基于高光谱植被指数的夏玉米地上干物质量估算模型研究

发布时间：2018-03-12 10:26

本文选题：夏玉米　切入点：冠层　出处：《农业机械学报》2016年03期 　论文类型：期刊论文

【摘要】：2011—2014年连续实施夏玉米长势监测定位实验,在5种不同施氮量、4种不同施磷量和2个夏玉米品种处理下,测定了大喇叭口期、吐丝期、灌浆期和成熟期夏玉米冠层高光谱反射率及对应的地上干物质积累量(Aboveground dry matter accumulation,ADMA)。选取了21个光谱植被指数,利用2011年和2013年综合数据进行线性函数、对数函数、二次函数和指数函数模型拟合。在每个生育时期,选择决定系数和F值最高的3个模型,并用2012年和2014年测定光谱数据与地上干物质量对拟合模型进行均方根差和相对误差的验证,选择均方根差和相对误差较小的拟合模型为最适模型。结果表明,在大喇叭口期、吐丝期、灌浆期和成熟期,夏玉米地上干物质量的最佳拟合光谱植被指数分别为GNDVI、PSSRc、NDVI4和DI。
[Abstract]:The growth monitoring and localization experiment of summer maize was carried out continuously from 2011 to 2014. Under the treatments of 5 different nitrogen and 4 different phosphorus rates and 2 summer maize varieties, the big bell mouth stage and silking stage were measured. The hyperspectral reflectance of maize canopy and the corresponding dry matter accumulation in the canopy of summer maize during grain filling and maturation were studied. 21 spectral vegetation indices were selected, and the linear function and logarithmic function were carried out by using the comprehensive data of 2011 and 2013. Model fitting of quadratic function and exponential function. In each growing period, three models with the highest determining coefficient and F value were selected. The root-mean-square difference and relative error of the fitting model were verified by measuring spectral data and dry matter mass on 2012 and 2014. The fitting model with small RMS difference and relative error was selected as the optimum model. The optimum fitting spectral vegetation index of dry matter mass of summer maize at silking stage, filling stage and maturity stage was GNDVI PSSRcN NDVI4 and DI, respectively.
【作者单位】：西北农林科技大学农学院;河南省农业科学院农业经济与信息研究所;
【基金】：国家高技术研究发展计划(863计划)项目(2013AA102902) 国家自然科学基金项目(31571620、31071374)
【分类号】：S513;S127

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