Routine and long-term monitoring of slope movements is essential to avoid landslide and, in the worst situation, possible casualties in road environments. In this context, effective methods are therefore required to detect early warning signs of failure mechanisms related to disaster. This work explores the use of emerging remote sensing technologies covering different scales and resolutions to obtain more reliable risk assessments of slopes. The main goal is to early detect potential areas at high risk for slope movements and failure, thus preventing catastrophic collapses. A brief overview of the benefits and limitations of each technique is presented, namely InSAR (Interferometric Synthetic Aperture Radar), UAV (Unmanned Aerial Vehicle) surveying, and mobile LiDAR (Light Detection and Ranging). For a better understanding, the different techniques and methodologies are shown through a real case study. The combination of this multi-scale, multi-resolution approach has been shown a more robust solution for hazard assessment. Further perspectives on the use of this technology applied to slope monitoring are also commented.