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[松材线虫侵染后不同时期松针反射光谱的变化]

[Changes of reflectance spectra of pine needles in different stage after being infected by pine wood nematode].

作者信息

Xu Hua-chao, Luo You-qing, Zhang Ting-ting, Shi Yong-jun

机构信息

The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2011 May;31(5):1352-6.

PMID:21800599
Abstract

In the present study, seedlings of Pinus Thunbergii and Pinus Massoniana were planted and used for reflectance spectrum measurement. In different stage after being infected by pine wood nematode, reflectance spectra were measured by ASD spectrometer and the features of spectral parameters and the change of chlorophyll were analyzed. The results showed that (1) Disease could be estimated in the early stage according to the curve of mid-infrared reflectance; (2) Dynamic parameters such as the position of red edge, green peak height, reflectance of red band, slope of red edge and reflectance of water-stressed wave band were consistent with the disease features of two pine species after being infected by pine wood nematode; (3) To both of two pine species, content of chlorophyll tended to reduce with the development of disease and obvious linear relationship was observed between chlorophyll content and spectral parameters. There results might be able to provide some theoretical basis for the application of remote sensing technology in monitoring of pine wood disease. In addition, it might be also used as theoretical support for the controlling measures in different stage after being infected by pine wood nematode.

摘要

在本研究中,种植了黑松和马尾松幼苗并用于反射光谱测量。在被松材线虫感染后的不同阶段,使用ASD光谱仪测量反射光谱,并分析光谱参数特征和叶绿素的变化。结果表明:(1)可根据中红外反射曲线在早期阶段对病害进行估计;(2)红边位置、绿峰高度、红波段反射率、红边斜率和水分胁迫波段反射率等动态参数与两种松树被松材线虫感染后的病害特征一致;(3)对于两种松树,叶绿素含量均随病害发展而趋于降低,且叶绿素含量与光谱参数之间存在明显的线性关系。这些结果可能为遥感技术在松材病害监测中的应用提供一些理论依据。此外,它也可为松材线虫感染后不同阶段的防治措施提供理论支持。

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引用本文的文献

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Early feature study of Yunnan pine pinewood nematode disease based on hyperspectral remote sensing of ground objects.基于地物高光谱遥感的云南松松材线虫病早期特征研究
Sci Rep. 2025 Jul 21;15(1):26490. doi: 10.1038/s41598-025-10696-6.
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Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques.基于高光谱技术的松材线虫病早期监测研究进展。
Sensors (Basel). 2020 Jul 3;20(13):3729. doi: 10.3390/s20133729.
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Canopy Vegetation Indices from Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress.
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