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Assessment of stability of natural rock slopes located above infrastructure corridors, such as railways, and highways is required in order to evaluate potential for failure, loss of infrastructure capacity, and threats to public safety. As these slopes are not engineered, natural failure processes dominate. These are difficult to assess as direct physical access is generally not possible, and monitoring data is rarely available. A variety of remote sensing techniques from several vantage points and platforms have been deployed to evaluate rock slope stability, including LiDAR, photogrammetry, and Gigapan photography, from terrestrial and a variety of airborne platforms. Techniques have been developed to utilize both single data acquisitions as well as time sequential data sets. Analysis of data sets from different sources has proven to be useful in order to reduce loss of data due to occlusion and to provide different data types which are useful for different applications. A number of case histories of large rock slopes in the mountainous areas of western Canada will be used to demonstrate the integration of engineering geology into the remote sensing analysis of the rock slopes. Research products include assessment of the rockmass characteristics, an assessment of block volume, analysis of slope deformation and failures leading to forecasting of potential future events, dependent on the failure mechanism. As the database of rock slope case histories continues to build, we are moving ever closer to a more detailed understanding of rock slope failure modes, precursor events, deformation thresholds and the effect of triggering events.