Advances in Disaster Risk Sciences in Big Earth Data

Dear Colleagues,

With the prevalence of global warming, natural hazards have severely threatened—will continually and inevitably threaten—human lives and properties throughout the world. To accurately and rapidly quantify the risks from such intensified natural hazards, new methods related to three aspects: hazard, exposure and vulnerability analyses, are highly required. Fortunately, Big Data offers a good opportunity for discovering new knowledge and provides powerful tools to accurately quantify the integrated risks from natural hazards. Such multi-data come from all kinds of aerial and earth observations, simulation models (e.g., global climate models), social mediums, professional studies, etc. How to apply and what type to select are still a big challenge for risk analysis.

Therefore, this Special Issue aims to encourage researchers to address the recent progress made in the field of disaster risk sciences, fully taking advantage of the new opportunities from Big Data in topics including, but not limited to, the following:

1）Advanced theoretical and methodological issues for quantifying disaster risks;

2）Every progress related to hazard, exposure and vulnerability analyses;

3）Disaster risk development, communication, transition, and governance.

Prof. Zhao Zhang
Guest Editor

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• risk quantification
• natural hazards
• mutlidimension data assimilation
• vuneralbility curves
• disaster risk transition
• disaster risk management