Abstract: Based on InSAR,high-precision,high spatial resolution,and continuous surface deformation information can be obtained.Urban ground subsidence and high-precision deformation information are of great significance for ensuring public safety.This article uses PS-InSAR and wide area surface deformation fast extraction algorithm to obtain spatiotemporal distribution information of surface deformation based on 1600 km² COSMO Skyed images in Wuhan from June 2012 to June 2024 and 32 177 km² Sentinel-1 images in Wuhan,Ezhou,Huanggang,and Huangshi from January 2018 to June 2024.The deformation accuracy is evaluated based on GNSS and leveling measurement data.The results show that the root mean square error of deformation rate in COSMO data ranged from 2.3～5.8 mm/a,while the root mean square error of deformation rate in Sentinel-1 data ranged from 2.99～6.29 mm/a.The root mean square error of COSMO temporal deformation is 4.96 mm,and the root mean square error of Sentinel-1 temporal deformation is 5.20 mm.At the same time,extract deformation information of important infrastructure areas such as subway lines,subway protected areas,large-span buildings,and foundation pits,and analyze the correlation between deformation and the start and end time of engineering sections,etc.Finally,using the logistic deformation prediction model,the surface subsidence of Wuhan,Ezhou,Huanggang,and Huangshi is predicted for the next two years,with one prediction per quarter for a total of eight periods.

Key words: InSAR, wide area, accuracy evaluation, infrastructure, forecast