The prediction of salinity levels was linearly and significantly high at R2 = 0.88, 0.84, and 0.87 for MTMF, LSU, and WI, respectively. The extents and the spatial distribution of the predicted classes were comparable and congruent in many places. Salinity levels strongly negatively correlated with soil reflectances (av. r = 鈭?#xA0;0.90) where coefficient of correlation becomes higher at longer wavelengths. This was also true for the at-sensor reflectances but at lower coefficient in the 2010 (av. r = 鈭?#xA0;0.47) and 2003 (av. r = 鈭?#xA0;0.32) images. The higher the salinity levels, the deeper (R2 = 0.55), broader (R2 = 0.63), and the more asymmetrical the water absorption band centered at 1925 nm indicating an increase in the soil moisture content. The proximity of cultivated clay loams to the urbanized flat depressions with local high heat islands irrigated by salt-laden groundwater contributed largely to raising the levels. MTMF model was the most appropriate among the SMA techniques to predict salt abundances and to determine the distribution of the slightly saline soils in the studied arid to semi-arid area.