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The occurrence of slop instability on the roads and communication domains, especially in the mountainous areas, is one of the cases the causes a lot of damages on the roads of country،and sometimes in the areas in where the slop is very sharp or the roads are more curved  the occurrence of this type of natural hazards can cause death of passengers،therefore identification of the areas which because of their natural features are more dangerous and on the other hand they are chosen for construction projects such as roads ore dams ، ……، is really important .In this article the Logistic Regression  was used for identifing the dangerous areas. For the study of the image sensor on Landsat 8 oLI-TIRS were used and the effective Factors ، as ، instability slope (slope, aspect, lithology, land use, distance to fault, distance from the river, away from roads, elevation) in GIS environment survey and  the most important factors was known, then the distribution layer of instability was adjusted  to the hazard zonation map of slope instabilities in software Edrisi then  likelihood of slop  instability map was divided into five groups with very low sensitivity, low, medium, high, very high.