Estimation of Soil Electrical Conductivity using Dual – Polarized SAR Sentinel -1 Imagery

Soil to mankind is a basic natural resource. Soil is a blend of solid, liquid and gaseous substances, shapes the top most layer of the Earth‟s crust. The saline soil are the „salt affected soils‟ generally found in arid and semi – arid regions. These soils are generally found in „low precipitation area‟ where precipitation and evaporation ratio is less than 10.75[5]. This paper manages soil electrical conductivity estimation utilizing Sentinel -1 SAR imagery.. The support vector regression (SVR) technique, with RBF kernel function, was utilized to relate illustrative factors to ground estimated saltiness. We additionally applied K-Fold method for upgrading the model.. General Terms Regression, Algorithm