Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 85-88, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-85-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
22 Jun 2016
ANALYSIS OF DEBRIS FLOW BEHAVIOR USING AIRBORNE LIDAR AND IMAGE DATA
G. Kim, C. Y. Yune, J. Paik, and S. W. Lee Dept. of Civil Engineering, Gangneung-Wonju National University, 7 Jukheon-gil, Gangneung, South Korea
Keywords: Debris Flow, LiDAR, Digital Surface Model, Geomorphologic Change Abstract. The frequency of debris flow events caused by severe rainstorms has increased in Korea. LiDAR provides high-resolution topographical data that can represent the land surface more effectively than other methods. This study describes the analysis of geomorphologic changes using digital surface models derived from airborne LiDAR and aerial image data acquired before and after a debris flow event in the southern part of Seoul, South Korea in July 2011. During this event, 30 houses were buried, 116 houses were damaged, and 22 human casualties were reported. Longitudinal and cross-sectional profiles of the debris flow path reconstructed from digital surface models were used to analyze debris flow behaviors such as landslide initiation, transport, erosion, and deposition. LiDAR technology integrated with GIS is a very useful tool for understanding debris flow behavior.
Conference paper (PDF, 1308 KB)


Citation: Kim, G., Yune, C. Y., Paik, J., and Lee, S. W.: ANALYSIS OF DEBRIS FLOW BEHAVIOR USING AIRBORNE LIDAR AND IMAGE DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 85-88, https://doi.org/10.5194/isprs-archives-XLI-B8-85-2016, 2016.

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