Abstract: Objectives: On February 8, 2025, a high-positioned landslide occurred in Jinping Village，Junlian County, Yibin City, Sichuan Province. The landslide body transformed into debris flow during the movement, ultimately forming an extensive debris accumulation body that caused casualties, road damage and significant public concern across China. To address post-disaster emergency response demands and enable precise hazard assessment, airborne LiDAR technology was applied to rapidly characterize key geometric parameters of the landslide, including areal extent, perimeter, and volumetric changes. Methods: Postdisaster data acquisition occurred on February 10– 11, 2025, using a UAV equipped with a LiDAR system and oblique optical cameras. The acquisition yielded 30 points/m² density point cloud data and 0.05 m resolution optical imagery, from which a 0.1 m resolution digital elevation model (DEM), 0.05 m digital resolution orthophoto map (DOM), and 3D reality model were generated. Meanwhile, pre event data, including 1 m resolution satellite and 5 m resolution DEM were also acquired to facilitate comprehensive analysis. Leveraging these datasets, multi-perspective systematic identification and precise extraction of landslide geometric parameters were conducted. For landslide volume, resampling and registering the twophase DEMs followed by applying the DEM differencing algorithm were used. Results: The landslide covered an area of 180 028 m² with a perimeterof 2 562.8 m, measuring 908 m in length, with maximum/minimum widths of 296 m and 65 m respectively. The source volume was calculated at 35.1×10⁴ m³, and the accumulation volume is 57.5×10⁴ m³.Conclusions: The analysis provide high-precision data support for assessing disaster chain effects, optimizing emergency rescue route, and delineating risk prevention and control zones.