]*>","")" /> Extracting Nitrogen Contents in Leaves of Cotton under Verticillium Wilt Stress Based on Hyper Spectra
Xinjiang Agricultural Sciences

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Extracting Nitrogen Contents in Leaves of Cotton under Verticillium Wilt Stress Based on Hyper Spectra

CHEN Bing;DENG Fu-jun;LIN Hai;HAN Huan-yong;WANG Fang-yong;LIU Zheng   

  • Received:2012-12-25 Revised:2012-12-25 Online:2012-12-25 Published:2012-12-25

基于光谱指数的棉花黄萎病叶片氮素含量提取

陈兵;邓福军;林海;韩焕勇;王方永;刘政   

  1. 新疆农垦科学院棉花研究所/农业部西北内陆区棉花生物学与遗传育种重点实验室/国家棉花改良中心新疆生产建设兵团分中心,新疆石河子,832003





摘要： [目的]研究棉花黄萎病叶片氮素含量与高光谱的关系,以期用简便、无损的遥感技术提取病害棉叶氮素含量,为大面积遥感监测棉花病害提供理论依据.[方法]通过小区和大田同步调查棉花黄萎病,在不同生育期测定病叶光谱及其氮素含量.将病叶光谱特征参数与氮素含量进行相关分析,建立病叶氮素含量估测模型并检验.[结果]随着病害严重度的增加,棉叶氮素含量逐渐减小.病叶氮素含量与光谱指数FD731、NDVI[670,890]、DVI[FD554,FD731]、PVI[FD554,FD731]、RDVI[702,758]、RDVI[FD554,FD731]、SAVI、OSAVI、PRI[570,531]、PRI[702,758]、REP、Lo、Depth672和Area672呈极显著正相关,与R550、R680、R702、SD737、DVI[450,560]、NDVI[702,758]、DVI[702,758]、RVI[702,758]、SIPI、TCARI、CCII、PPR[550,450]、Lwidth和ND672均呈极显著负相关,与Dr未达显著相关.选取相关系数较大的光谱参数建立的病叶氮素含量估测模型均达到显著水平,整体上利用DVI[702,758]、PVI[FD554,FD731]和NDVI[702,758]进行氮素含量的估测精度最高,模型的预测的相对误差均小于2;.[结论]考虑到DVI[702,758]建立的模型更为实用,可作为病害棉叶氮素含量的最佳估测模型.