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most citedVegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds

1 citations · 4 across the 7 of their papers we have counts for

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cs.CV2026

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 use…