Abstract: In recent years, the distributed fiber optic sensing technology has become a new tool in the research area of geotechnical tests and measurements and played an increasingly important role in deformation monitoring of geo-structures, especially slopes. Based on this technology, a smart slope monitoring system is established, which enables the collection of temporal and spatial distribution characteristics of surface and subsurface strain fields within slopes. As the fiber optic monitoring data are exceedingly huge, it brings great difficulties to data processing and mining. A visualization system for strain fieldsis of slopes developed using MATLAB. Through software interface, this system allows the identification, denoising, prediction, analysis and visualization of massive fiber optic monitoring data and has various functions of slope stability diagnosis and warning. In the laboratory model tests, this system is successfully used to shows the strain fields within the slope model and to predict the thresholds related to the slope stability condition, which demonstrate the benefits of the system such as convenient, quick, efficient and orderly charalteristics. The proposed system is of great potential in the field monitoring of slopes and landslide warning.