Abstract: Objectives: Due to the characteristics of red-bed landslide, such as strong concealment, high suddenness and complex formation mechanism, it is difficult to accurately interpret the landslide by artificial ground survey or single remote sensing method. Methods: Taking Kualiangzi super-large red-bed rock landslide as an example, light detection and ranging （LiDAR）, optical remote sensing and Interferometric synthetic aperture radar（InSAR） comprehensive remote sensing technologies are used to accurately interpret the comprehensive four-dimensional characteristics of the three-dimensional spatial form of landslide signs, the horizontal direction of landslide and the spatiotemporal deformation evolution law in the line of sight direction. Results: LiDAR results have interpreted 33 landslide boundaries and cracks, 5 drums and 3 collapses. Multi-temporal optical image data were combined with high-resolution digital elevation model hillshade map to capture the deformation and displacement of typical feature points, and interpret the spatiotemporal evolution law of the study area in 53 years. The maximum horizontal displacement is 40 m, which is located in the middle of the landslide. The InSAR technique of small baseline subsets and interferometer Stacking shows that the central part of the landslide has been continuously uplifted in recent years, and the maximum uplifting rate is 55 mm/a. Conclusions: The research results can accurately interpret the fourdimensional characteristics of red-bed rock landslide, and provide guidance for the identification and prevention of landslide disasters in red-bed areas.