| 基于高光谱微分指数监测春玉米大斑病的研究 |
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| 引用本文： | 刘佳,邵杰,王利民,杨福刚,杨玲波.基于高光谱微分指数监测春玉米大斑病的研究[J].中国农学通报,2019,35(6):143-150. |
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| 作者姓名： | 刘佳 邵杰 王利民 杨福刚 杨玲波 |
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| 作者单位： | 中国农业科学院农业资源与农业区划研究所 |
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| 基金项目： | 北京空间机电研究所开放基金项目课题“多光谱相机在作物病虫害监测中的应用方法与潜力研究”。 |
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| 摘 要： | 利用人工接种病菌的方式诱发不同等级春玉米大斑病，在不同生育期测定正常种植区春玉米和不同染病种植区春玉米冠层的高光谱数据。为了有效监测和控制春玉米大斑病的影响，本研究以抽雄期的春玉米冠层高光谱数据为基础，提出了一个新的遥感监测指数，该指数为绿边核心区内一阶微分总和与红边核心区内一阶微分总和的乘积。最后，该监测指数与病害程度的相关性分析结果表明：本研究提出的监测指数与病害程度具有显著地线性相关性，相关系数r2=0.9711，优于常用监测指数与病情之间的相关性，能识别出健康与病害作物，且还可实现作物不同病害严重程度的划分。可见，高光谱遥感方式可进行作物病害监测，对提高粮食产量和保障粮食安全亦具有重要的参考价值。
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| 关 键 词： | 秸秆还田 秸秆还田 播种方式 稻茬小麦 出苗 产量 |
| 收稿时间： | 2018/9/5 0:00:00 |
| 修稿时间： | 2019/1/22 0:00:00 |
Spring Corn Leaf Blight Monitoring Based on Hyperspectral Derivative Index |
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| Abstract: | Spring corn leaf blight with different grades was induced by artificial inoculation of pathogenic bacteria, the hyperspectral data of spring corn canopies in both healthy planting area and different infected planting areas were measured at different growth stages. To effectively monitor and control the effects of spring corn leaf blight, this study proposed a new remote sensing monitoring index which was the product of the sum total of the first derivative within green edge core area and the sum total of the first derivative within red edge core area. Finally, the results of correlation analysis between the proposed monitoring index and degrees of disease showed that the proposed index had significant linear correlation with the degrees of disease, and the correlation coefficient was 0.9711, which was better than the results of other traditional remote sensing monitoring index. The proposed index could be used for recognition of healthy spring corn and infected spring corn, and also could be used for spring corn classification of different disease grades. Therefore, hyperspectral remote sensing method could be used for disease monitoring of spring corn, and has great reference for improving grain output and ensuring grain security. |
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| Keywords: | hyperspectral remote sensing spring corn disease stress spectrum first derivative monitoring index disease degree |
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