Using Remote Sensing Techniques to Identify the Landslide Hazard Prone Sections along the South Link Railway in Taiwan

Abstract In this study, we demonstrate the capability of combining remote sensing and GIS technique to identify and map out the possible landslide and debris flow hazards along the South Link Railway in Taiwan. Using high resolution aerial photography, terrain models, landslide inventories, the disaster prone areas of 3 types of mass movements were identified. In total, 48 slopes hold high landslide susceptibility; 35 torrents have high debris flow susceptibility; the rockfall from 11 sites would reach the railway line. The result shows consistencies with hazard records and could provide vital information for railway line improvement, hazard prevention and mitigation purposes.

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