In the last 20 years, Portugal has been severely affected by large wildfires with dramatic consequences not only on the burnt area but also in casualties. After the ignition of a wildfire, the use of tools for monitorization and coordination is crucial for improving decision-making during the mentioned crisis. Due to the complexity of large wildfires, their effective suppression requires suitable and well-coordinated resources, up-to-date knowledge of the landscape, and accurate fire behavior prediction. In this context, the present paper addresses the main characteristics of a Decision Support System (DSS) that incorporates data fusion from various information sources encapsulated in a simple and efficient platform. The main goal is to provide fire managers with useful and sound information to improve fire suppression strategies and decisions. To accomplish this, it is proposed a fast, reliable, and informative DSS based on advanced computational intelligence and visualization techniques that integrate innovative technologies from multi-sensor systems, cutting edge satellite image processing, and near real-time (NRT) fire spread predictions (FSP).