surface temperature is projected to rise throughout the 21st century under all assessed emission scenarios [2]. Such global warming directly affects precipitations because the water holding capacity of air increases by about 7% per degree C [3] that leads to more water vapor being retained in the atmosphere. Storms, thunderstorms, extra-tropical rains, snow, are therefore supplied with more moisture and produce more extreme precipitation events. Such events are observed to be widely occurring, even where total precipitation is decreasing, and, in combination with rapid snow melting, they increases the risk of flooding. Given that floods are usually weather-induced, meteorological services provide local authorities with a periodical weather and flood hazard forecast that contains an encoded alert level on a predetermined set of geographical areas. The alert level is used to trigger actions according to a predefined

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Abstract-The threat of a forest fire disaster increases around the globe as the human footprint continues to encroach on natural areas and climate change effects increase the potential of extreme weather. It is essential that the tools to educate, prepare, monitor, react, and fight natural fire disasters are available to emergency managers and responders and reduce the overall disaster effects. In the context of the I-REACT project, such a big crisis data system is being developed and is based on the integration of information from different sources, automated data processing chains and decision support systems. This paper presents the wildfire monitoring for emergency management system for those involved and affected by wildfire disasters developed for European forest fire disasters.

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