Object-Based Method for Estimating Tsunami-Induced Damage Using TerraSAR-X Data
Hideomi Gokon*, Shunichi Koshimura**, and Masashi Matsuoka***
*Institute of Industrial Science, The University of Tokyo
4-6-1-Be604, Komaba, Meguro-ku, Tokyo 153-8505, Japan
**International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
***Graduate School of Science and Technology, Tokyo Institute of Technology, Yokohama, Japan
The object-based method we developed to estimate building damage uses high-resolution synthetic aperture radar (TerraSAR-X) data from the 2011 Tohoku earthquake and tsunami. The damage function we developed involves the relationship between changes in the sigma nought values of pre- and postevent TerraSAR-X data and the damage ratio of washed-away buildings. We confirmed that the function performed as expected by estimating the number of washed-away buildings in homogeneous areas, agreeing well with ground truth data verified by a Pearson fs correlation coefficient of 0.99. The same damage function applied at another test site yielded a Pearson’s correlation coefficient of 0.98. These results are sufficient to ensure transferability. We then simplified and semiautomated these processes in an ArcGIS environment, estimating building damage in the city of Sendai within 26 minutes.
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