Nebula Public Library

Nowadays, human Moon exploration, and the consequent desire to establish a permanent settlement on its surface, represents one of the most fascinating challenge to face. The permanent presence of a human outpost very far from Earth raises the problem of the huge amount of payload required for the settlement, as well as the need of rapid and in-time supply of material and spare parts useful for all the activities carried out in-situ, including the realization of medicals tools and patient-specific back-up implants.

Marine Litter Aggregation Forecast presents a new estimation of long-term global distribution of marine litter proceeding from land-based and from sea-based sources at global scale, taking advantage of numerical reanalysis databases of historical met-ocean conditions. Different machine learning techniques are applied to generate long-term climate-based series of those environmental variables that may affect the drift of marine litter over the sea surface such as currents, wind and wave-induced Stokes drift.

ESA has traditionally specified space systems using a document-based approach, and is now in a transition process towards the digitalisation of systems engineering activities. At the same time, space industry companies have their own internal set of best practices and experience with Model-Based Systems Engineering (MBSE).

To solve this problem, ESA initiated this study led by CGI in partnership with OHB to identify a way to harmonise the different MBSE approaches from industry and compile the information into a concise book.

As on Earth, space debris should not only be seen as a threat. Instead, the value of waste as a recycled good should be understood. On Earth, this potential is already fully recognised. The German recycling industry alone generates more revenue than the entire European space industry. Nevertheless, this treasure was never lifted in space.