Ground deformation is one of the crucial issues threatening many cities in both societal
and economic aspects. Interferometric synthetic aperture radar (InSAR) has been widely used for
deformation monitoring. Recently, there has been an increasing availability of massive archives
of SAR images from various satellites or sensors. This paper introduces Multi-Satellite SBAS that
exploits complementary information from different SAR data to generate integrated long-term ground
displacement time series. The proposed method is employed to create the vertical displacement maps
of Almokattam City in Egypt from 2000 to 2020. The experimental results are promising using ERS,
ENVISAT ASAR, and Sentinel-1A displacement integration. There is a remarkable deformation in
the vertical direction along the west area while the mean deformation velocity is −2.32 mm/year.
Cross-validation confirms that the root mean square error (RMSE) did not exceed 2.8 mm/year.
In addition, the research findings are comparable to those of the previous research in the study
area. Consequently, the proposed integration method has great potential to generate displacement
time series based on multi-satellite SAR data; however, it still requires further evaluation using
field measurements.