###### Abstract  
On 5 September 2022, an M\({}_{\rm S}\) 6.8 earthquake occurred in Luding county, Sichuan province, China, with the epicenter located approximately 20 km from the main peak of Mount (Mt.) Gongga. The dynamic situation of Mt. Gongga glaciers has received widespread attention. In this study, Mt. Gongga was selected as the study area, and L-band LuTan-1 (LT-1) satellite data were used for differential interferometric synthetic aperture radar (D-InSAR) processing to obtain the coseismic landform in Luding. Based on Sentinel-1A images, pixel offset tracking (POT) technology was used to obtain the surface movement velocities of the glaciers before, during, and after the earthquake. The results showed that the overall preseismic movement of the glaciers was fast in the area where the ice cascade of the Hailuogou Glacier reached a maximum average deformation rate of 0.94 m/d. Moreover, time-series monitoring of the postseismic glaciers showed that the surface flow velocities of some glaciers in the study area increased after the earthquake. The flow velocity at the main peak of Mt. Gongga and the tongue of the Mozigou Glacier accelerated for a period after the earthquake. The study concluded that the earthquake was one of the direct causes of the increase in glacier flow velocity, which returned to a stable state more than 70 days after the earthquake. The relevant monitoring results and research data can provide a reference for earthquake-triggered glacial hazards and indicate the effectiveness of LT-1 in identifying and monitoring geological hazards.  
Luding earthquake; Mount Gongga; glacier; LuTan-1; pixel offset tracking 2023153882[[https://doi.org/10.3390/rs15](https://doi.org/10.3390/rs15)]([https://doi.org/10.3390/rs15](https://doi.org/10.3390/rs15))  
glaciers of Mt. Gongga has received wide attention. At present, the technical approaches for glacier dynamic monitoring are mainly based on optical and radar remote sensing image interpretation and analysis. Optical images have the advantages of wide coverage and many data sources and are less influenced by topography [6]. However, in the cloudy area of southeastern Tibet, China, it is difficult to accurately quantify the glacier motion field from optical images. In contrast, radar remote sensing has outstanding technical advantages, such as high spatial resolution, independence from climatic conditions, and highly accurate surface deformation extraction, which can effectively compensate for the deficiencies of optical remote sensing. As early as 2002, [PERSON] et al. demonstrated the feasibility of the pixel offset tracking (POT) algorithm in a study of glacier motion extraction based on intensity tracking and coherence tracking to estimate the motion of glacier surfaces in the range and azimuth directions with two synthetic aperture radar (SAR) images, and then other scholars adopted the POT method to extract glacier flow velocity [7]. In recent years, satellite SAR remote sensing has shown excellent application prospects for the monitoring of large-scale deformation (including glacier motion) and surface cover changes and has gradually become an important technical approach for the study of the cryosphere and related fields [8; 9; 10; 11].  
In this paper, the Mt. Gongga glaciers were selected as the research objects, and LuTan-1 (LI-1) and Sentinel-1A satellite SAR images acquired before and after the earthquake were used as the data source. Through differential interferometric SAR (D-InSAR), POT, POT stacking, and POT-SBAS, the motion velocity changes in the Mt. Gongga glaciers before and after the earthquake were analyzed. The evolution of glacier movement at different temporal and spatial scales was identified, and near real-time monitoring and time-series evolution analysis were performed for key deformation areas to provide a reference for the risk assessment of secondary glacial debris flows, landslides, and other disasters caused by the Luding earthquake.