Soil salinity is one of the major environmental problems that lead to crop yields failure and exacerbation of desertification in natural resources area. More than 15 percent in Iran area are affected by salinity, and, evidences based on objective observations show these areas are developing every year. Other limitations of the soils in arid and desert regions are calcite, gypsum and alkalinity that considering the percentage of minerals in the soils and natural ecosystems, human interference cause to increasing of desert areas. For principled decision making on agricultural product management, combating desertification and its consequences problems and use of production resources to achieve sustainable development, understanding and knowledge of the origin, amount and area of salinity, the percentage of calcite, gypsum and other mineral of soil in each region is essential. One of the effective tools for investigating of surface soil salinity is remote sensing technology. This study aimed to evaluate the ability of Landsat TM satellite data during Shahrivar 1388 over Varzaneh and Hasan-abad regions, located on southeastern of Isfahan province, for identification and separation of saline, calcite and gypsum land by field studies and soil laboratory results. In order to prepare satellite image, geometric correction was performed; this was done by image-to-image method, ground checkpoints and 1:25000 scale topographic map with UTM coordinates and accuracy of about 0.3 pixel. Stratified random sampling techniques were used for field sampling. Before sampling, unsupervised Keyword: Salinity, Desertification, Remote sensing, Salinity index, Multiple linear regression, Supervised
