In agricultural lands

Soil salinization is one of the main factors of land degradation in arid and semi-arid regions and one of the most important factors limiting the production of agricultural products is of great importance. Therefore, evaluating and identifying soil salinity seems necessary in managing agricultural and environmental projects and projects, as well as ensuring food security. Soil salinity mapping is one of the first steps in identifying this land, which is an innovative and efficient way of developing remote sensing technology using satellite imagery. In this project, in order to identify and evaluate soil salinity, 65 samples were taken from Semnan central part of Semnan province, from the surface of soil identification (average 0-15 centimeters) and sent to the laboratory. Then, to investigate the relationship between electrical conductivity and spectral reflections of the satellite, ETM + satellite images were used on October 14, 2008 and statistical models were used and a number of spectral indices such as salinity, vegetation spectral transfer and main components were identified and evaluated for salinity . The results showed that there is a meaningful relationship between the EC soil with the images of the cells and some derivatives of the images. In these indices, the 7th ETM + band of the 9th satellite is more than ninth (75%) with the electrical power of the observed soil and can be used for prediction and estimation. Different regression methods were used to estimate salinity. After assessing the statistical significance of the presentations, using the 15 test points, the stepwise method with the 60% explanatory factor was chosen for the .study area, which is the rate of RMSE and MBE for this relationship is 2.833 and -808 respectively