Modeling Soil Salinity and Mapping Using Spectral Remote Sensing Data in the Arid and Semi-arid Region

Arid and semi-arid region is one of the most areas exposed to the risk of salinization, where the soil salinity is the one of the severe global problems and environmental issues which faces the world; in addition, it has effects on land cover and productivity of the agriculture land leading to a decrease fertility and quality of the soil. This degradation occurs in agriculture practices (Human activities) or naturally, therefore it is important to detect the soil salinity at an early stage through mapping and monitor the salinization to support soil reclamation and increase effective and productivity of the soil that decreases the effect of salinization in soil quality and helps prevent increasing the impact of salinity in the future. This paper aims to study possibility of using an image of the spectral remote sensing data and field survey to sampling soil and measure salinity using significant parameter e.g, Sodium Absorption Ratio (SAR) to develop experimentally model allowing the mapping of soil salinity in the arid and semi-arid region.