In this study, using linear multivariate regression, the relationship between different remote sensing indices (obtained from Landsat satellite images) and surface soil salinity in the study area in 2014 was determined. One of the notable points in the present study is that agricultural areas and rangelands are separated from each other and soil salinity classification has been done only for rangelands. It is inferred that in agricultural lands, soil salinity is a function of farm management, especially irrigation, and it is not possible to determine and model soil salinity without considering this important. Therefore, the soil salinity classification map in this study can be cited in rangeland areas. One of the most important issues that has led to a lack of significant relationship between satellite remote sensing indices and soil salinity of agricultural areas is the type of agricultural cover, which in the study area are mainly perennial pistachio trees. Soil salinity of pistachio orchards at the time of sampling, can not immediately affect the reflections made from the tree surface and computational indicators by these reflections, and this issue creates a significant relationship between soil salinity and remote sensing indicators پرونده مقاله