A New Method for Continuous Track Monitoring in Regions of Differential Land Subsidence Rate Using the Integration of PS-InSAR and SBAS-InSAR

It is difficult for single time-series Interferometric Synthetic Aperture Radar (InSAR) processing to guarantee the accuracy and efficiency of continuous track monitoring in regions differential subsidence. This paper proposes a new method, integrating Persistent Scatterer InSAR (PS-InSAR) with high precision Small Baseline Subset (SBAS-InSAR) land subsidence rates. Based on PS-InSAR processing, Iterative Self-Organizing Data Analysis Techniques (ISODATA) algorithm adopted search boundary between slow fast The SBAS-InSAR frequency used continuously monitor rates incorporating original data newly added into small sets from time according SAR updating, results which are obtained weighted average processing. impact updating rate region so weak that it not necessary simultaneously update corresponding improve global efficiency. If must be remeasured relation its previous subsidence, or proportion capacity alters compared set, analyze whole again using complete set. A case study performed west Qinhuai River Nanjing, China, indicates density points fast-subsidence greatly improved, increasing 711 points/km2 2760 points/km2—an increase 288.2%.