基于高光谱遥感的小麦条锈病胁迫下的产量损失估计  

Yield Loss Assessment Under Wheat Stripe Rust Stress Based on Hyperspectral Remote Sensing

作　　者：王爽[1] 马占鸿[1] 孙振宇[1] 黄冲[1] 王海光[1] 闫佳会[1] 梁俊敏[1] 

机构地区：[1]中国农业大学植物病理学系/农业部植物病理学重点开放实验室,北京100193

出　　处：《中国农学通报》2011年第21期253-258,共6页Chinese Agricultural Science Bulletin

基　　金：国家自然科学基金项目"小麦条锈病卫星遥感监测关键技术研究"(31071642);公益性行业(农业)科研专项经费项目"小麦锈病监测与综合治理技术研究与示范"(200903035;200903004)

摘　　要：为利用高光谱遥感监测小麦条锈病,并对小麦条锈病胁迫下的产量损失进行估计,通过分析发生条锈病后的小麦冠层光谱及一阶微分的特征,分析病情指数对产量及产量构成因素的影响,分析产量和不同生育时期的光谱反射率及一阶微分光谱的相关关系,从中提取相关性高的植被指数和一阶微分参数建立产量模拟方程。结果表明,在一定范围内,产量损失随着病情指数的增大而增大,光谱反射率与产量在各个生育期都表现出稳定的显著正相关关系,从中提取相关性高的植被指数(NDVI和RVI)和一阶微分参数(SDr),利用植被指数(NDVI和RVI)建立的多时相产量模拟方程,其模拟效果较好;利用一阶微分参数(SDr)建立的不同生育时期产量回归方程,模拟的精度较高。研究结果对利用高光谱遥感监测作物病害胁迫下产量具有实际应用价值。In order to monitor the wheat stripe rust with hyperspectral remote sensing and estimate the loss of wheat yields.The author analyzed spectrum and the first derivatives characteristic after infecting wheat stripe rust,the effect of the disease index on yield and yield component factors,the correlation between yield and spectral reflectance,first derivatives spectrum,chose the vegetation index and the first derivatives parameters of the high correlation to built yield simulation equations.The results showed that yields loss increased with the disease index increasing within a certain range.Chose the vegetation index（NDVI and RVI） and the first derivatives parameters（SDr） of the high correlation to build yield simulation equations.The vegetation index NDVI and RVI established multi-temporal combination simulation equation,the equations were fit well,the first derivatives parameters SDr were built yield regression equation of the different growth stages with higher precision.The conclusion of this paper had great practice and application value to monitor the yield under wheat stripe rust stress.

关 键 词：小麦条锈病 产量 遥感 估计 

分 类 号：S127[农业科学—农业基础科学]