Sliding Behavior Monitoring of a Deep Seated Landslide with Differential Interferometric Synthetic Aperture Radar, MEMS Tiltmeter and Unmanned Vehicle Images

Landslide is a common issue in Taiwan with more than 70% area of this island is mountainous land. Typhoons and earthquakes attack Taiwan every year even by month. People lost their lives, properties and wounded when landslides happened during typhoons, heavy rainfall and earthquake. Landslide hazard mitigation is very important in hazard prevention chain. Two deep-seated landslides selected for monitoring in this research. A visual approach calls red relief image is applied in the beginning to search scars, geological structure on the ground surface. Synthetic aperture radar images acquired by JAXA (Japan) are used in this research to monitor landslide displacement in large area. The electromagnetic waves from temporal images can use to derive differential between time period. Thus the displacement can be coverted from phase differences. Mems monitoring stations are set up after differential interferometric results. The memes sensors are cost effective to monitoring landslide tilt behavior 24 hours. Moreover, unmanned vehicle system is adopted in this research to see optical differences on ground surface. The results show good coincidence with each other monitoring methods.