In the aftermath of natural disasters an assessment of the impact and damage in the affected area is crucial to enable coordination of response and recovery. While the disaster preparedness and response activations by the Humanitarian OpenStreetMap Team in regard to infrastructure mapping have already proven great potential in various disaster events, due to a lack of accessibility of post-disaster imagery, the available image quality and the general complexity of precise damage mapping using remote sensing, damage assessment using crowdsourcing methods still poses a serious challenge.
The Stanford Urban Resilience Initiative (SURI), the World Bank’s Global Facility for Disaster Reduction and Recovery (GFDRR), the Humanitarian OpenStreetMap Team, the University of Colorado, Boulder and the GIScience Research Group currently work on a project to address this limitation.
You can support this project by participating in this damage survey where you will be shown pairs of images and asked to indicate which of the two images shows a higher level of damage.
Click 'Start Contributing Now!' to begin!