 This study uses MT and SAR to acquire time series deformation for transmission lines in the Salt Lake area and applies k-shape clustering and field investigation results to select towers number 95 and number 151 for displacement prediction. The trigger factors of tower deformation are analyzed using VMD and the CNNLSTM model is optimized using GWO to predict total displacement with high accuracy. This methodology offers a novel perspective for monitoring and early warning of ground subsidence disasters and transmission networks. This article was authored by Bijing Jean, Tao Ruizeng, Tao Huiyang, and others.