DOI QR코드

DOI QR Code

수치표고모형 (DEM)을 이용한 침수재해 지도작성에 관한 연구

A Study on Making Map of Flood Using Digital Elevation Model (DEM)

  • Lim, Hyun Taek (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Kim, Jae Hwi (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Hak Beom (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Park, Sung Yong (National Disaster Management Research Institute, Ministry of Public Safety and Security) ;
  • Kim, Yong Seong (Department of Regional Infrastructure Engineering, Kangwon National University)
  • 투고 : 2017.02.23
  • 심사 : 2017.03.06
  • 발행 : 2017.03.31

초록

Recent floodplain data are important for river master plan, storm and flood damage reduction comprehensive plan and pre-disaster impact assessment. Hazard map, base of floodplain data, is being emphasized as important method of non-structural flood prevention and consist of inundation trace map, inundation expected map and hazard information map. Inundation trace map describes distribution of area that damaged from typhoons, heavy rain and tsunamis and includes identified flood level, flood depth and flood time from flooding area. However due to lack of these data by local government, which are foundational and supposed to be well prepared nationwide, having hard time for making inundation trace map or hazard information map. To overcome this problem, time consumption and budget reduction is required through various research. From this study, DEM (Digital Elevation Model) from image material from UAVS (Unmanned Aerial Vehicle System) and numeric geographic map from National Geographic Information Institute are used for calculating flooding damaged area and compared with inundation trace map. As results, inundation trace map DEM based on image material from UAVS had better accuracy than that used DEM based on numeric geographic map. And making hazard map could be easier and more accurate by utilizing image material from UAVS than before.

키워드

참고문헌

  1. Lambers, K., H. Eisenbeiss, M. Sauerbier, D. Kupferschmidt, T. Gaisecker, S. Sotoodeh, and T. Hanusch, 2007. Combining photogrammetry and laser scanning for the recording and modelling of the Late Intermediate Period site of Pinchango Alto, Palpa, Peru. Journal of Archaeological Science 34(10): 1702-1712. https://doi.org/10.1016/j.jas.2006.12.008
  2. Ministry of Public Safety and Security (MPSS), 2016. Guideline on Disaster Mapping (in Korean).
  3. Park, J. K. and J. H. Park, 2015. Reservoir Failure Monitoring and Identified by the UAV Aerial Images. Korean Review of Crisis & Emergency Management 11(10): 155-167 (in Korean).
  4. Puschel, H., M. Sauerbier, and H. Eisenbeiss, 2008. A 3D model of Castle Landenberg (CH) from combined photogrammetric processing of terrestrial and UAV-based images. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 37: 93-98.
  5. Tahar, K. N., A. Ahmad, W. A. A. Wan Mohd Akib, and W. S. Udin, 2011. Unmanned aerial vehicle technology for large scale mapping. International Symposium & Exhibition on Geoinformation (ISG): 27-29.
  6. Kim, D. I., Y. S. Song, G. H. Kim, and C. W. Kim, 2014. A Study on the Application of UAV for Korean Land Monitoring. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 32(1): 29-38 (in Korean). https://doi.org/10.7848/ksgpc.2014.32.1.29
  7. Kim, S. G., I. H. Song, and Y. H. Cho, 2005. Cartography of Disaster Using GIS, Cartography of Disaster Using GIS. Journal of the Korean Cadastre Information Association 7(2): 13-24 (in Korean).
  8. Korea Cadastral Survey Corp, 2006. Anseong-si Flooded Trace Survey Report (in Korean).
  9. Korea Cadastral Survey Corp, 2008. Anseong-si Flooded Trace Survey Report (in Korean).
  10. Lim, H. T., S. W. Ahn, J. S. Kim, S. Y. Park, and Y. S. Kim, 2016. A Study on the Application of Unmanned Aerial Vehicle for Improvement Method of the Making Inundation Trace Map. Journal of Korean Society of Hazard Mitigation 16(2): 223-231 (in Korean). https://doi.org/10.9798/KOSHAM.2016.16.2.223