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The use of analytics functions with EO and non-EO data will bring the following benefits:

• Capacity to characterize the vulnerability of assets/population using selected available models (TBD: GEM-like)
• Capacity to produce risk maps using multi hazard (floods and landslides), exposure and vulnerability information
• Capacity to generate loss mapping (e.g. estimation of monetary losses from potential affected building in an area) integrating selected available financial risk model

Features:

The study is supposed to provide a wide-spread analysis not only limited to POD concepts, but also investigating the impact of the SSV extension on operational concepts for space users, GNSS software design, and ground operations.

A major challenge in the field of control is to achieve reliable, aggressive, high-speed control of autonomous vehicles. In space, this may involve spacecraft that need to land under harsh conditions, or even – in an extreme scenario – negotiating asteroid debris fields at high speeds. On Earth, the exemplar task that draws most attention currently is high-speed autonomous flight of drones. The application of optimal control on board limited platforms has been severely hindered by the large computational requirements of current state-of-the-art implementations.