Advancing GB-SAR with DPS-INSAR: An Integrated Approach to Long-Term Deformation Monitoring in Challenging Terrains

Le résumé fourni par la source

Traditionally, ground-based synthetic aperture radar (GB-SAR) deformation monitoring relies on permanent scatterer InSAR (PS-InSAR) to identify stable ground targets. However, PS-InSAR often struggles to obtain sufficient PS points in sloped areas with shallow vegetation or bare soil. Further-more, the high data acquisition frequency of GB-SAR imposes significant demands on device memory and processing time when handling complete datasets. To address these challenges, this study investigates the application of DPS-InSAR, a method that integrates the characteristics of the distributed scatterer (DS) and the permanent scatterer, in the monitoring of GB-SAR deformation. This paper further proposes a long-term deformation monitoring strategy for GB-SAR time series, aimed at enhancing both the number and density of monitoring points in bare soil and shallow vegetation areas while optimizing processing efficiency. Initially, this paper introduces the theoretical framework of the proposed strategy, followed by a comparative analysis of the monitoring performance of DPS-InSAR and PS-InSAR, using the Nanjing Baotashan mining area as a case study. The findings demonstrate that DPS-InSAR surpasses PS-InSAR in both spatial coverage and the ability to capture detailed deformation patterns.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.