Assessing mangrove leaf traits under different pest and disease severity with hyperspectral imaging spectroscopy

Assessing mangrove leaf traits under different pest and disease severity with hyperspectral imaging spectroscopy

Hyperspectral imaging data have been rarely focused on studies of mangrove pests and diseases. With leaf hyperspectral imaging data, this study aims to extract the sensitive spectral and textural features related to information of mangrove pest and disease using successive projection algorithm (SPA)...

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Bibliographic Details
Main Authors: Jia, S. (Author), Jiang, X. (Author), Miao, J. (Author), Wang, J. (Author), Zhao, D. (Author), Zhen, J. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
accuracy assessment
algorithm
Decision trees
disease severity
Disease severity
environmental impact
First derivative
HyperSpectral
Hyperspectral image
Hyperspectral imaging
Hyperspectral imaging datum
imaging method
leaf area
Leaf trait
Leaf traits
mangrove
Mangrove
Pest and disease severity
pest species
Random forest modeling
Random forest regression
Reflection
spectral analysis
spectroscopy
Spectroscopy
Successive projection algorithm
Successive projections algorithm
Textures
Vegetation
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