Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR Li, Huijun ; Zhu, Lin ; Dai, Zhenxue ; Gong, Huili ; Guo, Tao ; Guo, Gaoxuan ; Wang, Jingbo ; Teatini, Pietro Abstract Publication: Science of the Total Environment Pub Date: December 2021 DOI: 10.1016/j.scitotenv.2021.149244 Bibcode: 2021ScTEn.79949244L