Using classification trees to predict forest structure types from LiDAR data

Using classification trees to predict forest structure types from LiDAR data

<p class="Text" align="left">This study assesses whether metrics extracted from airborne LiDAR (Light Detection and Ranging) raw point cloud can be exploited to predict different forest structure types by means of classification trees. Preliminarily, a bivariate analysis by...

Full description

Bibliographic Details
Main Authors: Chiara Torresan, Piermaria Corona, Gianfranco Scrinzi, Joan Valls Marsal
Format: Article
Language:English
Published: ‘Marin Drăcea’ National Research-Development Institute in Forestry 2016-12-01
Series:Annals of Forest Research
Online Access:https://www.afrjournal.org/index.php/afr/article/view/423

Similar Items

Similar Items