【摘要】 针对土壤高光谱与水稻冠层高光谱反演多种土壤重金属含量精度差异较大的问题,探讨2种光谱反演土壤重金属适应性。通过对水稻冠层光谱与其土壤光谱的光谱指标变换,进行对比分析,在此基础上研究多元逐步回归、偏最小二乘回归在不同光谱指标下反演土壤重金属(Fe、Zn、Cu、Pb、Cd)的含量。结果表明,红光、近红外波段为土壤重金属含量敏感波段;水稻冠层波谱反演Fe、Zn、Pb、Cd含量的精度高于土壤波谱的反演精度;土壤波谱反演Cu含量的精度高于水稻冠层波谱反演精度。更多还原

【Abstract】 The study was based on the different spectral indices of rice canopy and soil spectrum to perform the analysis.On that basis,the multiple stepwise regression and partial least squares regression analysis were used to inverse soil heavy metals including Fe,Zn,Cu,Pb,and Cd by different spectral indices.The results show that the soil metals were well correlated with red and NIR band;rice canopy spectrum inversion model has higher inversion accuracy on Fe,Zn,Pb and Cd than soil spectrum inversion model;however,soil spectrum inversion model is better on Cu inversion.更多还原