Within the framework of the project Enhancement of Earthquake and Tsunami Disaster Mitigation Technology in Peru (JST-JICA SATREPS), this study determines tsunami inundation mapping for the coastal area of Lima city, based on numerical modeling and two different tsunami seismic scenarios. Additionally, remote sensing data and geographic information system (GIS) analysis are incorporated in order to improve the accuracy of numerical modeling results. Moreover, tsunami impact is evaluated through application of a tsunami casualty index (TCI) using tsunami modeling results. Numerical results, in terms of maximum tsunami depth, show a maximum inundation height of 6 m and 15.8 m for a potential scenario (first source model) and for a past scenario (second source model), respectively. In terms of inundation area, the maximum extension is 1.3 km with a runup height of 5.3 m for the first scenar...

Change detection between images is a procedure used in many applications of remote sensing data. Among these applications, the identification of damaged infrastructures in urban areas due to a large-scale disaster is a task that is crucial for distributing relief, quantifying losses, and rescue purposes. A crucial consideration for change detection is that the images must be co-registered precisely to avoid errors resulting from misalignments. An essential consideration is that some large-magnitude earthquakes produce very complex distortions of the ground surface; therefore, a pair of images recorded before and after a particular earthquake cannot be co-registered accurately. In this study, we intend to identify changes between images that are not co-registered. The proposed procedure is based on the use of phase correlation, which shows different patterns in changed and non-changed are...