Search

23 results found
Data compression as a service

Telemetry data is the most valuable asset provided by any spacecraft. Increasing the data amount sent from space to ground increases a mission’s value, but often this comes with increased costs. Compression of Space generated data provides great benefits to both the large ESA missions by increasing the mission science throughput and small missions (which typically have low bandwidth) by increasing the traditional low downlink rates of these missions. One solution to this problem is the POCKET+ lossless compression algorithm, which is currently being standardized by CCSDS.

Germany

21-D-S-OPS-02-d

VisionSpace Technologies
ONBOARD MULTI-FRAME SUPER RESOLUTION IMAGE

Cubesats have the potential to revolutionize Earth Observation 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 characterized by a small form factor, provides an impressive in terms of capabilities and flexibility hardware/software platform for executing demanding machine learning algorithms (inference stage).

Greece

21-D-S-OPS-02-g

OHB Hellas
Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks – Space DAO

In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.

Germany

EISI_I-2022-00372

parametry.ai
LEO-GEO for Greenhouse Gases LEO-GEO4GHG

LEO-GEO4GHG studies the feasibility of new frontiers of Cloud Computing in Space and artificial intelligence (AI) combining multiple sources of data such as 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
PERTEO: Persistent Real-Time Earth Observation for Responsive Disaster Management

Persistent Responsive Real-Time Earth Observation small satellite constellation mission (PERTEO) is a study dedicated to provide a global democratic service to support disaster management. Earth observation and satellite-based communications play a key role to support 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...
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 users 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
SPOTS: Spectral properties of submerged and biofouled marine plastic litter

Recent studies have shown that remote sensing of floating marine plastic litter (MPL) is feasible from unmanned aerial systems, aircraft and satellite missions. However, in the infrared (IR) spectrum, water is a strong light absorber which makes the spectral detection and discrimination of plastics challenging. Additionally, MPL is often covered with living organisms and it is unclear what impact different thickness of biofouling may have on the spectral reflectance of floating plastic.

The Netherlands

20-D-S-TEC-01-h

The Ocean Cleanup
D-TACS: on demand data transformations and auto-calibration in-orbit

Many use-cases for insight generated in orbit require the integration and calibration of raw data from multiple instruments and vantage-points - a future vision sometimes referred to as ‘hybrid observation’. Such a capability would be a foundational requirement in the processing chain for rapid follow-up observations especially when we need to estimate quantitative variables (e.g. soil moisture or water pollutants).

United Kingdom

EISI_I-2022-00379

Trillium Technologies
Detection and tracking of large marine litter based on high-resolution remote sensing time series, machine learning, and ocean current modelling (TRACE)

The overall goal of the TRACE project was to build a remote sensing based fully automated system for the detection and tracking of large marine litter and accumulation patches of smaller litter items in order to obtain precise and reliable data on floating macro-litter regarding their quantity, position, accumulation zones, material properties, floating depth, and sources. The tracking mechanism has been implemented by coupling the daily satellite-based detections with an oceanographic forecasting system and by a two-step object matching approach.

Germany

20-D-T-TEC-01-b

Helmholtz-Snetrum Potsdam
Artificial Intelligence and drones supporting the detection and mapping of floating aquatic plastic litter (AIDMAP)

Remote detection and mapping of floating marine plastic litter (FMPL) from space needs to operate in synergy with clean up actions. This implicates that an observation system is needed combining high revisit and high spatial resolution. Currently there is no single remote sensing technology with sufficient revisit capabilities and spatial/spectral resolution relevant to FMPL dynamics. Therefore a combination of small drones, satellites and High Altitude Pseudo-Satellite (HAPS) is anticipated to provide the long term sustainable technical solution.

Belgium

20-D-T-TEC-01-n

Vito

Pages

Filter by programme:

Filter by start year:

Filter by end year:

Filter by keywords:

Filter by contractor:

Filter by country:

Filter by application domain:

Filter by competence domain:

Filter by technology domain:

Filter by status: