Nebula Public Library

“Remote Sensing for Marine Litter - RESMALI” has identified the ideal parameters to study marine litter (ML) from space, including spectral bands with affordable signal-to-noise ratio (SNR) at top-of-atmosphere (TOA) level, in a range of wavelengths from visible to SWIR. To continue this path towards a dedicated mission, performance assessment against simulated real-case scenarios of ML is key. We want to build a simulator to estimate ML signal at TOA from a set of scenarios representing the various applications already targeted by the community (e.g.

There is growing global concern over the chemical, biological and ecological impact of marine plastic pollution. Every year many millions of tons of plastic enter the global oceans but where it goes remains largely unknown. Remote sensing has the potential to provide long-term, global monitoring but for plastics in the ocean it is still in early stages.

The main objective of the ELMASAT study was to brint into Capella the means to calculate the availability of a satellite system and provide extra facilities for trade-off analysis. As an example of application, an assesment of SEE detection and mitigation strategies was performed with respect to availability objectives.

The BIOINSPACED project was initiated to find bio-inspired solutions for space debris removal because the identification, orbital alignment, capture and removal of uncooperative bodies in space is incredibly complex and no fully functioning method is available to date. Biology and its evolved mechanisms often provide specialized concepts that show great transferability to technical systems.