Portfolio

The SWEEP project uses EO and Machine Learning to provide high-resolution monitoring of reservoir GHG emissions. By linking emissions data to water quality drivers, the nine-month project builds the data framework to eventually identify and verify which targeted interventions, such as nutrient reduction, catchment management, and nature-based solutions, deliver the maximum impact on water quality and carbon to inform decision-making. 

An end-to-end geospatial AI platform that monitors forestry activities to improve supply chain traceability, mitigate deforestation, and accurately estimate forest carbon stocks for global sustainability and regulatory compliance. 

WetGuard turns free Copernicus Sentinel-1 observations into season-long condition evidence for restored peatland. A parcel can read as on track, in need of attention, or not visible. Agricultural consultancies hold the file. Landowners meet the result through their firm. Decision support, for the day a scheme asks for proof of result. 

SatSeaBio develops a modular approach for long-term marine biodiversity monitoring at offshore wind farms. Underwater cameras, onboard processing, artificial intelligence and satellite communication enable continuous, non-invasive observations at remote offshore locations, with processed biodiversity information delivered to developers and environmental monitoring partners.  

DINAMO is a multi-sensor multi-temporal platform representing an operational tool designed for the early-warning and detection of possible structural failures designed with the purpose to provide a solution to the growing need of reliable and durable operational tools for bridges and viaducts continuous 

With the CCN a new functionality to the DINAMO platform is implemented allowing evaluation of the static and dynamic effect of heavy loads on the bridge/viaducts such as those generated by “exceptional transportations” (i.e. oversize transportation). This is only possible by triggering the acquisition of in-situ sensors when heavy trucks are entering the bridge/viaduct and stopping acquisition when they have left the bridge/viaduct. 

PREDIFAN is an ESA-supported project aiming to develop an operational early-warning service for harmful algal blooms (HABs) affecting salmon farming in Chile. 
By combining satellite Earth observation data, in-situ measurements, and advanced modelling, the service delivers predictive insights and real-time alerts to help aquaculture operators anticipate risks, reduce fish mortality, and optimize farm management decisions.

Vertify.Earth tracks the interaction between production or conservation activities and nature. Using satellite data and ground insights, it provides detailed assessments of biodiversity, land use, and ecosystem impacts to support nature-positive strategies and align with global ESG frameworks. Applications range from agroecological practices to evaluating industrial impacts on ecosystems and indigenous communities.

STREAMO is a commercial downstream application seamlessly merging satellite and stratospheric Earth Observation data. Focusing on urban/mountain environments, the platform provides very-high-resolution, near real-time updated maps and insights like vegetation and thermal gradients. It offers a centralized marketplace for accessing archived products and requesting on-demand stratospheric tasking to bridge the gap between satellites and drones.

UR2EP explores and validates a digital decision-support platform that combines Earth Observation, LiDAR and local geospatial data to support urban regeneration and renewable energy planning. It helps municipalities, Renewable Energy Communities, and real estate and industrial operators identify underused areas, assess rooftop photovoltaic potential, monitor territorial assets, and make informed planning and investment decisions. 

Airmine brings environmental intelligence into athlete workflows enabling better decisions from everyday training to large-scale event execution. Airmine combines space-based data (ESA), environmental data sources, and proprietary modelling to deliver high-resolution air quality and pollen insights for athletes. 

SISFM explores how Earth Observation and other monitoring technologies can be integrated into Forsler.com digital platform for sustainable forest and land management. The project combines satellite imagery, drone data and specialist analytics with operational management workflows, enabling forest and land managers to monitor change, improve decision-making and support efficient documentation of forests, nature and biodiversity. 

VGDS-TRUST developed a verified GNSS data service for critical infrastructure, combining distributed monitoring nodes with UTC-traceable reference data and cloud-based verification. The project validated customer requirements, technical feasibility and commercial models for detecting GNSS spoofing, interference and timing anomalies across aviation, maritime, government and metrology applications. 

During and after disaster events, ensuring that aid reaches those most in need is of paramount importance. When disasters lead to damaged and blocked road infrastructure, the delivery of aid becomes more difficult. This project aims at integrating automatically detected flood extents with routing services so that logistic planning can be undertaken utilising the current state of the road infrastructure. 

WatAirDrop explores a sensor-controlled system combining atmospheric water harvesting, drip irrigation and crop protection. The study assesses how satellite data and connectivity can support operation, helping growers manage water shortages and weather risks. Bulkai Ltd is evaluating the technical and business case using an operational test installation. 

CH4 Leak Detection explores satellite-based methane monitoring for critical energy infrastructure. The project combines Earth Observation data, traditional methane-detection methods and AI/ML plume segmentation, with a Proof of Concept conducted on Sentinel-2 and commercial imagery under realistic Czech conditions. 

OPT4SOL.AI combines Copernicus Sentinel-1 and Sentinel-2 Earth Observation data, national infrastructure and land-use layers, and a machine-learning model to score and rank candidate locations for utility-scale photovoltaic plants. The service produces a per-cell suitability score at 100 m resolution and a ranked site shortlist for any chosen area of interest, across five Central and Eastern European countries. 

https://business.esa.int/projects 

XR4Emergency combines satellite intelligence, immersive VR simulation and AI-supported debriefing to strengthen the non-technical skills of firefighters in strategic and tactical positions. Based on real wildfire events, the solution enables realistic training of situational awareness, communication, coordination, leadership and decision-making in complex and rapidly evolving emergencies. 

Using innovative space-based nighttime imagery, Dark Vision will provide an understanding of how artificial light at night (ALAN) impacts our planet with key use cases ranging from energy infrastructure mapping to environmental impact analysis. 

SmartMetRoad offers advanced, real-time decision support to road and infrastructure managers facing increasing weather-related risks. By integrating data from weather satellites, weather radars, IoT sensors (particularly from smart vehicles), numerical weather prediction models and drones via robust hybrid 5G and satellite connectivity, it provides high-resolution weather risk monitoring and forecasting, along with related alerts. The project enables safer, more efficient, and sustainable operations for public entities and private operators, reducing costs and improving the resilience of roads and infrastructure. 

The project conducted a feasibility study to assess development of an automated monitoring system for transport infrastructure (road, rail, waterways). The proposed solution (PathWatch) combines HD Model of a transport infrastructure, vehicle sensor data, satellite imagery, and other sources to detect risks, changes, and maintenance needs. The PathWatch solution enhances inspections, lowers costs, speed-up maintenance and extends infrastructure lifespan.