Damage mapping after the 2017 Puebla earthquake in Mexico using high-resolution ALOS2 PALSAR2 data

Bruno Adriano, Shunichi Koshimura, Sadra Karimzadeh, Masashi Matsuoka, Magaly Koch

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    On September 19, 2017, the Mw7.1 Puebla Earthquake caused significant destruction in several cities in central Mexico. In this paper, two pre- and one post-event ALOS2-PALSAR2 data were used to detect the damaged area around Izucar de Matamoros town in Mexico. First, we identify the built-up areas using pre-event data. Second, we evaluate the earthquake-induced damage areas using an RGB color-coded image constructed from the pre- and co-event coherence images. Our analysis showed that the green and red bands display a great potential to discriminate the damaged areas.

    Original languageEnglish
    Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages870-873
    Number of pages4
    ISBN (Electronic)9781538671504
    DOIs
    Publication statusPublished - 2018 Oct 31
    Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
    Duration: 2018 Jul 222018 Jul 27

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
    Volume2018-July

    Conference

    Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
    CountrySpain
    CityValencia
    Period18/7/2218/7/27

    ASJC Scopus subject areas

    • Computer Science Applications
    • Earth and Planetary Sciences(all)

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