Paper
5 May 2016 Damage extraction of buildings in the 2015 Gorkha, Nepal earthquake from high-resolution SAR data
Fumio Yamazaki, Rendy Bahri, Wen Liu, Tadashi Sasagawa
Author Affiliations +
Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III; 98772K (2016) https://doi.org/10.1117/12.2223306
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India
Abstract
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fumio Yamazaki, Rendy Bahri, Wen Liu, and 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); https://doi.org/10.1117/12.2223306
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Cited by 1 scholarly publication.
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KEYWORDS
Buildings

Synthetic aperture radar

Earthquakes

Backscatter

Satellites

Composites

Earth observing sensors

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