Study on Soil Cd Monitoring in Sewage Irrigation Area by Hyperspectral Remote Sensing
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Abstract:
The visible-near infrared spectrum curves of soil samples were collected from the sewage irrigation area in Shijiazhuang, and the regression models between soil Cd content and different spectral variables were developed using the correlation analysis and multivariate stepwise regression analysis. The results showed that cadmium has accumulated to some extent in the soil and exceeded the background value during the last 50 years of sewage irrigation, and the soil cadmium content was significantly related to the original spectrum and inverse-log spectrum in some bands, while had insignificant correlation with the continuum removal spectrum. Among the regression models, the inverse-log spectral model had the highest fitting accuracy with a root mean square error of 0.020 and prediction precision of 92.71%, which indicated that the inverse-log spectral variable model can predict the soil Cd content effectively in the study area.
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