收稿日期: 2010-04-26
修回日期: 2010-05-31
网络出版日期: 2011-03-15
基金资助
中国科学院知识创新工程重要方向项目(KZCX2-YW-340)资助
Retrieval of soil organic matter content from hyper-spectra in Songnen Plain
Received date: 2010-04-26
Revised date: 2010-05-31
Online published: 2011-03-15
武彦清 , 张柏 , 宋开山 , 刘焕军 , 王宗明 , 刘殿伟 . 松嫩平原土壤有机质含量高光谱反演研究[J]. 中国科学院大学学报, 2011 , 28(2) : 187 -194 . DOI: 10.7523/j.issn.2095-6134.2011.2.008
A total of 252 soil samples were collected in Songnen Plain. Reflectance was measured in a controlled laboratory environment. After pre-processing of the primitive spectra, hyper-spectral models for predicting soil organic matter content were built up by using the methods of Stepwise Multiple Linear Regression (SMLR) and Partial Least Squares Regression(PLSR). The results show that the models using the two methods are capable of predicting SOM content and the model using PLSR is more robust.
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