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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
‘Marin Drăcea’ National Research-Development Institute in Forestry
2016-12-01
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Series: | Annals of Forest Research |
Online Access: | https://www.afrjournal.org/index.php/afr/article/view/423 |