One of the major hindrance to Iran’s natural resources is a paucity of information on ecosystem that eventually follow retrogressive step in water and soil potentiality and even vegetation and rich greenery that results in desertification. For studying and determining the velocity and trend of deforestation, there are need for wide range of spatial and chronological data, facts and information and also it is indispensible that various index such as soil erosion, soil and water salinity, vegetation and their abundance, drought intensity, environmental destruction of hydro equilibrium, density of human population, livestock and wild animal population are needed full-scale study. Regarding the high capability of satellite images such as being up to date, multi – spectra, recurrent, extensive coverage and ever increasing the spectral and spatial resolution of those images, they can come in useful for studying the different attributes of desertification like salinity and alkalizing the farm lands. The main goals of this study are the investigation of the possibility of preparing the map for different features of the soil in accordance with physical-chemical of soils and even the investigation of the possibility of segregation of saline farm lands from alkaline lands by satellite data and the assessment of efficiency of these data in determining the amount of saline and alkaline soils in drought places. The Aster measured images because of being active band at different length including visual, near infra red, short wave infra red, termal infra red and suitable ground resolution are recognized as suitable ones for the purpose of fulfilling the goals. Firstly, the images with the mean of 0-1 deviance are corrected in geometrically manner. Then, the best combination for continuing the artificial colored images in respect to the OIF index in a form of 6,3,8, combination are determined in a way that this combination can be used in exerting the unsupervised
