Remote Sensing for Search and Rescue Operations: Two Methods Studying the 2020 Beirut Blast.

Remote sensing can provide vital information in the aftermath of a disaster, and can be used by search and rescue teams to strategically deploy resources. However, there is little work on methods which address their operational requirement. This paper presents two methods: the first aims to deploy fast, robust information that can evolve its output as information becomes available; the second focuses on providing an estimation of the degree of confidence for the outcomes of a classification performed by a graph convolutional network. These methods are tested by using data collected following the Beirut blast in 2020.