Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans

Daniele Michelini, Michele Dalponte, Angelo Carriero, Erico Kutchartt, Salvatore Eugenio Pappalardo, Massimo De Marchi, Francesco Pirotti. Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans. In Enrico Borgogno Mondino, Paola Zamperlin, editors, Geomatics for Green and Digital Transition - 25th Italian Conference, ASITA 2022, Genova, Italy, June 20-24, 2022, Proceedings. Volume 1651 of Communications in Computer and Information Science, pages 235-250, Springer, 2022. [doi]