Structural disaster damage detection and characterization is one of the oldest remote
sensing challenges, and the utility of virtually every type of active and passive sensor …

This review describes the mechanisms of lahars and debris flows, and their impacts on
buildings, infrastructure and other valuables. Lahars are a type of debris flow restricted to …

Oblique aerial images offer views of both building roofs and façades, and thus have been
recognized as a potential source to detect severe building damages caused by destructive …

Unmanned aerial systems (UASs) have become of considerable private and commercial
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …

Disaster risk management, and post-disaster recovery (PDR) in particular, become
increasingly important to assure resilient development. Yet, PDR is the most poorly …

Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral map**: high …

Oblique photogrammetry with multiple cameras onboard unmanned aerial vehicle (UAV)
has been widely applied in the construction of photorealistic three-dimensional (3-D) urban …

Remote sensing images have long been preferred to perform building damage
assessments. The recently proposed methods to extract damaged regions from remote …

Rapid increase in population and growing concentration of capital in urban areas has
escalated both the severity and longer-term impact of natural disasters. As a result, Disaster …

This article presents a method for detecting damaged buildings in the event of an
earthquake using machine learning models and aerial photographs. We initially created …