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Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster

Department of Architecture, Hiroshima University, Higashi-Hiroshima 739-8527, Japan
Remote Sens. 2019, 11(9), 1096; https://doi.org/10.3390/rs11091096
Received: 1 April 2019 / Revised: 26 April 2019 / Accepted: 4 May 2019 / Published: 8 May 2019
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Abstract

Rapid identification of affected areas and volumes in a large-scale debris flow disaster is important for early-stage recovery and debris management planning. This study introduces a methodology for fusion analysis of optical satellite images and digital elevation model (DEM) for simplified quantification of volumes in a debris flow event. The LiDAR data, the pre- and post-event Sentinel-2 images and the pre-event DEM in Hiroshima, Japan affected by the debris flow disaster on July 2018 are analyzed in this study. Erosion depth by the debris flows is empirically modeled from the pre- and post-event LiDAR-derived DEMs. Erosion areas are detected from the change detection of the satellite images and the DEM-based debris flow propagation analysis by providing predefined sources. The volumes and their pattern are estimated from the detected erosion areas by multiplying the empirical erosion depth. The result of the volume estimations show good agreement with the LiDAR-derived volumes. View Full-Text
Keywords: debris flow; volume; erosion depth; change detection; debris flow propagation analysis debris flow; volume; erosion depth; change detection; debris flow propagation analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Miura, H. Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster. Remote Sens. 2019, 11, 1096.

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