Abstract:[Objective] The characteristics of solid waste in mountain road waste disposal areas has caused various safety hazards, including landslide, debris flow, surface subsidence, and so on, posing risks to motorway and downstream regions. [Methods] In this study, Xuanqu Expressway ( 38#, 41# and 45# ) waste disposal areas were selected as the research object, and a real-time dynamic waste disposal areas landslide safety early warning and monitoring platform were constructed using modern monitoring technology and network communication technology. Integrated satellite remote sensing technology, unmanned aerial photogrammetry with ground sensors, this work analyzed the pattern of slope feature variation and surface deformation in the waste disposal area from 2015 to 2024 at multi-spatial and multi-temporal scale. In addition, the early warning of landslide risk was determined utilizing the evidence of cumulative deformation and deformation rate. [Results] ① The results indicated that the vegetation of the waste disposal areas within the disturbed area has gradually regained recovered, and the overall vegetation coverage of waste disposal areas in 38#, 41# and 45# has increased by an average of 50% from 2018 to 2024. ② The actual disturbed area of 38# and 41# waste disposal areas was only 0.04 beyond the designed disturbed area, while the disturbed range of 45# waste disposal area remained unchanged. Furthermore, the amount of slag and disturbed area, the maximum pile height, slope and slope ratio were in line with the stability requirements of landslides, indicating that the overall slopes of the waste disposal area maintain a stable state, and the possibility of landslide risk was low. ③ The total average deformation rate of each monitoring point shown that the cumulative deformation in the direction of 41#JCD3-elevation reached a maximum value of 1815.4 mm, which was in the critical interval of the cumulative deformation criterion of the attention level warning, and the landslide deformation exhibited a decreasing trend. The likelihood of the occurrence of landslide risk was reduced. [Conclusion] Based on the early warning judgment method, the landslide warning level of different waste disposal areas was I level, and when the cumulative amount of displacement reached the preset threshold that triggered the early warning system, verifying effectively the 'space-sky-earth' integration of intelligent monitoring performance. This study provides an essential reference for the monitoring, early warning, and control measures for the landslide risk of waste disposal areas.