Application of Slope/Bias and Direct Standardization Algorithms to Correct the Effect of Soil Moisture for the Prediction of Soil Organic Matter Content Based on the Near Infrared Spectroscopy
WANG Shi-fang1,2,3, HAN Ping1,3*, SONG Hai-yan2*, LIANG Gang1,3, CHENG Xu2
1. Beijing Research Center for Agriculture Standards and Testing, Beijing 100097, China
2. College of Engineering, Shanxi Agricultural University, Taigu 030801, China
3. Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China
Abstract：Soil moisture has strong absorption in near infrared spectroscopy (NIRS) and causes interference in the prediction of the soil organic matter (SOM) content. In this paper, 41 dry soil samples were used to establish the SOM calibration model by PLSR, and 9 samples were used as the prediction set. All soil samples were rewetted to four different moisture contents (5%, 10%, 15% and 17%). The slope/bias (S/B) and direct standardization (DS) algorithms were used to correct SOM prediction results and whole-spectra obtained by different moisture content, eliminating the differences caused by soil moisture. The results showed that the bias reduced and prediction performances of the model were improved, with Rp higher than 0.89 and RMSEP lower than 0.885%. The study indicated that S/B and DS algorithm corrections could effectively remove the influence of soil moisture in NIRS and improve the accuracy of SOM predictions.
Key words：Slope/bias algorithm; Direct standardization algorithm; Soil moisture; Soil organic matter; Near infrared spectroscopy
基金资助: The National Key Research and Development Program of China(2016YFD0701804), the National Natural Science Foundation of China(41201294), the Collaborative Innovation Center Project of Beijing Academy of Agricultural and Forestry Sciences
作者简介: WANG Shi-fang, (1989—), Master, Beijing Research Center for Agriculture Standards and Testing
e-mail:
wangshifang1302@126.com
引用本文:
王世芳, 韩 平, 宋海燕, 梁 刚, 程 旭. S/B和DS算法校正土壤水分对土壤有机质近红外光谱预测的影响[J]. 光谱学与光谱分析, 2019, 39(06): 1986-1992.
WANG Shi-fang, HAN Ping, SONG Hai-yan, LIANG Gang, CHENG Xu. Application of Slope/Bias and Direct Standardization Algorithms to Correct the Effect of Soil Moisture for the Prediction of Soil Organic Matter Content Based on the Near Infrared Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(06): 1986-1992.
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