The level of destruction caused by an earthquake depends on a variety of factors, such as
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …

A prompt and overall understanding of building damages following a disaster is critical, as
they are closely related to casualties. As an important active remote sensing technology …

This work presents a detailed analysis of building damage recognition, employing multi-
source data fusion and ensemble learning algorithms for rapid damage mapping tasks. A …

Tsunamis are rare events compared with the other natural disasters, but once it happens, it
can be extremely devastating to the coastal communities. Extensive inland penetration of …

With the remarkable progress in access to remote sensing imagery data, nowadays
research very often utilizes more than one image. We are often able to use multitemporal …

Damage identification soon after a large-magnitude earthquake is a major problem for early
disaster response activities. The faster the damaged areas are identified, the higher the …

Assessing the extent and level of building damages is crucial to support post-earthquake
rescue and relief activities. There is a large body of literature proposing novel frameworks for …

Land cover classification of built-up and bare land areas in arid or semi-arid regions from
multi-spectral optical images is not simple, due to the similarity of the spectral characteristics …

Change detection between images is a procedure used in many applications of remote
sensing data. Among these applications, the identification of damaged infrastructures in …

Disaster damage assessment is an important basis for the objective assessment of the
social impacts of disasters and for the planning of recovery and reconstruction. It is also an …