Hyperspectral Inversion of Chromium Content in Soils of the Tangshan Iron Tailings Area

In this paper, a method of heavy metal chromium estimation was proposed, which can be used for soil heavy metal pollution evaluation in Anshan-type iron tailings.The content and spectral characteristics of chromium in 43 field samples were determined, and the optimal characteristic spectrum and model were obtained.Our research shows that SPA selects 18 band points of the full spectrum, RMSEP is 6.2, RPD is 2.5, and the SPA method for heavy metal chromium had the best prediction performance.Moreover, the inversion model obtained via successive projections algorithm-multiple linear regression (SPA-MLR) was found to be the best inversion model.Collectively, the findings of the present study provide a basis for the estimation of soil heavy metal content in the Anshan tailings area.