In the aftermath of a disaster, knowing the condition of buildings, infrastructure, and utilities is critical to both immediate response and long-term recovery efforts. HOT is often asked to help identify damage to buildings and other assets in the affected region. In the past, limitations in post-disaster imagery and difficulties in identifying building damage from aerial views have hindered these efforts. In this research project, our particular focus is on improving how building damage information is gathered through crowdsourcing. We intend for the methods and tools we are developing to better facilitate the contributions of online volunteers, and to maximize the impact of those contributions to the disaster response and recovery process.
Jun, 28 2017 to Jun, 1 2018