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Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands

Li, Niwen and Huo, Langning and Zhang, Xiaoli (2022). Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands. Ecological Indicators. 142 , 109198
[Research article]

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Abstract

Pine wilt disease (PWD) is a very destructive forest disease that causes the mortality of pine. The infected trees usually die within three months, and the disease spreads fast with the long-horned beetle as the medium if the infected trees are not removed from the forest in time. Therefore, detecting the infected trees at different infection stage, especially the early infection, is crucial for preventing PWD spread. This study aims to exhibit the spectral differences of the pine needles between healthy pines and infected pines at different infection stages and reveal the diagnostic spectral bands for classifying the different infected stage trees. We collected needle samples from healthy, early-, middle-, late-stage infected trees in a Japanese pine (Pinus densiflora) forest and a Korean pine (Pinus koraiensis) forest in northern China to explore the spectral and biochemical properties differences of these four classes, and selected the sensitive bands combining competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA). The selected bands were used for the four infection stages classification by linear discriminant analysis (LDA) algorithm. The results show that Chlorophyll a, chlorophyll b, carotenoids, and moisture content decreases with the aggravation of infection. The green (510–530 nm), red-edge (680–760 nm), and short-wave infrared (1400–1420 nm and 1925–1965 nm) bands are the sensitive bands, and the overall accuracy is 77 % and 78 % for the Japanese pine and Korean pine respectively when using these bands for classifying healthy, early-, middle-, late-stage infected trees. The results demonstrate that physiological parameters including Chlorophyll a, chlorophyll b, carotenoids, and moisture content can be used as the diagnostic parameters of PWD, and the selected sensitive spectral bands are feasible for detecting the stress symptoms of the Japanese pine and Korean pine.

Authors/Creators:Li, Niwen and Huo, Langning and Zhang, Xiaoli
Title:Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands
Series Name/Journal:Ecological Indicators
Year of publishing :2022
Volume:142
Article number:109198
Number of Pages:10
ISSN:1470-160X
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Hyper spectral, Pine wilt disease, Infection stages, Diagnostic spectral bands screening, Forest health monitoring
URN:NBN:urn:nbn:se:slu:epsilon-p-118881
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118881
Additional ID:
Type of IDID
DOI10.1016/j.ecolind.2022.109198
ID Code:28805
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:09 Sep 2022 05:34
Metadata Last Modified:09 Sep 2022 05:41

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