Abstract: AbstractBuilding collapse is a significant cause of earthquake‐related casualties; therefore, the rapid assessment of buildings damage is important for emergency management and rescue. Airborne light detection and ranging (LiDAR) can acquire point cloud data in combination with height values, which in turn provides detailed information on building damage. However, the most previous approaches have used optical images and LiDAR data, or pre‐ and post‐earthquake LiDAR data, to derive building damage information. This study applied surface n...
(read more)
Topics: 
Remote sensing