  Disaster monitoring is challenging due to the lake of infrastructures in
monitoring areas. Based on the theory of Game-With-A-Purpose (GWAP), this paper
contributes to a novel large-scale crowdsourcing disaster monitoring system.
The system analyzes tagged satellite pictures from anonymous players, and then
reports aggregated and evaluated monitoring results to its stakeholders. An
algorithm based on directed graph centralities is presented to address the core
issues of malicious user detection and disaster level calculation. Our method
can be easily applied in other human computation systems. In the end, some
issues with possible solutions are discussed for our future work.
