Damage mapping after the 2017 Puebla Earthquake in Mexico using high-resolution Alos2 Palsar2 data
Files
Accepted manuscript
Date
2018-07
Authors
Adriano, Bruno
Koshimura, Shunichi
Karimzadeh, Sadra
Matsuoka, Masashi
Koch, Magaly
Version
Accepted manuscript
OA Version
Citation
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.