Land deformation monitoring using coherent target-neighbourhood networking method combined with polarimetric information: a case study of Shanghai, China

Abstract

In this article, an advanced approach for land deformation monitoring using synthetic aperture radar (SAR) interferometry combined with polarimetric information is presented. The linear and nonlinear components of the deformation, the error of the digital elevation model (DEM) and the atmospheric artefacts can be achieved by a coherent target (CT)-neighbourhood networking approach. In order to detect recent land deformation in Shanghai, China, 12 ENVISAT advanced synthetic aperture radar (ASAR) alternating polarization images acquired from January 2006 to August 2008 are employed for deformation analysis. Over a 2.5-year period, two deformation velocity fields from HH and VV modes over Shanghai are derived using the CT-neighbourhood networking SAR interferometry (InSAR), then integrated into a final deformation map by a fusion scheme. It is found that the annual subsidence rates in the study area range from −20 to 10 mm year⁻¹ and the average subsidence rate in the downtown area reaches −7.5 mm year⁻¹, which is consistent with the local government statistics published in 2007.

Acknowledgements

This study is supported by the funding from the Research Grants Council of HKSAR, China (450210) and Direct Grant of the Chinese University of Hong Kong (2021029). We are also grateful for the anonymous reviews for their constructive comments to improve this article.