Objectives On February 8, 2025, a high-positioned landslide occurred in Jinping Village，Junlian County, Yibin City, Sichuan Province，China. 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 light detection and ranging (LiDAR) technology was applied to rapidly characterize key geometric parameters of the landslide, including areal extent, perimeter, and volumetric changes.

Methods Post-disaster data acquisition occurred on February 10-11, 2025, using a unmanned aerial vehicle 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 an 0.1 m resolution digital elevation model (DEM), 0.05 m digital 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 two-phase DEMs followed by applying the DEM differencing algorithm were used.

Results The landslide covered an area of about 1.8×10⁵ m² with a perimeter of 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 3.51×10⁵ m³, and the accumulation volume is 5.75×10⁵ 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.