The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-3/W1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3/W1-2020, 81–86, 2020
https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-81-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3/W1-2020, 81–86, 2020
https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-81-2020

  18 Nov 2020

18 Nov 2020

RISK ASSESSMENT OF STEEP SLOPE USING DRONE MAPPING AND TERRESTRIAL LIDAR IN KOREA

S. S. Kim, D. Y. Kim, and H. Nho S. S. Kim et al.
  • National Disaster Management research Institute, 365 Jongga-ro, Jung-gu, Ulsan, 44538, Rep. of Korea

Keywords: Steep slope, Risk assessment, Drone mapping, Terrestrial LiDAR

Abstract. Due to abnormal weather caused by climate change in recently years, natural disaster damages caused by local torrential rains have been increased over the world. Particularly, Korea is very vulnerable to landslide disasters because more than 63% of the country is mountainous and it suffers from unpredictable localized heavy rainfall during monsoon season every year. This paper presents experimental results for risk assessment of steep slope using drone mapping and terrestrial LiDAR survey. First, we acquired the aerial imagery of steep slope site by small UAV and conducted a drone mapping process with the Pix4D software. For collecting the more detailed geological data and analysing quantitatively damage of steep slopes (crack length, bedrock weathering area, etc.), we scanned steep slope area using terrestrial LiDAR system. Finally, we evaluated the applicability of public safety for outputs of UAV photogrammetry and 3D point clouds derived from terrestrial LiDAR data to analyse and assess the risk of steep slope.