On January 7, 2025, an Ms 6.8 earthquake struck Dingri, Xizang, causing heavy casualties. The affected area has an average altitude of over 4000 meters, posing substantial challenges for field investigations and seismic research. This study aims to comprehensively characterize the earthquake’s seismogenic mechanism, building-damage characteristics, and spatial distribution of secondary hazards. The potential of domestically developed high-resolution satellite data for earthquake emergency monitoring is also evaluated.Using multitemporal and multisource domestic remote sensing data, this study applied deep-learning methods to rapidly identify and assess damaged buildings. Coseismic deformation fields were derived from land-exploration satellite data to analyze seismogenic structures and source mechanisms. Gaofen-series satellite images were used to map the surface rupture zone and earthquake-induced secondary geological hazards. Furthermore, deformation-field data were integrated to analyze the spatial distribution of secondary landslide hazard chains.Earthquake-induced secondary geological hazards were concentrated mainly in seismic-intensity zones VI and VII, and their spatial density increased with seismic intensity. The earthquake resulted from normal faulting; maximum coseismic surface deformation exceeded 2 meters, and maximum fault displacement reached 6 meters. A discontinuous, nearly north-south-trending surface rupture zone extended along the eastern bank of Dengmocuo fault, with an interpreted length of approximately 10 km and a maximum width of 300 m. Changsuo Township sustained the most severe building damage, with a damage rate exceeding 75%. Damaged buildings were concentrated along the northwestern hanging wall of the Demacuo fault.This study systematically characterizes the mechanisms and spatial distribution of damage caused by the Dingri earthquake. The results provide baseline data for in-depth analyses of its seismogenic mechanism and disaster characteristics, as well as for subsequent risk assessment. They also demonstrate the utility of high-resolution data from multiple domestic satellites for rapid emergency monitoring of earthquake disasters.