DOI QR코드

DOI QR Code

Study on the Terrestrial LiDAR Topographic Data Construction for Mountainous Disaster Hazard Analysis

산지재해 위험성 분석을 위한 지상 LiDAR 지형자료 구축에 관한 연구

  • Jun, Kye Won (Department of Graduate School of Disaster Prevention, Kangwon National University) ;
  • Oh, Chae Yeon (Department of Disaster Prevention & Safety Engineering, Kangwon National University)
  • 전계원 (강원대학교 방재전문대학원) ;
  • 오채연 (강원대학교 방재안전공학전공)
  • Received : 2015.11.24
  • Accepted : 2016.01.27
  • Published : 2016.02.29

Abstract

Mountainous disasters such as landslides and debris flow are difficult to forecast. Debris flow in particular often flows along the valley until it reaches the road or residential area, causing casualties and huge damages. In this study, the researchers selected Seoraksan National Park area located at Inje County (Inje-gun), Gangwon Province-where many mountainous disasters occur due to localized torrential downpours-for the damage reduction and cause analysis of the area experiencing frequent mountainous disasters every year. Then, the researchers conducted the field study and constructed geospatial information data by GIS method to analyze the characteristics of the disaster-occurring area. Also, to extract more precise geographic parameters, the researchers scanned debris flow triggering area through terrestrial LiDAR and constructed 3D geographical data. LiDAR geographical data was then compared with the existing numerical map to evaluate its precision and made the comparative analysis with the geographic data before and after the disaster occurrence. In the future, it will be utilized as basic data for risk analysis of mountainous disaster or disaster reduction measures through a fine-grid topographical map.

Keywords

References

  1. G. J. Wie, E. Y. Kim, I. G. Kang, C. W. Kim, "A Development of lidar data Filtering for Contour Generation", Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 27, No. 4, pp. 469-476, 2009.
  2. M. H. Tangestani, "Landslide Susceptibility Mapping using the Fuzzy Gamma Approach in a GIS, Kakan Catchment Area, Southwest Iran", Australian Journal of Earth Science, Vol. 51, No. 3, pp. 439-450, 2004. https://doi.org/10.1111/j.1400-0952.2004.01068.x
  3. K. W. Jun, B. H. Jun, K. K. Ahn, D. C. Jang, N. G. Kim, "A Study on Estimation of Amount of Debris-Flow using Terrestrial LiDAR", Journal of the Korean Geoenvironmental Society, Vol. 11, No. 3, pp. 63-68, 2010.
  4. S. J. Kim, J. C. Lee, J. S. Kim, T. H. Roh, "A Comparative Analysis of Landslide Susceptibility Using Airborne LiDAR and Digital Map", Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 32, No. 4-1, pp. 281-292, 2014. https://doi.org/10.7848/ksgpc.2014.32.4-1.281
  5. B. H. Jun, K. W. Jun, S. C. Lee, "Analysis of the Erosion/Deposition in Debris Flow Using Terrestrial LiDAR Data", Korean Review of Crisis & Emergency Management, Vol. 10, No. 3, pp. 61-71, 2014.
  6. C. Y. Oh, K. W. Jun, "Risk Analysis of Debris Flow Using a Probability Based Method in GIS - Inje, Gangwon-do, Korea-", Korean Review of Crisis & Emergency Management, Vol. 10, No. 1, pp. 197-209, 2014.
  7. Korea Forest Service, "Landslide Risk Management System", http://sansatai.forest.go.kr.
  8. National Institute of Forest Science, "Right to Know a Landslide for the Public Safety and Land Conservation", Research Data, No. 584, pp. 62, 2014.
  9. K. H. Kim, "Spatial Analysis-GIS Serise (2)", Munundang, pp. 227-228, 2010.

Cited by

  1. Investigation on the Positioning of Open-type Debris Flow Check Dam considering Hydraulic Parameters vol.18, pp.5, 2018, https://doi.org/10.9798/KOSHAM.2018.18.5.97