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作 者:竞霞[1,2] 黄文江[1] 王纪华 王锦地[2] 王克如[3]
机构地区:[1]农业信息化工程技术研究中心,北京100097 [2]北京师范大学遥感科学国家重点实验室,北京100875 [3]石河子大学农学院,新疆石河子832003
出 处:《光谱学与光谱分析》2009年第12期3348-3352,共5页Spectroscopy and Spectral Analysis
基 金:国家“863”计划项目(2006AA10A302,2006AA10Z203);国家科技支撑计划项目(2006BAD10A01,2007BAH12B02);国家自然科学基金项目(40771134)资助
摘 要:对棉花单叶黄萎病病情严重度与原始及一阶微分光谱反射率、高光谱特征参数进行相关分析,构建病情严重度反演模型。结果表明:可见光和短波红外波段光谱反射率随病情严重度增加而增大,且可见光波段光谱反射率差异比短波红外波段更为显著。以红边面积为自变量的线性模型(r=0.6696)及以波长694nm处原始光谱反射率为自变量的对数模型(r=0.6794)均能较好反演病情严重度。通过模型精度检验发现,以714nm处一阶微分光谱反射率为自变量的线性模型为病情严重度诊断的最佳模型,即y=-282.3x+3.8112,该模型具有最大相关系数(拟合r=0.6992,预测r=0.9410),最小均方根误差(0.2571)和相对误差(12.74%)。文章结果对深入研究棉花黄萎病遥感监测机理提供了理论依据,对利用高光谱遥感数据获取病害信息具有重要应用价值。The correlation of cotton leaf verticillium wilt severity level with raw hyperspectral reflectance,first derivative hyperspectral reflectance,and hyperspectral characteristic parameters was analyzed.Using linear and nonlinear regression methods,the hyperspectral remote sensing retrieval models of verticillium wilt severity level with remote sensing parameters as independent variables were constructed and validated.The result showed that spectral reflectance increased significantly in visible and short infrared wave band with the increase in the severity level,and this is especially significant in visible band.The raw spectral reflectance has the maximum coefficient of determination at 694 nm(R2=0.461 6)with severity level and the logarithm model constructed with reflectance at this point is the better one as compared to linear model.By the precision evaluation of retrieval models,the linear model with the first derivative reflectance at 717 nm as independent variable was proved to be the best,with R2=0.488 9,RMSE=0.257 1,and relative error=12.74%,for the estimation of verticllium wilt severity level of cotton leaf.The results provide a good basis for further studying monitoring mechanism of cotton verticillium wilt by remote sensing data,and have an important application in acquiring cotton disease information using hyperspectral remote sensing.
关 键 词:棉花 黄萎病 病情严重度 高光谱特征变量 反演模型
分 类 号:S127[农业科学—农业基础科学]
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