关键词: 高光谱反射特征, 土壤粒径, 土壤有机质, 预测

Abstract: In order to study the hyperspectral diagnostic method of desert soil organic matter, the hyperspectral reflectance characteristics of both no-grinded and 2 mm particle size samples as well as their correlation with organic matter content were analyzed. Results showed that the original spectral reflectance of no-grinded sample had very significantly negative correlation with soil organic matter in 365.0~449.2 nm and 449.2~567.8 nm. The reflectance of mathematical transformation expanded the scope of related band. The maximum correlation coefficient between the spectral reflectance of 2 mm sample and soil organic matter (|r|=0.420) was higher than that between the spectral reflectance of no-grinded sample and soil organic matter (|r|=0.351). By first-order differential transformation of 2 mm sample spectral reflectance, the hyperspectral prediction model of desert soil organic matter was developed in 569.2 nm and 1141.5 nm, the prediction precision of soil organic matter content was higher, but the prediction accuracy was poor when the organic matter content was less than 9 g·kg^-1.

Key words: Hyperspectral reflectance characteristics, Soil particle size, Soil organic matter, Prediction