EGU23-5076
https://doi.org/10.5194/egusphere-egu23-5076
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Detecting and Monitoring the Activities of Multiple Slow-moving Landslide Areas by the Multitemporal Interferometric SAR (MTInSAR) Technique

Chiao-Yin Lu1, Yu-Chang Chan2, Jyr-Ching Hu3, Chun-Ying Chiu3, Chung-Ray Chu1, Chia-Han Tseng4, and Chih-Hsin Chang1
Chiao-Yin Lu et al.
  • 1Slopeland and Hydrology Division, National Science and Technology Center for Disaster Reduction (NCDR), Taipei 23143, Taiwan
  • 2Institute of Earth Sciences, Academia Sinica, Taipei 11529, Taiwan
  • 3Department of Geosciences, National Taiwan University, Taipei 10617, Taiwan
  • 4Department of Geology, Chinese Culture University, Taipei 11114, Taiwan

Slow-moving landslides can transform into catastrophic landslides at certain conditions. In recent decades, catastrophic landslides around the world have caused widespread damage to buildings and threatened human lives. Thus, the detection of surface displacement variation and the definition of precursory motion for extensive slow-moving landslides become a primary goal of current researches. This study dedicates to detect and monitor surface displacement of multiple slow-moving landslide areas in Taiwan by the multitemporal interferometric SAR (MTInSAR) technique. A new package was established to generate interferograms of multiple slow-moving landslide areas at the same time. Thus, the surface displacement information in large spatial coverage and a long period of time can be obtained efficiently. The landslide characteristics in space and time domain of those slow-moving landslides were investigated and analyzed. Especially, the significant acceleration movements of certain slow-moving landslides were observed and agreed with the in situ monitoring data. The results of this study provide important information of landslide hazard assessment and show the opportunity of detecting the landslide precursory motions by the MTInSAR technique in the future.

How to cite: Lu, C.-Y., Chan, Y.-C., Hu, J.-C., Chiu, C.-Y., Chu, C.-R., Tseng, C.-H., and Chang, C.-H.: Detecting and Monitoring the Activities of Multiple Slow-moving Landslide Areas by the Multitemporal Interferometric SAR (MTInSAR) Technique, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5076, https://doi.org/10.5194/egusphere-egu23-5076, 2023.