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水稻白背飛虱蟲害的冠層光譜特性與蟲量反演
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    摘要:

    通過測試水稻白背飛虱主害代期間的冠層高光譜數(shù)據(jù),,采用多元統(tǒng)計分析方法對冠層反射光譜與白背飛虱百株蟲量進(jìn)行相關(guān)分析,,確定了近紅外波段779nm,、1685nm及可見光波段558nm為白背飛虱蟲害的3個敏感波段,;并基于這些敏感波段及由它們組成的比值植被指數(shù)(RVI)和歸一化植被指數(shù)(NDI),建立了檢測白背飛虱蟲量的5種單變量線性函數(shù)模型。分析表明,,5種模型方程在α=0.01條件下極顯著相關(guān),,而且利用敏感波段建模時,,779nm處的光譜反射率建立的模型為最優(yōu),,預(yù)測相關(guān)系數(shù)達(dá)到0.921;利用植被指數(shù)建模時,,RVI建立的模型為最優(yōu),,預(yù)測相關(guān)系數(shù)達(dá)到

    Abstract:

    0.802。The canopy hyperspectral reflectance data were recorded at the main harm stages of rice infected with Sogatella furcifera. Statistic multianalysis method was conducted on the correlation between canopy reflectance data and the Sogatella furcifera number of per hundred individual rice. Three bands, near infrared band 779nm, 1685nm and visible light band 558nm, were confirmed being sensitive to insect pest of Sogatella furcifera. Combining two bands reflectance (779nm and 558nm) into vegetation indices of RVI (ratio vegetation index) and NDVI (normalized difference vegetation index), five single variables of linear function models against the Sogatella furcefera number were established based on sensitive bands, RVI and NDVI. The results show that the five types of function models have significant correlation if α=0.01. The model established by using of the band 779nm is optimal as using sensitive band and the correlation coefficient is 0.921. The model established by using of RVI is optimal as using vegetation index and the correlation coefficient is 0.802.  

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邱白晶,陳國平,程麒文.水稻白背飛虱蟲害的冠層光譜特性與蟲量反演[J].農(nóng)業(yè)機(jī)械學(xué)報,2008,39(9):92-95.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(9):92-95.

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