InSAR-Based Monitoring and Analysis of Land Subsidence

Land subsidence is a widespread geohazard that can cause serious damage to infrastructure, buildings, agricultural land, and water-related systems. InSAR enables large-scale and long-term deformation monitoring, but its reliability can be reduced in low-coherence areas, especially agricultural regions affected by vegetation, irrigation, and cultivation. This project aims to monitor and analyze land subsidence using InSAR observations, with a focus on improving the reliability of deformation measurements and understanding their spatial and temporal patterns. Different SAR datasets, processing strategies, and time-series analysis methods are investigated to support more accurate and robust monitoring of land subsidence in different environments. Current results show that different InSAR processing approaches generally identify consistent large-scale subsidence patterns, while differences remain in spatial coverage and local deformation rates. The research helps improve confidence in InSAR-derived deformation measurements and provides more reliable information for understanding subsidence processes, assessing related risks, and supporting long-term land and water resource management.