most citedHyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 6 cited

Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans

Daniele Michelini, Michele Dalponte, Angelo Carriero +4

This work intends to lay the foundations for identifying the prevailing forest types and the delineation of forest units within private forest inventories in the Autonomous Provinc…