HMOD

EU trade, transport, tourism and economic development are directly dependent on open and safe seas and oceans. EU's maritime borders are widely spread including various topologies from open sea to semi-enclosed cabins with islands and islets. This poses great challenges that affect securing maritime border areas. Failing to protect against a wide array of maritime threats and risks may result in these areas becoming arenas for international conflicts, terrorism or organized crime, where smuggling, irregular immigration and drug trafficking are the most common ones. RANGER aims at re-enforcing EU by combining innovative Radar technologies with novel technological solutions for early warning, in view of delivering a surveillance platform offering detection, recognition, identification and tracking of suspicious vessels, capabilities exceeding current radar systems. It will be a platform, consisting of 2 radar technologies, a novel Over-The-Horizon Radar combined with a Multiple Input Multiple Output one implemented exploiting the latest photonics advancements, and an Early Warning System exploiting deep and adaptable machine learning schemes able to Automatically detect radar Targets. It safeguards seamless fitting and interoperability with CISE (enhanced maritime surveillance and cross border SaR operations), through the development of a CISE translation Gateway, exporting on-demand CISE services directly to end-users, by strengthening the information exchange between national authorities and the European Agency. RANGER leverages the experience of its consortium, a balanced blend of technology providers, domain experts and end-users, delivering a cost efficient, environmental friendly solution, abiding to regulations and legislation for the protection of human lives. Two pilot exercises are foreseen to thoroughly assess RANGER’s ability to deliver on its promises, enhancing its potential to become a flagship platform for the European Maritime Surveillance industry.

The purpose of the RAWFIE initiative is to create a federation of different network testbeds that will work together to make their resources available under a common framework. Specifically, it aims at delivering a unique, mixed experimentation environment across the space and technology dimensions. RAWFIE will integrate numerous testbeds for experimenting in vehicular (road), aerial and maritime environments. A Vehicular Testbed (VT) will deal with Unmanned Ground Vehicles (UGVs) while an Aerial Testbed (AT) and a Maritime Testbed (MT) will deal with Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) respectively. The RAWFIE consortium includes all the possible actors of this highly challenging experimentation domain, from technology creators to integrators and facility owners. The basic idea behind the RAWFIE effort is the automated, remote operation of a large number of robotic devices (UGVs, UAVs, USVs) for the purpose of assessing the performance of different technologies in the networking, sensing and mobile/autonomic application domains. RAWFIE will feature a significant number of UxV nodes for exposing to the experimenter a vast test infrastructure. All these items will be managed by a central controlling entity which will be programmed per case and fully overview/drive the operation of the respective mechanisms (e.g., auto-pilots, remote controlled ground vehicles). Internet connectivity will be extended to the mobile units to enable the remote programming (over-the-air), control and data collection. Support software for experiment management, data collection and post-analysis will be virtualized to enable experimentation from everywhere in the world. The vision of Experimentation-as-a-Service (EaaS) will be promoted through RAWFIE. The IoT paradigm will be fully adopted and further refined for support of highly dynamic node architectures.

Forest fires are exacerbated by extreme weather conditions, which are increasing both in frequency and in magnitude due to climate change effects. This points to the need for improving the effectiveness of emergency management solutions aimed to help society in becoming more resilient to emergencies arising before, during and after forest fire events. Therefore, it is proposed to realize a comprehensive Emergency Management System (EMS) that we name SAFERS: Structured Approaches for Forest fire Emergencies in Resilient Societies. SAFERS will act along the key phases of the emergency management cycle, coupling information from EO data and services offered by Copernicus and GEOSS, crowdsourced data from social media and from specific applications that can be used by both citizens as well as from in-field professional agents, data generated by accurate sensors to detect smoke or fires. Advanced algorithm based on Artificial Intelligence will be used to generate risk maps and early warnings in the preparedness phase, estimate the forest fire extension and its propagation in function of the forecasted weather and soil conditions in the response phase, compute the impacts of an extinguished fire in terms of economic losses and monitor the soil recovery in the post-event phase.