The Zona Bananera region is the main agricultural zone from the last century in the north of Colombia; soils affected by salts (SAS) is the most important soil degradation problem in all Colombian Caribbean coast. However, the cost and dispensable of conventional soil survey methodologies limited the implementation of SAS detailed maps in the region. In this study, the soil and landscape relationship were implemented than a tool to identify the presence of primary and secondary salts in relation to soil geomorphological position. The sampling sites were selected using the Conditioned Latin Hypercube (CLH); Near Infrared Spectroscopy (NIRS) is evaluated than an alternative for assessing soil spatial variability through partial least squares (PLS), partial least squares regression (PLSR), and principal components regression (PCR) models. The spectra were corroborated with conventional analyses, the pretreatments of the Savitsky-Golay filter and the Standard Normal Variation (SNV). A total of 75 model combinations were evaluated selected the best R2 for pH (0.6), EC (0.52), Cl (0.55), HCO3 (0.52), SO4 (0.39). Ordinary Kriging (OK) was used to evaluate the variables associated with salt presence, and the correlation between SAS and geomorphological position evidenced the influence of fluviomarine dynamics and ancient salt marshes on the primary and potential salts concentration in the study area.