基于反射光谱的不同播期冬小麦LAI监测研究

为利用遥感技术快速、无损伤监测不同播期冬小麦LAI,通过大田和室内试验,对5个不同播期处理的冬小麦LAI进行了测定,并在此基础上建立了基于反射光谱的不同播期冬小麦LAI监测模型。结果表明,在4个播期处理和一个所有播期组合下所建立的LAI监测光谱模型中,以播期3条件下的PVI(1460,460)和LAI相关性最好,决定系数可达0.8296,播期3是监测冬小麦LAI的最适播期,依此所建立的冬小麦LAI监测光谱模型是可行的。同时,所有播期组合的LAI与PVI(1460,460)也有较高的相关性,说明在此基础上所建立的模型具有较好的普适度,这为冬小麦品质的大尺度遥感监测和小麦生产的宏观管理调控提供理论依据。

Monitoring the LAI of Different Sowing Dates of Winter Wheat Based on the Reflectance Spectra

Field and lab experiments were conducted and canopy spectral and LAI in winter wheat were measured for monitoring the LAI of winter wheat at 5 different sowing dates.The model for monitoring LAI of winter wheat was constructed.The results showed that the PVI(1460,460)parameter based on the reflectance spectra had a high relationship with LAI whose determination coefficient could reach to 0.8296.It showed that the monitoring model based on the sowing date 3 was feasible in all 5 models,and the sowing date 3 was the best reasonable sowing date for monitoring the LAI of winter wheat.Meanwhile,the mixed sowing dates model that also had a high determination coefficient had a good applicability in large scale.It will support theoretical reference and guidance for monitoring the wheat quality in large-scale and managing wheat production macroscopically by remote sensing.