Abstract
Landslide, debris flow, and debris flood are the most common geological hazards triggered by intense rainfall in Taiwan. Taiwan is a very densely populated high relief island, and therefore the landslides sometimes affect our transportation and energy infrastructures and populated areas. This study investigates the regional landslide activity and potential slope movement using high-resolution time-series RADARSAT-2 InSAR images. We focussed on the 2015 typhoon, which affected Wulai and Xindian Districts in northern Taiwan. InSAR techniques, such as D-InSAR and SBAS, were applied to detect slope deformation caused by shallow and deep-seated landslides. This study conducted field investigations, and used high-resolution DTMs, and 3D photographic UAV surveying to determine the landslide hotspots and geomorphologic changes. The validation results show the InSAR maps accurately identify slow-moving landslides with a surface displacement of about 2 cm/year and debris flows on the bed of a gully. The InSAR displacement map helps to recognize the possible deep-seated landslides not previously known using a DTM. The field validation of the InSAR results from the proposed approach confirmed that the detection of different types of slope-land hazards: shallow landslides, deep-seated landslides, debris flows, and sediment deposition. Furthermore, the result will contribute to updating the national-wide environmental geologic map and provide competent authority to make decisions reducing the geohazard risk.
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Acknowledgments
The authors sincerely thank Central Geological Survey, MOEA (Taiwan) for providing us access to the high-resolution shaded reliefs. The authors thank Canada Centre for Remote Sensing for conducting the InSAR analysis and Sinotech Engineering Consultants, Inc. for financial support on this study. We also acknowledge support from the Ministry of Science and Technology, Taiwan (Grant No. MOST 106-2420-H-004-015- 406MY3).
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Lee, CF., Singhroy, V., Lin, SY., Huang, WK., Li, J. (2021). Landslide Activity Assessment of a Subtropical Area by Integrating InSAR, Landslide Inventory, Airborne LiDAR, and UAV Investigations: A Case Study in Northern Taiwan. In: Singhroy, V. (eds) Advances in Remote Sensing for Infrastructure Monitoring. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-030-59109-0_5
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