5 May 2016 Damage extraction of buildings in the 2015 Gorkha, Nepal earthquake from high-resolution SAR data
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Satellite remote sensing is recognized as one of the effective tools for detecting and monitoring affected areas due to natural disasters. Since SAR sensors can capture images not only at daytime but also at nighttime and under cloud-cover conditions, they are especially useful at an emergency response period. In this study, multi-temporal high-resolution TerraSAR-X images were used for damage inspection of the Kathmandu area, which was severely affected by the April 25, 2015 Gorkha Earthquake. The SAR images obtained before and after the earthquake were utilized for calculating the difference and correlation coefficient of backscatter. The affected areas were identified by high values of the absolute difference and low values of the correlation coefficient. The post-event high-resolution optical satellite images were employed as ground truth data to verify our results. Although it was difficult to estimate the damage levels for individual buildings, the high resolution SAR images could illustrate their capability in detecting collapsed buildings at emergency response times.
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Fumio Yamazaki, Fumio Yamazaki, Rendy Bahri, Rendy Bahri, Wen Liu, Wen Liu, Tadashi Sasagawa, Tadashi Sasagawa, "Damage extraction of buildings in the 2015 Gorkha, Nepal earthquake from high-resolution SAR data", Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 98772K (5 May 2016); doi: 10.1117/12.2223306; https://doi.org/10.1117/12.2223306


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