Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low-Density Airborne Laser Scanning

Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low-Density Airborne Laser Scanning

Three raster-based (RB) and one point cloud-based (PCB) algorithms were tested to segment individual Aleppo pine trees and extract their tree height (H) and crown diameter (CD) using two types of point clouds generated from two different techniques: (1) Low-Density (≈1.5 points/m<sup>2</sup...

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Bibliographic Details
Main Authors: Abderrahim Nemmaoui, Fernando J. Aguilar, Manuel A. Aguilar
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
point clouds
forest inventory
individual tree detection
tree height
crown diameter
low-density ALS
Online Access:https://www.mdpi.com/2072-4292/16/21/3974
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