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Abstract

The aim of this study is to diagnose the saline degradation of soil chemical properties , that is predicted by spectral indices which is derived from Landsat7 ETM+ DATA , where soil salinity , ESP% and SAR mapping , by multiregression analysis with generalized difference vegetation index (GDVI2) and salinity index (SI) , with high R2 significantly : 0.88 , 0.93 and 0.86 for each soil chemical properties respectively . Such saline degradation of soil classes scaling depends on correspond soil salinity value to ESP% and SAR value . The spatial analysis shows that Non degradation soils class (D0) reach to 5.55% from study area , salt affected soils class (D1) reach to 21.89% from the study area , sodium affects saline soils class (D2) reach to 44.47% from the study area and desert soils of saline class (D3) reaches to 28.09% from the study area .

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