干旱地区农业研究2018，Vol.36Issue(3)：266-269,291,5.DOI:10.7606/j.issn.1000-7601.2018.03.39
基于SPA-MLR方法的土壤含水量光谱预测模型研究
Study on the spectral prediction model of soil moisture content based on SPA-MLR method
摘要
Abstract
Based on hyperspectral data of artificially deployed soil with different moisture content,11 conven-tional transformation methods were used to transform the original spectral reflectance,successive projection algorithm(SPA)was used to extract the sensitive wavelengths,and then the multiple linear regression(MLR)model was established.different models were evaluated and compared in order to select the best hyperspectral model for monitoring soil moisture and achieve hyperspectral monitoring of soil moisture content.The results showed that the spectral reflectance increased first and then decreased with the increase of soil moisture content; and the char-acteristic bands of SPA extraction ranged from 3 to 5,and there were differences in the characteristic bands extrac-ted by different spectral transformations.The establishment of the MLR regression model using the characteristic wavebands shows that the original spectrum can improve the hyperspectral monitoring accuracy of soil moisture after a certain mathematical transformation.the SPA-MLR model based on spectral reflectivity of the first-order differen-tial logarithmic transform(T8)were the best,the calibration model showed that R2＝0.957,RMSE＝2.16,RPD＝4.74 and validation model showed that R2＝0.903,RMSE＝3.41,RPD＝2.95.Therefore,the SPA-MLR model based on the logarithmic first differential transformation of reflectance can realize the hyperspectral monitor of soil moisture content,and the study would provide technical support for rapid monitoring of the soil moisture content.关键词
光谱变换/土壤含水量/连续投影算法/多元线性回归Key words
spectral transform/soil moisture content/successive projection algorithm/multiple linear regres-sion分类
农业科技引用本文复制引用
贾学勤,冯美臣,杨武德,王超,孙慧,武改红,张松..基于SPA-MLR方法的土壤含水量光谱预测模型研究[J].干旱地区农业研究,2018,36(3):266-269,291,5.基金项目
山西省归国人员重点资助项目(2014-重点4) （2014-重点4）
山西省科学技术发展计划项目(201603D221037-3) （201603D221037-3）
山西省科技攻关项目(20110311038). （20110311038）
