Portfolio

Embedded into the SAT-AIS context, this IAP Demonstration Project aims to support the EMSA Blue Belt project. Providing space-based AIS data, it seeks to complement the terrestrial AIS data and provide an added-value source of information for Customs Authorities interested in maritime situational awarenees for vessels and geographical focus areas.

The AGRO-BIOMES Kickstart activity aims at understanding the biodiversity market level readiness in four major agricultural markets segments, proposing a few architectures scenario based on the <geosys/> platform capabilities, testing biodiversity-related analytics with ground truth and Copernicus data and finally evaluating economical, technical, and scientific risks and mitigations plan to be considered prior to a go-to-market decision.

The project VADUS provides to tourists the opportunity to enjoy cultural heritage that is not easily accessible to improve the enhancement of archaeological and museum sites. VADUS,realizes a metaphorical safe “way” of a virtual nature that overcomes physical and cultural barriers related to difficult access, reduced comprehensibility for the lack of some significant parts, presence of hidden or difficult to interpret cultural aspects.

The potato industry has been continuously increasing through the introduction of improved varieties, extensive mechanization and improved cultivation techniques and farm management. In order for the sector to maintain a sustainable growth and act in the dynamic market, the sector is actively looking to become more data driven, making decisions based on technological information and relying less on human expertise.

KARL Scheduler provides farmers with satellite-based irrigation recommendations, ensuring they have a clear view of the irrigation needs of their entire farm. Calibrated with soil sensor data, KARL Scheduler ensures the highest quality satellite-based soil moisture estimates, creating a virtual soil moisture sensor for every 20m of a field, ensuring water resources can be used optimally.

The Digital Worksite project develops a satellite-enabled solution to improve safety and efficiency for railway maintenance teams by tracking people, vehicles and equipment in real-time during worksites.

Origin Orbit™ is an advanced cloud based B2B software platform, revolutionizing gas and water pipeline management through satellite remote sensing, machine learning, and our integrity management expertise. The platform aims to offer faster, more cost-efficient, and environmentally conscious solutions in line with relevant regulatory and legislative requirements, vastly surpassing traditional survey and assessment methods.

The CORE “Carbon Organic Resilient Ethereal” project aims to create an index (SCENARIO Index - Soil Carbon ProtEctioN And RestoratIOn) to map and classify soils according to their capacity to store ethereal and resilient carbon to facilitate carbon farming initiatives and investments.

Satellite enabled smart autonomous micro-particulate analysis for real-time and remote water quality monitoring.

90% of world trade goes by sea making it of great importance economically, strategically and environmentally but the maritime domain is vast and remote making persistent surveillance challenging. SiriusInsight® uses cutting edge artificial intelligence to analyse maritime data from multiple remote and autonomous sources in order to create actionable information for users about otherwise unobserved marine activity.

The STARS project aims to deliver a product consisting of the automation of real-time workout parameter registration during swimming workouts. Currently, there is no system available in open water swimming that allows for the real-time registration of both biomechanical and physiological parameters in a wearable and comfortable way.

SES5G prevents, detects and manages wildfires and illegal actions in forestall areas.

The solution relies on satellite observation, autonomous drones, advanced firefighting sensors, security gates with plate readers, mobile control rooms that, with Artificial intelligent algorithms that feed with geolocalized data stakeholders control rooms (Civil protections, Environment department, Public protection, … ).

Ecosystems – CPV provides data and modelling capabilities for utilizing coastal ecosystems as vital green infrastructure for protecting critical assets, business activities and people along coastal zones. The solution provides quantitative data and flexible modelling approaches to the insurance and infrastructure sectors, facilitating the effective and sustainable use of coastal ecosystems for disaster risk reduction and climate adaptation.

The CROP project is aiming to provide a steering tool for agricultural crop rotation. The principle is to offer dashboards to cooperatives and traders to take better decisions thanks to an AI model, satellite data, data projection and the implementation of a data space to characterize the situation at different levels (climate, soil, soil cover in intercropping, cultural practices, irrigation…).