[Objective] Constructing a multiple linear regression model of describing soil chloride ion with high spectral bands as independent variables to get soil salinization information, in order to provide a more effective method for the high precision extraction of salt, and to provide scientific basis for the reconstruction of agricultural ecological environment.[Methods] 93 field soil samples were collected and processed by high ASD spectrometer in Kenli County of Shandong Province on October 5 to 7, 2014. A estimating model was built using multiple regression and principal component analysis method to evaluating the content of chloride ion quickly.[Results] The chloride ion is sensitive in the 749, 830, 987, 1 301, 1 432 and 1 486 nm of spectral bands. An optimum model for predicting chlorine ion content in indoor dried soil was obtained on the basis of soil spectral analysis, this model was verified by Student's t test.[Conclusion] The cations in the soil components of the study area are mainly sodium ions, the anions are mainly chloride ions, and this model makes it possible to obtain soil salinity indirectly.