Automated Building Damage Classification using Remotely Sensed Data: Case study: Hurricane Damage on St. Maarten

In the second half of the 20th and beginning of the 21st century the amount of natural disasters has increased rapidly. Due to this rise in occurrences, more people are affected. An important indicator for people affected is the amount of damage to buildings. To gather this information aid workers now have to go into the field to gather data on...