马跃　吕全　赵相涛　何邦令　刘会香　张星耀

摘 要：利用光谱学进行植物病害的早期诊断是近年来植物病害监测预警研究的一个热点。本试验采用人工接种不同浓度松材线虫的方法，研究了野外健康黑松不同发病阶段黑松松针的反射光谱特征曲线，分析了多个光谱特征参数。结果表明：绿光波段（500～560 nm）和近红外波段（750～900 nm）反射光谱曲线对松树发病程度有一定的指示作用；红边（680～780 nm）位置蓝移、绿峰（510～580 nm）反射高度及红谷（640～700 nm）吸收深度降低、红边斜率减小等光谱特征参数的变化能够很好地反映松树的感病情况。本研究结果可为利用高光谱遥感技术进行松材线虫病监测与预警提供理论依据。

关键词：：松材线虫；黑松；光谱分析；光谱特征参数

中图分类号：S712 文献标识号：A 文章编号：1001-4942（2012）11-0012-05

Analysis of Spectral Characteristics of Pinus thunbergii

Inoculated with Pine Wood Nematode

Ma Yue1， Lü Quan2， Zhao XiangTao1， He BangLing1， Liu HuiXiang1*， Zhang XingYao2

（1.College of Plant Protection， Shandong Agricultural University/Shandong Forestry Harmful Biological Control Engineering

Technology Research Center， Taian 271018， China； 2. Key Laboratory of Forest Protection of China State Forestry Administration/

Research Institute of Forest Ecology，Environment and Protection，Chinese Academy of Forestry，Beijing 100091， China）

Abstract Using spectroscopy to diagnose plant diseases is a research focus in plant disease monitoring and early warning in recent years. In this paper， the spectral characteristic curve of Pinus thunbergii needle was studied after artificial inoculation of different concentrations of pine wood nematode， and the multiple spectral characteristic parameters were analyzed. The results showed that the green and near-infrared reflectance spectral curves could indicate the pine disease severity. The decline of spectral parameters such as red edge position blue shift， green peak height and red band depth， and the decrease of red edge slope could reflect well the disease situation of pine. All the results above provided a theoretical basis for the pine wilt disease monitoring and early warning by using hyperspectral remote sensing technology.

Key words Bursaphelenchus xylophilus；Pinus thunbergii Parl.；Spectral absorption；Spectral parameter

松材线虫病（Pine Wilt Disease），又称松树萎蔫病，该病害危害严重，发病快，传播迅速，防治困难。我国于1982年在南京中山陵首次发现松材线虫病以来，该病已扩散蔓延至全国16个省（市），对我国现有松林资源、生态景观和林业经济造成了极大破坏和严重威胁[1]。目前松材线虫病传播扩散的风险仍在不断加剧，防控形势依然十分严峻。

近年来，遥感技术在森林病虫害监测预警方面显现出独特的优势，20世纪末迅速发展起来的高光谱技术作为一种更先进的空间信息技术，能够利用很窄的电磁波段从地物获取连续光谱信息。植物具有特殊的反射光谱特征，且因植物种类、生长阶段、叶形结构、叶绿素含量、细胞含水量及健康状况而异[2]。……