刚竹毒蛾危害下的毛竹叶片光谱特征波长研究

旨在获取刚竹毒蛾危害下的毛竹叶片光谱特征波长，以助于该虫害的有效、准确识别。将于福建省顺昌县实测的105条高光谱数据随机划分为实验组(71条)和验证组(34条)。基于实验组数据，利用单因素方差分析获取健康、轻度危害、中度危害、重度危害等虫害等级间具有极显著差异的波长；结合常用遥感卫星的波段设置对上述波长进行筛选，采用欧式距离、相关系数及光谱角匹配等3种方法判定其虫害判别能力，获取特征波长，并引入验证组样本对其予以验证。结果表明：(1)受害叶片的光谱反射率明显低于健康叶片，虫害等级越高，其反射率越低；(2)受害叶片的光谱特征变化较大，随着虫害等级的上升，其光谱曲线中的“绿峰”及“红谷”趋于消失，“红边”斜率逐渐减小；(3)确定原始光谱703.43~898.56 nm及一阶微分光谱497.68~540.72，554.53~585.25和596.24~618.23 nm为刚竹毒蛾危害下的毛竹叶片光谱特征波长，其对该虫害具有较强的判别能力。该研究从叶片尺度剖析了寄主对刚竹毒蛾的响应机理，是“地-天”耦合的理论基础，可为虫害遥感监测技术体系的建立提供重要依据。

Spectral Characteristic Wavelengths of Moso Bamboo Leaves Damaged by Pantana Phyllostachysae Chao

The paper aims to obtain the characteristic wavelengths of moso bamboo leaves damaged by Pantana phyllostachysae chao, with which the pest can be identified effectively and accurately. 105 hyperspectral data collected in Shunchang County, Fujian Province were randomly divided into two groups, i.e. the experimental group (71) and verificantion group (34). Selecting wavelengths which were highly significant differences between different pest levels group by One-way ANOVA. The wavelengths were screened by combining the wave band of the commonly used remote sensing satellite. The ability to discriminate between the pests of the selected wavelengths was analyzed by the Euclidean distance method, spectral angle mapping method and correlation coefficient method. According to the analysis results, the characteristic wavelengths were obtained and verified. The results showed that: (1) the spectral reflectance of moso bamboo leaves damaged by P. phyllostachysae were significantly lower than that of healthy leaves, and the higher the pest level is, the lower the reflectance will be; (2) with the increase in pest level, the spectral reflectance curves’ “green peak” and “red balley” of Pinus massoniana gradually disappeared, and the red edge was leveled; (3) the characteristic wavelengths of 703.43~898.56 nm (original spectrum) and 497.68~540.72, 554.53~585.25, 596.24~618.23 nm (first derivative spectrum) were determined, which had good response ability at different pest levels. Our findings will not only provide the theoretical guidliances for “ground-space” coupling, but also provide important basis for establishing the system of pest remote sensing monitoring technology.