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.
|Title of host publication
|2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2018 Oct 31
|38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 2018 Jul 22 → 2018 Jul 27
|International Geoscience and Remote Sensing Symposium (IGARSS)
|38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
|18/7/22 → 18/7/27