Evaluation of Different Algorithms for Estimating the Growing Stock Volume of <i>Pinus massoniana</i> Plantations Using Spectral and Spatial Information from a SPOT6 Image

Evaluation of Different Algorithms for Estimating the Growing Stock Volume of <i>Pinus massoniana</i> Plantations Using Spectral and Spatial Information from a SPOT6 Image

Precise growing stock volume (GSV) estimation is essential for monitoring forest carbon dynamics, determining forest productivity, assessing ecosystem forest services, and evaluating forest quality. We evaluated four machine learning methods: classification and regression trees (CART), support vecto...

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Bibliographic Details
Main Authors: Jingjing Zhou, Zhixiang Zhou, Qingxia Zhao, Zemin Han, Pengcheng Wang, Jie Xu, Yuanyong Dian
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Forests
Subjects:
machine learning algorithms
forest growing stock volume
SPOT6 imagery
<i>Pinus massoniana</i> plantations
Online Access:https://www.mdpi.com/1999-4907/11/5/540

Internet

https://www.mdpi.com/1999-4907/11/5/540

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