Hyperspectral reflectance models for retrieving heavy metal content: application in the archaeological soil soil
重金属含量的高光谱建模反演: 考古土壤中的应用

This paper, based on the rapid and nondestructive testing of hyperspectral reflectance compared with conventional methods, constructs hyperspectral models for retrieving soil heavy metal content in different historical period by correlation analysis and multivariable statistical method. The result shows that the correlation between content of Cd, Cr, Cu, Ni, Pb and hyperspectral reflectance of 400 ~ 550nm and 1000 ~ 2500nm is more marked than other bands, and that the correlation enhanced remarkable after the original spectra derivate transformed. The first derivate stepwise linear regression model is optimal for retrieving soil heavy metal content in different period, with a minimum determination coefficient of 0.92 and maximum rmse of 1.83. The relationship of As with reflectance spectra was affected by ferriferous oxides, organic matter and carbonate mineral; of Cd, Cu and Ni, by ferriferous oxides, clay mineral and organic matter, respectively; of Cr, by many factors; and of Pb, by both ferriferous oxides and clay mineral.