用高光谱微分指数识别冬小麦条锈病害研究  

Using Hyperspectral Derivative Index to Identify Winter Wheat Stripe Rust Disease

作　　者：李京[1] 陈云浩[1] 蒋金豹[1] 蔡洪春[1] 

机构地区：[1]北京师范大学资源学院

出　　处：《科技导报》2007年第6期23-26,共4页Science & Technology Review

基　　金：国防科技工业民用专项科研技术研究项目(JZ20050001-06);三维信息获取与应用教育部重点实验室项目(2005RS-3);遥感科学国家重点实验室开放基金项目

摘　　要：人工田间诱发不同等级小麦条锈病,在不同生育期测定染病冬小麦冠层光谱和相应的病情指数。对小麦冠层一阶微分光谱进行分析,结果表明随病情指数增大,一阶微分光谱在绿边(500～560nm)内逐渐增大,在红边(680～760nm)内逐渐降低。红边内一阶微分总和(SDr)与绿边内一阶微分总和(SDg)的比值,能够在症状出现前12d识别出健康作物与病害作物。因此,微分植被指数SDr/SDg能够较为理想地识别作物病害信息。The canopy reflectance of winter wheat infected with stripe rust of different severities through artificial inoculation and the disease index（DI） of the wheat corresponding to the spectra were measured in the field. The results shows that the 1st derivative values increase in the green edge （500-560 nm） and decrease in the red edge （680-760 nm） with DI increasing. The ratio of the sum of derivative within the red edge （SDr） and that within the green edge （SDg） has a good correlation with the healthy or diseased crops 12 days before symptoms appearing. Therefore, the derivative vegetation index SDr/SDg can be used to identify crops disease information effectively.

关 键 词：高光谱 条锈病 病情指数 冬小麦 病害识别 

分 类 号：S435.121[农业科学—农业昆虫与害虫防治]