中国水稻科学

中国水稻科学

• 研究报告 • 上一篇    下一篇

褐飞虱危害在水稻植株光谱反射率上的表现

孙启花;刘向东*

  

  1. 南京农业大学 植物保护学院 昆虫学系/农业部作物病虫害监测与防控重点开放实验室， 江苏 南京 210095； *通讯联系人， E-mail: liuxd@njau.edu.cn
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-10 发布日期:2010-03-10

Spectral Characteristics of the Damaged Rice Plant by Brown Planthopper， Nilaparvata lugens

SUN Qihua, LIU Xiangdong*   

  1. Department of Entomology, College of Plant Protection, Nanjing Agricultural University/Key Laboratory of Monitoring and Management of Crop Diseases and Pest Insects, Ministry of Agriculture, Nanjing 210095, China; *Corresponding author, E-mail: liuxd@njau.edu.cn
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-10 Published:2010-03-10

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摘要： 利用手持式光谱仪测定了褐飞虱为害后稻株的光谱反射率。在可见光和近红外区，随褐飞虱虫量和虫龄的增加稻株光谱反射率呈下降趋势，近红外光区的光谱反射率可很好地表征褐飞虱不同龄期、不同虫量及成虫产卵对稻株的危害程度。各波长处的光谱反射率与褐飞虱虫量间存在明显的负相关，并且在520~570 nm和700~1000 nm波长范围内的相关性达到了极显著水平。褐飞虱为害后稻株光谱的红边斜率和红边面积也分别与虫量存在极显著相关。利用虫害后稻株在可见光波长550 nm处的反射率（R550）和近红外光区波长760 nm处的反射率（R760）、红边参数值与未受害稻株相应值的比值建立了褐飞虱虫量的预测模型，发现在19次预测中，各模型的预测正确率为53%~79%，且R760因子对褐飞虱虫量有相对较好的预测效果。

关键词: 褐飞虱, 危害程度, 高光谱遥感, 光谱反射率, 红边参数, 预测模型

Abstract: The reflectance of rice plant damaged by the brown planthopper(BPH, Nilaparvata lugens) was measured using an ASD handheld spectroradiometer. The results showed that the spectral reflectances at the range of wavelengths of visible light and near infrared regions decreased significantly with the increase of the number and instar of BPHs. The damage degrees of rice plants caused by the BPH nymphae with different numbers or at different instars, and by the oviposition behaviour of adult were expressed well by the spectral reflectance in the nearinfrared wavelengths. The reflectance was negatively correlated with the number of BPHs, and the correlation coefficients were significant at the range of wavelengths of 520-570 nm and 700-1000 nm. The red edge slope （Dλred） and red edge area （Sred） of the reflectance also significantly correlated with the number of nymphae. The linear models for forecasting the occurrence number of BPHs were built using following relative indexes to the undamaged plants: the spectral reflectance at the wavelengths of 550 nm (R550) and 760 nm (R760), and the red edge indexes (Dλred and Sred). The accuracy of the models were 53%-79% for the 19 times tests. The factor of R760 was efficient for forecasting the number of BPHs.

Key words: brown planthopper, damage degree, hyperspectral remote sensing, spectral reflectance, red edge index, forecast model