 We propose an integrated neural network method for landslide susceptibility assessment, LSA, that combines temporal dynamic features from interferometry synthetic aperture radar, in SAR, deformation data, with spatial features of landslide influencing factors, resulting in improved accuracy and AUC compared to traditional methods. This article was authored by Yi He, Zhong Ao, Qing Xu, and others.