Abstract：Based on sequential adjustment, we use progressive SBAS-InSAR to process the new images. Using the obtained results derived from SBAS-InSAR, only a small part of the existing images is combined with the newly acquired data to update corresponding time series deformation of all SAR images. Taking the surface deformation in Beijing plain from June 2019 to April 2020 as an example, the experimental results show that the mean and RSME of the surface deformation rate difference between the progressive and the traditional SBAS-InSAR are 0.01 mm/a and 0.1 mm/a, respectively. Moreover, the processing time of progressive SBAS-InSAR is just 1/5-1/2 times that of SBAS-InSAR.
LIU Yuanyuan,YAN Xia,XIA Yuanping et al. Monitoring and Analysis of Surface Deformation in Beijing Plain Using Progressive SBAS-InSAR[J]. jgg, 2023, 43(3): 239-245.
