Soil salinization is one of the most serious environmental issues degrading land resources globally, particularly in arid and semi-arid regions. Therefore, regional and precise monitoring of soil salinity is required to prevent and mitigate salinization. This study aimed to specify an effective monitoring method with remote sensing techniques using the Dakhla Oasis, central Western Desert of Egypt as a case study area. For ground-truthing, electrical conductivity, pH, reflectance spectra, and mineral compositions were measured for top soil samples from 31 points. Spectral data from a Landsat8 OLI image of one scene acquired close to the ground sampling time was used to estimate soil salinity using a variety of methods, including single band, band ratio and combination, spectral index, linear spectral unmixing (LSU), and mixture tuned matched filtering (MTMF).