基于无人机高光谱棉田土壤含水量反演研究

Inversion of Soil Moisture in Cotton Fields Based on UAV Hyperspectral Remote Sensing

以兵团农六师共青团农场示范园棉田为研究区域,采集无人机高光谱数据、土壤含水量及棉花叶片光谱数据,分析土壤含水量与叶片光谱特征相关性,构建地面高光谱与无人机高光谱土壤含水量反演模型。基于两种数据源相同采样点光谱曲线特征对比分析结果,对无人机高光谱土壤含水量反演模型进行优化校正,实现地面研究成果与航天/空遥感数据结合,为无人机高光谱遥感技术在精准农业中的应用提供思路和方法。

Taking the cotton field in the demonstration garden of the communist youth league farm of the 6th agricultural division of the corps as the research area,the hyperspectral data of UAV,soil moisture and cotton leaf spectral data were collected,the correlation between soil moisture and leaf spectral characteristics was analyzed,and the inversion model of measured hyperspectral and UAV hyperspectral soil moisture was constructed.Based on result of comparative analysis of spectral features of the same sampling point between measured hyperspectral and UAV hyperspectral data,the UAV high-spectral soil moisture content inversion model was optimized,that realized ground research results and aerospace/aviation remote sensing data combination and provided ideas and methods for the application of UAV high spectral remote sensing technology in precision agriculture.