Hyperspectral remote sensing inversion of soil salinity in north Shaanxi based on PLSR

Abstract

The salinized soil in northern Shaanxi Province was chosen as the study object. The hyperspectral data were collected and the soil samples were analyzed. First,the correlation between the soil salinity and the reflectance were analyzed,and the characteristic bands were fitted. The usual regression and partial least squares regression( PLSR) analysis was used to study the inversion model of soil salinity,and some testing samples were used to compare the accuracies. The results show that 482 nm,1 365 nm,1 384 nm,2 202 nm and 2 353 nm are five characteristic wavelengths,and the precision of inversion is satisfactory. The result of precision test indicates that the inversion model with PLSR calculated by Matlab is fairly good,and the correlation between the measured value and the predicted value is better.