Building damage assessment in the 2015 Gorkha, Nepal, Earthquake using only post-event dual polarization synthetic apertuRe radar imagery

Yanbing Bai, Bruno Adriano, Erick Mas, Shunichi Koshimura

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)

    Abstract

    This paper takes the 2015 Nepal earthquake as a case study to explore the use of post-event dual polarimetric synthetic aperture radar images for earthquake damage assessment. The radar scattering characteristics of damaged and undamaged urban areas were compared by using polarimetric features derived from PALSAR-2 and Sentinel-1 images, and the results showed that distinguishing between damaged and undamaged urban areas with a single polarimetric feature is challenging. A split-based image analysis, feature selection, and supervised classification were employed on a PALSAR-2 image. The texture features derived from the intensity of cross-polarization show higher correlations with the damage class. Additionally, feature selection revealed a positive influence on the overall performance. Employing 70% of the data for training and 30% data for testing, the support vector machine classifier achieved an accuracy of 80.5% compared with the reference data generated from the damage map that was provided by the United Nations Operational Satellite Applications Programme.

    Original languageEnglish
    Pages (from-to)S185-S195
    JournalEarthquake Spectra
    Volume33
    Issue numberSpecial issue 1
    DOIs
    Publication statusPublished - 2017 Dec

    ASJC Scopus subject areas

    • Geotechnical Engineering and Engineering Geology
    • Geophysics

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