Radar Interferometry (InSAR) (3)

InSAR paragraph...

 

Satellite-Derived Seasonal Displacement and Soil Moisture Reveal Landslide Activity (2026)

In this study, we combined satellite radar interferometry with satellite-derived soil moisture data to investigate two slow-moving landslides in different geological settings. The results show contrasting relationships between surface displacement and soil moisture. In sedimentary rocks, seasonal displacement is negatively correlated with soil moisture and is interpreted to be dominated by hydrological loading associated with water storage. In metamorphic rocks, the positive correlation suggests that increased pore-water pressure plays a more important role. The study demonstrates that integrating satellite displacement and soil moisture observations can help distinguish regular seasonal fluctuations from abnormal acceleration, improving the interpretation and early warning of slow-moving landslides.

本研究結合衛星雷達干涉技術與衛星土壤含水量資料，分析兩處位於不同地質環境中的緩慢移動型山崩。結果顯示，沉積岩區的地表位移與土壤含水量呈負相關，可能主要受到水分儲存所產生的水文負載影響；變質岩區則呈正相關，顯示孔隙水壓增加可能是控制位移的重要因素。研究說明，整合衛星地表位移與土壤含水量資料，可補充山區地面水文監測的不足，並協助區分正常的季節性波動與異常加速位移，提升緩慢移動型山崩監測與預警的判讀能力。

Tracking Slow Landslide Movements with Optimized MTInSAR Workflow (2023)

This study focuses on detecting and monitoring slow-moving landslides in Taiwan using a sophisticated radar technique. Identifying over 2500 pre-existing landslides is crucial for assessing their activity, especially before typhoon seasons. The proposed method, "multi-snap2stamps," effectively analyzes nine slow-moving landslides, revealing seasonal patterns in two sites and accelerated movement in one. The study showcases the potential of the method for large-scale landslide detection and monitoring. 

Monitoring Slow-moving Landslides Using Satellite Radar and Open-source Tools (2025)

We investigate a slow-moving landslide in southern Taiwan using satellite radar data. By applying a technique called Persistent Scatterer Interferometry (PSI), we can detect very small ground movements over time with millimeter-level precision. Using five years of satellite observations (2018–2023), we find that the slope is moving slowly—only a few millimeters per year in both horizontal and vertical directions. We confirm these results with field measurements. Our study shows that combining satellite monitoring with open-source tools provides an effective and low-cost way to track landslides, helping improve hazard assessment and early warning in mountainous areas.