Predicting forest biodiversity from spaceborne GEDI LiDAR and machine learning: structural drivers and regional transferability across Pacific Northwest forests
Abstract Remote sensing offers important opportunities for large-scale biodiversity monitoring, yet the capacity of spaceborne laser scanning to predict forest biodiversity remains insufficiently understood. This study evaluates relationships between forest structural complexity and tree species diversity using data fr...