<p>A large-scale landslide occurred at Xiuluan Village, Jianshi Township, Hsinchu County, Taiwan on September 13, 2021, causing large amounts of soil and sand to block a river channel and form a dammed lake. To evaluate terrain changes after the landslide, this study utilized unmanned aerial vehicles (UAVs) for photogrammetric surveys and the light detection and ranging (LiDAR) system at fourteen distinct time points (from January 15, 2020 to November 17, 2023). This study offers a detail time-series analysis of the study area, setting it apart from many existing studies that only provide UAVs survey results at a single time point. Our study includes high-resolution spatial data from both before and after the landslide, enabling a more precise description of its evolution. By applying the DEM of Difference (DoD) method, the quantified volumetric changes can be determined dynamically rather than relying on static comparisons. Since we obtained digital elevation data just one month before the landslide, the elevation changes and volumetric analysis presented. To monitoring the environmental changes in the study area and to comprehensively analyze the type of landslide and the mechanism of its occurrence. In conclusion, using UAVs with LiDAR to regularly monitor changes in the landslide area can visualize the monitoring results and rapidly and accurately calculate the results of terrain changes, providing competent authorities with a key reference for disaster evacuation.</p>

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Using unmanned aerial vehicle monitoring for the landslide and dammed lake: a case study of the Xiuluan area in Taiwan

  • Che-Hsin Liu,
  • Jui-Yi Ho,
  • Horn-Ru Liao,
  • Shih-Chiang Lee,
  • Naoki Sakai,
  • Chen-Yu Chen,
  • Chih-Hsin Chang

摘要

A large-scale landslide occurred at Xiuluan Village, Jianshi Township, Hsinchu County, Taiwan on September 13, 2021, causing large amounts of soil and sand to block a river channel and form a dammed lake. To evaluate terrain changes after the landslide, this study utilized unmanned aerial vehicles (UAVs) for photogrammetric surveys and the light detection and ranging (LiDAR) system at fourteen distinct time points (from January 15, 2020 to November 17, 2023). This study offers a detail time-series analysis of the study area, setting it apart from many existing studies that only provide UAVs survey results at a single time point. Our study includes high-resolution spatial data from both before and after the landslide, enabling a more precise description of its evolution. By applying the DEM of Difference (DoD) method, the quantified volumetric changes can be determined dynamically rather than relying on static comparisons. Since we obtained digital elevation data just one month before the landslide, the elevation changes and volumetric analysis presented. To monitoring the environmental changes in the study area and to comprehensively analyze the type of landslide and the mechanism of its occurrence. In conclusion, using UAVs with LiDAR to regularly monitor changes in the landslide area can visualize the monitoring results and rapidly and accurately calculate the results of terrain changes, providing competent authorities with a key reference for disaster evacuation.