This lecture post-disaster damage assessment with image data; challenges of damage assessment; damage mapping with remote sensing has history; remote sensing data of any kind of sensor-platform combination can be used; damage detection with point clouds.
This lecture pesents some problem: Image-based damage mapping; Limits of vertical imagery and prospect of oblique data; Prospect of crowdsourcing; Lack of coordination and user needs understanding; What comes after a disaster – tracking recovery; Linking recovery and resilience.
