This article summarizes a near-infrar ed hyperspectral imaging technique was investigated for non-destructive determi nation of soil salinity,and the changes of soil moisture and soil spectral curve s on different days were compared and analyzed.The results show that the evapora tion of soil water is affected to different degrees with the increase of soil sa linity,so that the reflectance of soil with different salinity exists an obvious rule.On this basis,different pretreatment methods were compared and analyzed to optimize the original spectrum.MLR,PCR and PLSR modeling were used to optimize the best model for feature wavelengths.Compared with different modeling effects, optimize the PLSR model of characteristic wavelength extracted by β coefficient was obtained.The optimal characteristic wavelengths are 936,6,1016,1136,1151,1186,1273,1395,1425,1458,1535,1642nm,respectively.The prediction coefficient R_p is 0.949,and the RMSEP is 2.914g/kg.Therefore,soil salinity can be quantitat ively analyzed by different bands,which lays a foundation for remote sensing pre diction of soil salinity in the future.