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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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Digital Elevation Model Differencing and Error Estimation from Multiple Sources: A Case Study from the Meiyuan Shan Landslide in Taiwan

TL;DR: It is suggested that sediment delivery rate decreased each year and was affected by heavy rainfall during each period for the Meiyuan Shan landslide area, and multi-period aerial photogrammetry and ALS can be effectively applied after the landslide disaster for monitoring the terrain changes of the downstream river channel and their potential impacts.
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Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data

TL;DR: In this article, a morphological reconstruction method was proposed to assess landslide morphology based on the dome-shaped topography of the volcanic edifice and the nature of its morphological evolution, and two large-scale landslides in the Tatun volcano group in northern Taiwan were targeted to more accurately characterize the landslide morphology through airborne lidar and UAS-derived digital terrain models and images.
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Dip-slope mapping of sedimentary terrain using polygon auto-tracing and airborne LiDAR topographic data

TL;DR: In this paper, a polygon auto-tracing method for generating dip-slope maps based on airborne Light Detection and Ranging (LiDAR) data and a customized spatial analysis toolset developed in Python is proposed.
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Paleohydrological changes in northeastern Taiwan over the past 2 ky inferred from biological proxies in the sediment record of a floodplain lake

TL;DR: A high-resolution 2-ky record of changes in sediment delivery to Dahu, a floodplain lake in northeastern Taiwan, that suggests changes in precipitation has been inferred from organic matter, pollen, and spores in a 12m sediment core and from the organic matter compositions of soil, catchment plants, and fluvial suspended sediment as discussed by the authors.
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Derivation of Strike and Dip in Sedimentary Terrain Using 3D Image Interpretation Based on Airborne LiDAR Data

TL;DR: Li et al. as mentioned in this paper used two types of 3D images which differ in imaging principles to further explore the finer details of sedimentary terrain, and proposed a geological mapping practice that improves efficiency and meets a high-precision mapping standard with up to 2 m resolution using airborne LiDAR data.