Douaoui et al. introduced the salinity index which corresponds to exogenous information derived from remotesensing data, it is possible to establish salinity map with greater accuracy than by use of ordinary kriging or remotesensing data alone. Two different GIS-based approaches are described by Coxwin et al. (1996) for the prediction ofareal distribution of salinity at a basin scale. The first approach couples a regression model of salinity developmentto a GIS soil salinity development factors. The second approach coupled the one dimensional transient-state solutetransport model to the GIS. With the increasing capability of GIS the integration of thematic layers could besystematically performed. The results to be obtained can be used to plan for salt reclamation and to allocate thebudget to the affected areas. The objective of this study is to map the soil salinity potential in the NortheasternThailand with the integration of the thematic layers concerned using GIS.
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