Clément Mallet

FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data

Emilie Vautier, Clément Mallet, Cédric Vega

Forest attributes are essential for national-scale resource monitoring. Airborne LiDAR metrics are among the auxiliary variables most strongly correlated with forest attributes used in National Forest Inventory (NFI) estimates. However, producing wall-to-wall predictions remains…Read more