A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery

A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery

Pine Wilt Disease is one of the most destructive pests affecting coniferous forests. After being infected by the harmful <i>Bursaphelenchus</i><i> </i><i>xylophilus</i> nematode, most trees die within one year. The complex spreading pattern of the disease and the...

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Bibliographic Details
Main Authors: Marian-Daniel Iordache, Vasco Mantas, Elsa Baltazar, Klaas Pauly, Nicolas Lewyckyj
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
Pine Wilt Disease
remote sensing
machine learning
classification
multispectral
hyperspectral
Online Access:https://www.mdpi.com/2072-4292/12/14/2280

Internet

https://www.mdpi.com/2072-4292/12/14/2280

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