Open AccessObject-Based Method for Estimating Tsunami-Induced Damage Using TerraSAR-X Data
Author(s) -
Hideomi Gokon,
Shunichi Koshimura,
M. Matsuoka
Publication year - 2016
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2016.p0225
Subject(s) - transferability , ground truth , synthetic aperture radar , remote sensing , correlation coefficient , function (biology) , radar , computer science , pearson product moment correlation coefficient , geology , homogeneous , environmental science , seismology , statistics , mathematics , artificial intelligence , machine learning , telecommunications , logit , combinatorics , evolutionary biology , biology
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.