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Interpolation of GEDI Biomass Estimates with Calibrated Uncertainty Quantification
Wall-to-wall biomass density estimation from NASA's GEDI mission requires interpolating sparse LIDAR observations across heterogeneous landscapes. While Random Forest and XGBoost are widely used, they predict each location independently from satellite features, without adapting to the varying diffic
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