Enhancing Tree Species Identification in Forestry and Urban Forests through Light Detection and Ranging Point Cloud Structural Features and Machine Learning

Enhancing Tree Species Identification in Forestry and Urban Forests through Light Detection and Ranging Point Cloud Structural Features and Machine Learning

As remote sensing transforms forest and urban tree management, automating tree species classification is now a major challenge to harness these advances for forestry and urban management. This study investigated the use of structural bark features from terrestrial laser scanner point cloud data for...

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Bibliographic Details
Main Authors: Steffen Rust, Bernhard Stoinski
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Forests
Subjects:
urban forest inventory
tree species classification
bark features
machine learning
point cloud data
LiDAR scanning
Online Access:https://www.mdpi.com/1999-4907/15/1/188

Internet

https://www.mdpi.com/1999-4907/15/1/188

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