Spectral Features of Soil Organic Matter

The spectral curves between 400 nm~2 500 nm of 174 soil samples which were collected in Hengshan County and Yixing County were studied.Fourteen types of transformation were applied to the soil reflectance R to remove the noise and linearize the correlation between reflectance(independent variable) and soil physical-chemical properties(dependent variable).Then,methods such as derivative spectrum technology,stepwise regression analysis,were applied to study the relationship between these soil spectral features and soil organic matter content.It shows that order 1derivative of the logarithm of albedo is the most sensitive to SOM among the various albedo transforms in consideration.The regression model whose coefficient of determination reaches 0.885 is built.