Demonstration of Time-Series InSAR Processing in Beijing Using a Small Stack of Gaofen-3 Differential Interferograms

Abstract EN

More and more synthetic aperture radar (SAR) satellites in orbit provide abundant data for remote sensing applications.

In August 2016, China launched a new Earth observation SAR satellite, Gaofen-3 (GF-3).

In this paper, we utilize a small stack of GF-3 differential interferograms to map land subsidence in Beijing (China) using the time-series SAR interferometry (InSAR) technique.

The small stack of differential interferograms is generated with 5 GF-3 SAR images from March 2017 to January 2018.

Orbit errors are carefully addressed and removed during differential InSAR (DInSAR) processing.

Truncated singular-value decomposition (TSVD) is applied to strengthen the robustness of deformation rate estimation.

To validate the results of GF-3 data, an additional deformation measurement using 26 Sentinel-1B images from March 2017 to February 2018 is carried out using the persistent scatterer interferometry (PSI) technique.

By implementing a cross-comparison, we find that the retrieved results from GF-3 images and Sentinel-1 images are spatially consistent.

The standard deviation of vertical deformation rate differences between two data stacks is 11.24 mm/y in the study area.

The results shown in this paper demonstrate the reasonable potential of GF-3 SAR images to monitor land subsidence.