Estimating Landslide-Volume Using LiDAR Differential for Monitoring Cooseismic Deformation Induced By MW 7.0 Earthquake Near Hinagu Fault Zone, Japan
Paper ID : 1045-SMPR
Authors:
Sarina Adeli *, Salar Zakeri, Mehdi Akhoondzadeh
University of Tehran
Abstract:
New generation of high resolution (either in temporal or spatial resolution) remote sensing tools make a leap forward for monitoring, mitigating and preventing manmade and natural hazards, among them: earthquake. It can stimulate landslide among active fault zone. Which should be monitor in order to hinder further catastrophic disaster to happen. Airborne Light detection and Ranging (LiDAR) proves to be a pragmatic tool for monitoring surface deformation due to tremendous high point cloud density and repeatable ability. The ultimate goal of this study is to monitor coseismic deformation creep and after slip of January 2016 7.0 magnitude earthquake in Kumamoto Japan, using multi-temporal LiDAR dataset acquired in 16 January 2016 and 16 April 2016, respectively.
To this end, two different DEM with 5 meter resolution from the area of interest have been generated from bare-earth airborne LiDAR point clouds and their corresponding vertical and horizontal landslide activity have been acquired. The landslide analyses suggest above 3 meters surface landslide in the area. Overall landslide volume is calculated by subtraction of the pre-earthquake DTM from the post-earthquake DTM, and the connection between landslide area and its volume are further investigated. As such, the interpretation of particular morphometric parameters (surface roughness, residual topographic surface) and the statistical analysis of the temporal variations of such parameters allowed the reconstruction and tracking of the landslides triggered by earthquake. All in all, the results provide novel perception on the use of differentiate topography of airborne LiDAR in the monitoring of landslide mechanisms.
Keywords:
Earthquake, LIDAR Differential DEM, Multi-Temporal LiDAR, fault slip, surface rupture, differential topography, landslide
Status : Conditional Accept (Poster)