Damage mapping after the 2017 Puebla Earthquake in Mexico using high-resolution Alos2 Palsar2 data

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Date Issued
2018-07
Publisher Version
10.1109/igarss.2018.8517933
Author(s)
Adriano, Bruno
Koshimura, Shunichi
Karimzadeh, Sadra
Matsuoka, Masashi
Koch, Magaly
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Permanent Link
https://hdl.handle.net/2144/40349
Version
Accepted manuscript
Citation (published version)
Bruno Adriano, Shunichi Koshimura, Sadra Karimzadeh, Masashi Matsuoka, Magaly Koch. 2018. "Damage Mapping After the 2017 Puebla Earthquake in Mexico Using High-Resolution Alos2 Palsar2 Data." IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. 2018-07-22 - 2018-07-27. https://doi.org/10.1109/igarss.2018.8517933
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.
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