Portfolio

The U-space2 study aims to identify and analyse the technical and economic feasibility of an Advanced and Specialized Traffic Information Service (A/S-TIS) exploiting space services such as SATNAV, SATEO, SATCOM, METEOSAT and ground services (5G) in support of UAM. The expected result is a A/S-TIS preliminary mock-up of the, its service and system architecture design, its development and business plan.

HeReMo supports the healthcare community to deal with the coronavirus outbreak, with special attention to the growing number of citizens affected by chronic conditions and comorbidities. It reshapes the management of patients, with a personalised healthcare delivery, whose chronic conditions could overload healthcare system during pandemic crisis without overlooking patients’ needs and frailties, even more in areas where terrestrial communications are insufficient. The solution has also benefits for other clinical applications.

FATE develops a digital ecosystem to preserve and disseminate cultural heritage sites, realizing an open, participatory and interactive marketplace platform, using best of breed innovative technologies and smart interconnections between service providers, merchants, customers, users and stakeholders, realized on a cloud-based AI supported virtual platform that store, share, manage and maintain historical sites digital twins and related metadata.

Earth Rover is developing an autonomous crop scouting and concentrated light weeding farm rover with an integrated Farm Intelligence System to allow for the gathering and analysis of real-time data.

Our company is targeting the high-value vegetable market and it is currently developing innovative technologies to provide prototypes of the farm rover to commercial organic farmers.

Earth Rover’s key benefit is to help growers increase their yields while reducing their costs.

Have you ever had environmental considerations while on vacations? Most travellers are keen on preserving the area they are visiting but very few have reliable information on the actual environmental situation. Within this project the use of Earth Observation data is assessed to quantify the environmental situation and deliver this information in a simple way to all tourism stakeholders.

Self-learning and AI-powered Atmosphere and Energy Forecasting System using Earth Observation Data, Machine Learning technology, and High-Performance Computing. SEED is tailored to the needs of Indian renewable operators in terms of optimizing solar farm’s operations and maintenance scheduling based on weather and predictive insights generated by the SEED system. It can be adapted to other regions as well.

In the Space for Buildings study, ACS will investigate the usefulness of satellite pollution data in combination with a 5g connection, for reducing pollution in buildings. In particular particulate matter(<2.5um). The Tropomi and CAMS projects will be used in combination with a local sensor, to supply the already existing Climatics building management platform of data. Which can then adapt its control loops to the local pollution outside air.

The project aims to establish a service leveraging on big data from satellite and ground data to support migration management and prevention.

AMOR provides Public Institutions and Visitors with specific services for Cultural Heritage Safeguard and Fruition.

The Safeguard services (derived by satellite EO, UAV systems and GPR technologies)provide information and actionable data about the conservation status of historical monuments. The Fruition services (supported by 5G connectivity) offer to the CH Visitors an Augmented/Mixed Reality experiences via the dedicated mobile-App which is directly accessible through their mobile devices.

SatNetMonitor is a vegetation management and infrastructure risk detection service for electricity network companies. Disaster management service module is offered to Distribution Service Operators (DSO).

Europe requires clean, independent energy sources now more than ever. EPOS is a software-as-a-service solution that provides energy planning in buildings and cities. It combines state-of-the-art energy modelling with Earth Observation data, enabling engineers and decision makers to ideate, analyse the current situation, and create diverse supply concepts. All necessary data is provided in one place, and AI decision support algorithms are included to make the energy transformation process more efficient.

WaterSentinel aims at providing satellite-powered water quality monitoring tools relevant for Environmental, Social and Governance (ESG) assessments as well as broader environmental monitoring applications.

Its falls within a broader goal of promoting the use of space data for sustainable finance decisions.

SenTAct from Epic Blue gives you all the tools you need to keep your people safe and your operations efficient. SenTAct is a field team tactical awareness which ensures that teams in the field have the information they need for the local context. The embedded Artificial Intelligence engine locates your staff and assets, alerts on hazardous events, and generates mission intelligence. 

RESUCI – DEMO is focused on the implementation of pre-operational services that aim at improving recurrent daily operations of critical infrastructures’ managers, including energy operators and forest managers.

For this, two services have been implemented using Earth Observation (EO) imagery:

• Service 1: Right of way monitoring for obstacles and activity detection – standing as an alternative to traditional methods of characterizing and monitoring the rights-of-ways of linear networks, this EO based service provides faster updated characterization of the land use, when compared to traditional methods

• Service 2: Field maintenance operations management and control - this service fills a gap and stands a high value management tool that prevents the need for common monitoring approaches, typically by deployment of field teams. Also, this service is designed to be provided continuously, providing users with up-to-date information on the status of the maintenance tasks

PALETTE is a technology and platform that uses satellite data to produce synthetic cloud-free images and deliver unique value to the earth observation industry and other industries. By combining satellite constellations, PALETTE can provide users with access to continuous, up-to-date imagery and simplify the data acquisition process.

The project comprises two activity streams:

• Weather over AIS, which aims to extract weather information from vessels that use AIS to improve weather forecasting in areas where this information is scarce. 

• AIS and Synthetic Aperture Radar (SAR) data fusion, which enables the creation of a service for detecting “dark” vessels, creating a wide-area situational awareness solution for public entities.

The availability of qualitative data is crucial for the automation of ports. The automation process is often hampered by data streams that are incorrect, have insufficient resolution or are incomplete. This service will provide verified and improved AIS data based on space assets.

By leveraging satellite communications and geo-positioning, the ITS (Intelligent Transportation System) Equant consortium aims to make Valerann’s technology more scalable and capable in roads where there is limited cellular connectivity. In doing so, the consortium will make the benefits of active traffic management available to all roads.

SNOWtoWATER service provides high resolution and accurate snow water equivalent and snow cover data. SNOWtoWATER makes use of innovative A.I. algorithms fed by remote sensing data and quantitative sitespecific analysis, providing results through a digital platform.

SOILRISK is a high-resolution Predictive Model Application for Landslides that gathers atmospheric and environmental data and converts it into valuable intelligence in order to forecast landslide occurrence and provide a warning system for prevention.
SOILRISK is based on an innovative Machine Learning approach and a proprietary early-warning algorithm, using more than 20 conditioning factors dynamically.