水稻白背飞虱虫害的冠层光谱特性与虫量反演

摘要:

通过测试水稻白背飞虱主害代期间的冠层高光谱数据，采用多元统计分析方法对冠层反射光谱与白背飞虱百株虫量进行相关分析，确定了近红外波段779nm、1685nm及可见光波段558nm为白背飞虱虫害的3个敏感波段；并基于这些敏感波段及由它们组成的比值植被指数(RVI)和归一化植被指数(NDI)，建立了检测白背飞虱虫量的5种单变量线性函数模型。分析表明，5种模型方程在α=0.01条件下极显著相关，而且利用敏感波段建模时，779nm处的光谱反射率建立的模型为最优，预测相关系数达到0.921；利用植被指数建模时，RVI建立的模型为最优，预测相关系数达到

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.  