Abstract: To effectively prevent and control the landslide disasters in the Maerkang area of Sichuan Province, aiming at the landslide disasters triggered by the Ms5.8, Ms6.0, and Ms5.2 earthquakes that occurred consecutively in Maerkang City on June 10, 2022, a database based on historical seismic data in Sichuan Province was established and the spatial distribution of landslides induced by this swarm was analyzed by FCNN model. Moreover, the main hydropower station basins within Maerkang were extracted to conduct landslide susceptibility analysis. The results showed that: ① 68.56% of the landslides fell into the very high and high susceptibility zones, and the prediction results were in line with those interpreted from the satellite images. ② The earthquake-induced landslide disasters were large in number, widely distributed, and uneven in scale, mainly concentrated in the north side of the Songgang Fracture Zone and the northwest side of the Longziba Fracture Zone, with terrain undulations of 36 to 107 m and slopes ranging from 16° to 48°. ③ Jiaomuzu River and Chabao River hydropower station basins were all highly developed landslide areas. The upstream of Panlong River hydropower station basin is a highly developed landslide area, and the downstream is in the medium-low susceptibility area. The landslides in the region are strongly controlled by hydraulic erosion and topographic changes. ④ Comparing the prediction results of FCNN model used in this study with the image interpretation and geological disaster field investigation data, it is verified that the model prediction accuracy is more than 75%. The research result is of great theoretical and practical significance for the monitoring, prevention and control of landslide disasters in the Maerkang area.