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Yu-Chung Hsieh

Researcher at Central Geological Survey, MOEA

Publications -  12
Citations -  169

Yu-Chung Hsieh is an academic researcher from Central Geological Survey, MOEA. The author has contributed to research in topics: Landslide & Lidar. The author has an hindex of 7, co-authored 9 publications receiving 132 citations. Previous affiliations of Yu-Chung Hsieh include Chinese Ministry of Economic Affairs & National Taiwan University.

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Direct Measurements of Bedrock Incision Rates on the Surface of a Large Dip-slope Landslide by Multi-Period Airborne Laser Scanning DEMs

TL;DR: The local gully incision rate in the lower part of the landslide surface was found to be remarkably faster than that of the other regions, suggesting that the fast incision of the toe area possibly contributes to the occurrence of repeated landslides in the Tsaoling area.
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Evaluation of Tectonic Activities Using LiDAR Topographic Data: The Nankan Lineament in Northern Taiwan

TL;DR: Li et al. as mentioned in this paper used high-resolution LiDAR images to re-examine the causes and tectonic activities of the Nankan lineament based on its morphological; features.
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Slip monitoring of a dip-slope and runout simulation by the discrete element method: a case study at the Huafan University campus in northern Taiwan

TL;DR: In this article, particle flow code 3D models based on a discrete element method are applied to understand the potential runout process of the dip-slope failure at the campus, and the simulation reveal a critical value of the friction coefficient to be 0.13 and that more than 90% of the campus buildings will slide down in 100 s when the friction coefficients are reduced to half the critical value.
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Preservation and transportation of large landslide deposits under decadal and millennial timescales in the Taiwan orogenic belt

TL;DR: In this article , the authors investigated eight large landslides at three locations in Taiwan and found that a substantial portion of large landslide deposits may persist in the hinterland over thousands of years, and such longterm preservation of landslide deposits would be important in the landscape evolution and the mass balance of active orogenic belts.
Posted ContentDOI

Deep-Seated Gravitational Slope Deformation and Slow-Moving Landslides Revealed by Multi-Period LiDAR and UAS Data in the Slate Belt of the Backbone Range, Central Taiwan

TL;DR: Li et al. as mentioned in this paper used existing high-resolution LiDAR topographic data and the latest computerized 3D environments to conduct and explore preliminary geological information at the regional scale and potential large-scale landslide distribution with detailed topographical characteristics.