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New services for forest fire prevention, management and suppression support, based on digital technology applications, have been made available. However, diversity of relevant data and application architectures is still a shortcoming of current practice. Furthermore, in-situ measurements are difficult to obtain due to the infrastructure investment required and technological restrictions; integration of information services, operational logistics, simulation models, knowledge management and real-time data flows still lags behind. A new integrated system for forest fire management is introduced, and a pilot implementation is presented. The system offers services ranging from in-situ temperature measurements, to optimization, risk assessment, and decision support; its primary focus is on decision and operational support in forest fire suppression using advanced operational logistics, fire simulation models, along with knowledge management techniques. The elements of the system provide real-time functions to detect, monitor and predict the evolution of forest fires, assist in the suppression operations, and also provide decision support to civil protection authorities and fire suppression services. A state-of-art self-organizing expandable fire sensor network is used for real-time in-situ measurements, along with a package of software applications. The network uses in-situ sensors deployed camouflaged on trees, which implement a self-organizing RF data network that broadcasts the forest temperature distribution using redundant local control nodes and dynamic-re-routing algorithms. This integrated system can be used as a tool to create fire suppression …