安徽农业科学2018，Vol.46Issue(2)：1-3,7,4.
基于高光谱的土壤有机碳含量预测研究
Prediction Research of Soil Organic Carbon Content Based on Hypers Pectral
摘要
Abstract
[Objective] To predict soil organic carbon content.[Method] Surface soil was detected by high spectrometer spectrometric and spectral data was treated,through stepwise multiple linear regression (SMLR) and partial least-squares regression (PLSR) method,soil organic carbon content was predicted,and the accuracy of the two models was compared.[Result] The accuracy of PLSR model was higher than SMLR model.[Conclusion] PLSR method is better than SMLR method in forecasting organic carbon.关键词
土壤/有机碳/高光谱/多元线性逐步回归/偏最小二乘回归Key words
Soil/Organic carbon/Hyperspectral/SMLR/PLSR分类
农业科技引用本文复制引用
张静..基于高光谱的土壤有机碳含量预测研究[J].安徽农业科学,2018,46(2):1-3,7,4.
