An improved assessment of forest disturbance using a novel approach of combining a Gaussian mixture model with an EM algorithm

An improved assessment of forest disturbance using a novel approach of combining a Gaussian mixture model with an EM algorithm

Forests have experienced unprecedented decline and mortality beyond their historical range in past decades, which is attributed to disturbances like drought, fire, insects and disease. Traditional disturbance detection methods that typically employ a time series perspective to identify discrete dist...

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Bibliographic Details
Main Authors: Zhou Wang, Wenjin Wang, Jian-Guo Huang, Rui Li, Hanxue Liang, Jiawei Duan, Jiahao Cao, Feiyu Yang, Yaling Zhang, Claudia Hartl, Jacques C. Tardif, Qi-Bin Zhang
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Ecological Indicators
Subjects:
Forest dynamics
Disturbance
Tree-ring index
Forest decline
Growth release
Gaussian mixture model
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24010215

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X24010215

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