Portfolio

BLUE DISCOVERY is an innovative and powerful technology platform designed to provide an efficient and low-cost Access Control and Visitor Information System to Marine Protected Areas (MPAs), allowing them to offer a comprehensive set of added-value services to their visitors.

The project brings solution for a systematic and automatic detection of sea ice (including the identification of ice and marginal ice zone) and oil slicks in the Arctic from Sentinel-1 images. Based on Machine Learning (Support Vector Machines), it permits to process automatically thousands of images with high accuracy.

The AquaEYE system verifies the physical location of certified aquaculture facilities and water quality data.

In parallel to the CLS initiative to design a satellite constellation dedicated to Space IoT called Kinéis, this study aimed to analyse the market opportunity  of a recently developed hybrid Argos chipset with terrestrial communication capabilities to fill coverage gaps . A largely increased satellite data collection capacity and low cost and small size terminals will permit to significantly multiply the number of devices. Three application areas have been targeted in the feasibility study: container shipping, artisanal fishing, equipment operation control especially for humanitarian aids.

Our mission is to help organizations manage their natural resources more efficiently and sustainably. To achieve this goal, we augment satellite imagery with Artificial Intelligence and environmental expert knowledge to deliver actionable business insight to our customers.

Planet B is too far away – let’s take care of Planet A.

A number of countries are making preparations to turn the rapidly warming Arctic into a busy global shipping route.

The objective of the ARC-REACH project is to validate the need and feasibility to setup a cost-effective low-power long-range dynamic radio network, tailored for tracking of cargo and maritime activity, complemented with remote sensing of the environment.

The aim of CC RAFCo Kick-start activity is to assess the feasibility of a service which assist food and beverage industries monitor crops performance (their own or from suppliers), and plan for climate-related disruptions in the supply chain. CC RAFCo service offers a one-stop-shop for all climate-related data needs, to help companies integrate climate change impacts into their business planning: from contingency planning for seasonal climate variability to long-term climate change risk management.

A roadmap for combining High Altitude Pseudo-Satellites (HAPS) and satellites for ‘persistent surveillance’ monitoring scenarios.

The AMTRACK service aims at filling the gaps between terrestrial AIS service and SAT-AIS (Satellite AIS) service. Both services provide ship positions but the first is limited because of the limited VHF range of coastal stations, typically 25-30 nautical miles, while the second is limited in areas of high ship densities (Asia, Golf of Mexico, Europe…).

Space4Microgrids – India

The Space4Microgrids – India project focuses on supporting the implementation and operations of microgrids in India. The overall aim is to determine the feasibility of viable and sustainable operational satellite based services that can subsequently be developed and demonstrated. These services will aim at resolving various challenges related to deployment of sustainable microgrids for remote, isolated and emerging areas in India. Our services will assist in planning, design, operational and maintenance stages. 

The Dynamic Public Transport System (DynTrans) is a concept for dynamic public transport systems based on existing transport networks and satellite positioning. DynTrans assists public transport providers and governmental institutions to increase the attractiveness of their public transport systems. The system provides a taxi-like transportation service for the costs of a bus ticket to passengers. 

Smart Coop Solutions (SCS) is an Internet of Things (IoT) based sensing service enabling the organic farmer to monitor and maintain mobile chicken coops remotely and to guarantee suitable conditions for the animals. Animal welfare under organic standards has strict regulations and requires that coops offer a suitable indoor climate and outdoor environment. Real-time monitoring through the SCS provides farmers with relevant statistics, actionable information and peace of mind through a simple mobile app.

Geospatial data analytics for (re)insurance

NITREOS is a service platform that serves organic farmers, as well as conventional, in carrying out daily activities in a more efficient, profitable and sustainable way, as compared to the practices they used until now.

NITREOS provides the following services to farmers and agricultural consultants: i) Irrigation Scheduling; ii) Variable Rate Fertilization; iii) Crop Growth Monitoring; and iv) Yield Estimation.

Smallholders are underserved by credit providers as lenders are unable to assess their risk. Sensonomic’s system uses predictive and prescriptive simulations to assess system effects of credit deployment and open the market. With its dynamic data consumption, and iterative and reactive simulations, the service provides a continually updated prediction of how robust the credit providers portfolio is.

The key product/service is to provide a monitoring of damages to agricultural and environmental areas caused by wild boar (Sus scrofa) using remote sensing data. The technical key idea is to upscale from the investigation of local areas via high resolution aerial images to larger areas via satellite data.

The market opportunity identified by DHI GRAS is to provide customers with updated information of navigational hazards including coastlines and submerged reefs in the Arctic.

Crisis Happens! Are you prepared to save your company?

Monitor the number of cars in selected retail outlets, and use car park fill rate as a proxy to monitor and predict the financial performance of retail companies

Entocycle has assessed the viability of space-based services for the production of sustainable protein.