Abstract
Soil salinity is one of the extensive environmental threats all around the world, especially in arid and semi-arid areas. Crop productivity and production losses caused by salinization have considerable impact on farm and irrigation project economics.The typical soil survey methods of field sampling, analysis and interpolation of these field data for salinity mapping, over extensive areas are comparatively costly and time consuming(Subramoniam, Bera and Sharma 2011). On the other hand, Satellite Remote Sensing (SRS) data provides pronounced prospective for monitoring dynamic processes, such as salinity. The present study shows that there is a negative correlation found between the
