Portfolio

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…).

The CROP project is aiming to provide a steering tool for agricultural crop rotation. The principle is to offer an exhaustive vision of past rotations but also to make a projection of the rotations in the one or two next years thanks to an AI model, satellite data and other data to characterize the situation (climate, soil, cultural practices, irrigation…). 

The present activity is concerned with reducing the risk to civil aviation of an accident in the airport airspace environment as a result of bird strike.

The goal of the project “Space Acting for Decarbonisation (SA4D)” is to perform a feasibility study that will demonstrate the technical and economic viability of suitable satellite-based services for suggesting decarbonisation actions targeting agriculture, food production and building construction economic sectors.

TRACTIONS addresses the need for water transparency information by the dredging market and primary production information by the aquaculture sector. TRACTIONS services include continuous local calibration and validation with proprietary optical sensors from the WISPstation network, and very high resolution imagery that is available multiple times and day. This project will study the feasibility of the TRACTIONS service.

Water quality forecasting to enable business & government to optimise usage & risk. We help multiple stakeholders collectively measure, monitor & forecast real time water quality to become resilient and adaptive to climate change

The “Autonomous Drone Services in the CBRNe operations” (AUDROS) Feasibility Study assessed the technical feasibility and commercial viability of space-based services in combination with the emerging RPAS technologies which become a game changer in many service domains to improve the monitoring, early warning, surveillance and reaction on CBRNe events and threats.

The ReSeNO kickstart project introduces a trustworthy service to manage, optimise and reduce the use of fertilisers in agriculture. Precise nitrogen estimation will strengthen agricultural sustainable practices to preserve earth’s natural resources, maintain soil quality, reduce chemical use, and save energy. It will also increase the economic profitability of agriculture and secure healthier land, helping on the food demand.

N-base solution combines expertise in horticulture with advanced remote sensing technology and provides field maps for monitoring and optimization of nitrogen applications in apple orchards. This is how farmers gain actionable insights to facilitate precise and targeted nitrogen application.

Spotlite is an infrastructure monitoring system based on satellite imagery. It uses InSAR (Interferometric Synthetic Aperture Radar) data to assess structural stability and ground subsidence over transportation networks (road and rail infrastructure), including pavement and adjacent slopes.

OGOR YIELD estimates the maize yield at different levels: field, farm, county, region, country, for all agricultural seasons, starting with 2017.Knowing the yield at field level allows to decrease input costs, to optimize logistic and storage costs and ultimately to increase farmers profit.

To achieve better efficiency and reliability in monitoring the operation of an agricultural farm, we decided to utilize the potential of combining benefits of IoT sensors together with data from Earth observation. We propose collecting reliable basic data like soil moisture, temperature, humidity and nutrient levels using sensor inputs as well as Earth observation indexes. Our platform handles collection of data, combining them and It’s processing in cloud environment also, all with mobile access and management. We focus on providing effective and reliable monitoring, reporting and alarming, incl. growth status and environmental factors for mandatory public disclosure.

SoilEO – Remote Soil Analysis. Generate fertility maps of your fields with a remote soil analysis.

The demonstration project is to validate and demonstrate the technology on real-life fields in real-life conditions in different countries. By using Remote Sensing and Hyperspectral spaceborne images processing one gets a visual and digital map of macronutrients: Mg, P2O5, K2O, Ca, Soil Organic Carbon and pH.