Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network

Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network

Every vegetation colony has its own vertical structure. Forest vertical structure is considered as an important indicator of a forest’s diversity and vitality. The vertical structure of a forest has typically been investigated by field survey, which is the traditional method of forest inventory. How...

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Bibliographic Details
Main Authors: Soo-Kyung Kwon, Hyung-Sup Jung, Won-Kyung Baek, Daeseong Kim
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Applied Sciences
Subjects:
forestry vertical structure
stratification
forest inventory
aerial orthophoto
lidar (light detection and ranging)
ANN (Artificial Neural Network)
machine learning
Online Access:https://www.mdpi.com/2076-3417/7/10/1046

Internet

https://www.mdpi.com/2076-3417/7/10/1046

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