Earth Engine. The CART model achieved 92% accuracy (R² = 0.92), with RMSE of 30.42 Mg ha⁻¹ and MAE of 18.84 Mg ha⁻¹. 2,834 field-measured AGB samples were used to train and validate the machine learning model. Nepal's total tree cover AGB is estimated at 132 Pg, with a mean value of 150.32 Mg ha⁻¹ and maximum of 452.05 Mg ha⁻¹. High uncertainty in mountainous areas; low uncertainty in dense forests, aiding conservation strategies. The study supports REDD+ initiatives and sustainable forest management with open-access AGB data.