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BLUE: Brillouin - backscatter - fluorescence LIDAR research for Underwater Exploration of marine litter

Plastic marine litter is a very complex global environmental issue, with plastic litter at the sea surface representing only a small fraction of plastic entering the sea. In this respect, the BLUE project investigated the potential of diverse LIDAR techniques (backscatter, fluorescence, Raman) to address the detection of plastic litter not only floating on the sea surface, but also suspended in the first few metres under the surface, with also a focus on detecting microplastics and discriminating plastic from other types of litter. The approach adopted was four-fold:

Italy

20-D-T-TEC-01

CNR-IFAC
MUSS2: Multi-Model synthetic S2-HS (HyperSpectral) data for marine/plastic debris characterization

For plastic detection, characterisation and tracking, we need rich spectral information, ideally hyperspectral data. We would like hyperspectral data up to short-wave infrared (2500 nm) and around 0.5 m ground sample distance. Neither of these characteristics are existent in current Earth observation missions, and will still be difficult to find in future Earth observation missions.

Belgium

20-D-T-TEC-01

VRIJE UNIVERSITEIT...
ONBOARD MULTI-FRAME SUPER RESOLUTION IMAGE

CubeSats have the potential to revolutionise Earth observation from space by exploring different operating points in terms of spatial, temporal, and spectral resolution. However, physical limitations, mostly in terms of size, prevent them from obtaining high-quality images. OPS-SAT, while characteriaed by a small form factor, provides an impressively capable and flexible hardware/software platform for executing demanding machine learning algorithms (inference stage).

Greece

21-D-S-OPS-02-g

OHB Hellas
LEO-GEO for Greenhouse Gases LEO-GEO4GHG

The LEO-GEO4GHG project studied the feasibility of new frontiers of cloud computing in space and artificial intelligence (AI) combining multiple sources of data such as the SATLANTIS GEI-SAT constellation and other external meteorological and atmospheric data with the final aim of providing near real-time methane detection and quantification.

Spain

EISI_I-2022-00367

SATLANTIS MICROSATS SA
Plastic Plants: Detecting water hyacinth patches as a proxy for riverine plastic transport

The project, part of the ESA Discovery Campaign on Remote Sensing of Plastic Marine Litter, developed a method to estimate floating macroplastic accumulation and transport rates in rivers using remote sensing. It combined the detection of floating water hyacinths using Sentinel-2 and Sentinel-1 with in-situ estimates of macroplastic densities carried by this invasive aquatic weed. Water hyacinths typically form large patches of several meters of width and length, and can thus be detected from space.

Netherlands

20-D-T-TEC-01-i

Wageningen University...
Dual-camera satellite with on-board AI-Based decision making capabilities

The main objective of this study was to evaluate the merits of a dual-camera setup to acquire high-resolution images of identified events of iinterest, on board, through AI methods. A mission analysis of the approach for a single-satellite, dual camera setup as well as for a two-satellite (leading-trailing), single camera setup was performed. The dual-camera AI approach was demonstrated on commercially available high-performance embedded computers (Xilinx Kria SoM / Google Edge TPU SoM) through a state-of-the-art active fire detection use case.

Greece

EISI_I-2022-00382

OHB Hellas
PERTEO: Persistent Real-Time Earth Observation for Responsive Disaster Management

Persistent Responsive Real-Time Earth Observation small satellite constellation mission (PERTEO) was a study dedicated to providing a global democratic service to support disaster management. Earth observation and satellite-based communications play a key role in supporting disaster management targeting responsiveness and the persistence of the service. In the terminology of on-demand Copernicus services, responsiveness is determined by the lead-time and latency. The persistence is determined by the availability and by the revisit time of the service.

Spain

EISI_I-2022-00376

DEIMOS ENGINEERING AND...
Detecting riverine plastic conglomerations, fluxes and pathways in Indonesia

The project, renamed in short “Plastic Monitor”, was part of the ESA’s Discovery Campaign on Remote Sensing of Plastic Marine Litter, funded by the Discovery Element of the ESA’s Basic Activities. Plastic Monitor aimed at assessing the feasibility of detection of heavy plastic pollution loads in an Indonesian river by using satellite imagery and ground truth and to demonstrate how Remote Sensing can enhance the quantification and monitoring of plastic input into the marine environment.

Netherlands

20-D-T-TEC-01

Deltares
Don't try this at home

'Don't try this at home' (named after one of the AI ships from I.Banks Culture series) is a concept demonstrating the benefits of having a cognitive cloud computing infrastructure in space. Such an infrastructure will provide a comprehensive and scalable set of commercial services to EO sensors and space-based data providers. It enables several applications by efficiently collecting and fusing information on target objects from observations of different platforms at various wavelengths, resolutions, and times. As a result, it leads to timely, precise information.

Italy

EISI_I-2022-00366

Planetek Italia
Versatile Data Compression Software For Sustained High-Throughput In-Orbit Data Acquisition

We have developed a high-performance data compression software with embedded data analysis features for radio-frequency (RF), multi-band images and video. It offers excellent compression ratios and quality levels with very small computing requirements which even allow for real-time operation on modest processors. Tests on OPS-SAT data reveal image ratios over 1:10 with excellent visual quality, and RF ratios over 1:3 with nearly identical spectrograms thanks to a smart lossy approach.

Spain

21-D-S-OPS-02

DAPCOM Data Services

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