A review on multi-temporal earthquake damage assessment using satellite images

Earthquakes are one of the most devastating natural disasters, causing serious and severe damage to human life and property. This chapter aims to provide a systematic and comprehensive review of satellite-based earthquake damage assessment using multi-temporal remote sensing images. Change detection methods compare remote sensing images acquired at different times to discover the changes in the land cover, but the images typically have different properties, such as different spatial resolution, type of sensors and the incidence angle. Filtering-based methods are very successful in extracting contextual information from an image by removing redundant spatial details and preserving the geometric characteristics of the objects in the region of interest. The chapter focuses on the general view of the use of synthetic aperture radar images for earthquake studies, including tectonics to damage-level identification. To identify an earthquake-induced damage level at the building scale, it is necessary to use a very high-resolution image.