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烤烟发病叶片高光谱特征分析
  • ISSN号:1004-5708
  • 期刊名称:《中国烟草学报》
  • 时间:0
  • 分类:S435.121[农业科学—农业昆虫与害虫防治;农业科学—植物保护]
  • 作者机构:[1]山东农业大学资源与环境学院、山东泰安岱宗大街61号,271018, [2]中国农业科学院烟草研究所、山东青岛科苑经四路11号,266101
  • 相关基金:国家自然科学基金资助项目(No.41171425)
中文摘要:

为推进高光谱遥感技术在烟草病害监测和病害预测上的应用,利用野外光谱仪在山东省费县烤烟种植区研究了发病烤烟叶片与健康烤烟叶片的高光谱反射率特征。研究发现,烤烟病叶与健康叶片的光谱反射率有明显差异,病叶的高光谱反射率明显高于健康叶片;在550 nm处,随着叶片发病程度的增加,绿峰有向红光方向移动的趋势。随着病情程度的增加,烟草单叶光谱的红边位置向短波方向移动,即红边斜率减小,红边发生"蓝移";病害越重,蓝移越明显。利用高光谱遥感技术,可以预测和监控烤烟病害的发生及蔓延。

英文摘要:

To promote the application of hyperspectral remote sensing in monitoring and predicting the diseases of flue-cured tobacco, hyperspectral reflectance of infected and healthy tobacco leaves were studied by using ASD hand-held spectroradiometers in Fei County of Shandong province. Results suggested that there was remarkable difference in hyperspectral reflectance between infected tobacco leaves and healthy ones, and reflectivity of infected tobacco leaves was higher than that of healthy ones; as tobacco disease grew worse, green peak(550nm) of reflection spectrum moved to long wave. First derivative of reflectance curve of single tobacco leaf told us that "red edge" of reflection spectrum of infected leaves moved to short wave, which became more obvious when tobacco disease was getting worse. So it was proved that tobacco diseases could be monitored and predicted by hyperspectral remote sensing.

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期刊信息
  • 《中国烟草学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国烟草学会
  • 主编:袁行思
  • 地址:北京日坛南街55号
  • 邮编:100045
  • 邮箱:xh-bj@tobacco.gov.cn
  • 电话:010-63605768 63606237
  • 国际标准刊号:ISSN:1004-5708
  • 国内统一刊号:ISSN:11-2985/TS
  • 邮发代号:80-504
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国工程索引,中国中国科技核心期刊,中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:9701