Portfolio

Man-made air pollution leads to 5.5-8.5 million deaths each year and causes countless chronic respiratory conditions. Traffic is the most important source of this pollution. Using satellite data, Satellite Air Quality Models (SAQM) are the most detailed air pollution maps for cities around the globe. Our portal allows users instant access to the air pollution data, benefiting everyone.

The project aims to test the feasibility of providing accurate and high resolution global air quality modelling services using vehicles extracted from very high-resolution earth observation imagery.  Providing detailed air quality modelling for a large number of cities will improve decision making, enable efficient and cost effective urban growth and reduce the air pollution impact on human health.

KickStart activity exploring end-to-end earth observation monitoring solutions for the insurance and the mining industry. 

WIS is creating an easy to deploy solution combining sophisticated global models, downscaled to regional areas, and fed by local IoT weather stations and earth observation satellite data, using machine learning techniques.
This innovative solution intends to offer high resolution and accurate predictive indicators tailored to the customers in the countries currently underserved on climate services.

EPICO19 is a web-app designed to support public health technicians and decision-makers managing epidemic control. The tool is a GIS-based (Geographic Information System) DSS (Decision Support System), driven by an epidemiological machine learning engine that provides forecasts of the outbreak spread. EPICO19 exploits Artificial Intelligence applied to Very-High Resolution (VHR) satellite imagery and SatEO to evaluate population’s vulnerability due to pollutants exposure.

VIDA is an earth observation and AI-powered custom software that enables data-driven investment, business and policy decisions in rural villages in Africa and Asia. → www.villagedata.io

MOWGLI is a solution that provides a set of services for optimal microgrid planning, designing and operational and maintenance (O&M) applications in urban and rural areas of developing countries, with particular focus on India user case. The activities have been implemented in cooperation with the India Energy Storage Alliance (IESA) and funded by European Space Agency (ESA) within ARTES IAP programme.

S.T.E.L.L.E. will give rise to SCUOLAB – SDA (Satellite Data Augmented), an educational platform with interactive and experiential contents produced from satellite Earth Observation data and based on issues of global importance such as climate change, melting glaciers, rising sea temperatures in order to give the teachers support with innovative resources to conduct both in-person and remote education experiences.

Companion enabling the development of Healthy, Wealthy and Wise cities.

At the moment, the ‘feed from the field’ is an emerging technology that takes live content from entertainment and sports sources and publishes it worldwide to mobile phones. The technology ensures the availability of the content to the user with minimum delay from the time the content is available to it being on the user’s smart device. This process is manual and requires operator intervention.

We optimise harvest planning for farmers. We use Earth observation to map the terrain, altitude, NDVI and soil data, and satellite navigation (GNSS) to validate and to direct the machinery. We combine this with weather data, machine learning and dynamic resource allocation to produce a digital twin of the environment the farmers operate in, that allows them to make data-driven operational decisions on a day-to-day.

AIperion is a SaaS that supports the crop insurance claim management process through the use of A.I., Earth Observation and Meteorological data.

This study has as its main objective to identify the real-life pragmatic needs of the public safety stakeholders within the Public Protection and Disaster Relief (PPDR) entities – on the specific topics of using (secure) satellite communication and satellite observation, to better address their own services offered to the public.

These PPDR stakeholders are identified and included as co-participants in the study – in order to make sure they represent a relevant set of end-users and that their indicated needs and requirements can be used to design and implement future satellite service that will benefit all/most of the (EU/world) PPDR entities.

IVOICE is a ground breaking technology that can change the way dangerous levels of fatigue are prevented in the mining industry. iVOICE is a non-invasive method to help operators prevent accidents in safety-critical working environments. iVOICE is a key part of fatigue management systems being applied within the mining industry by Wombatt Fatigue Management.

The objective of SIM is to use satellite imagery in order to provide an innovation to infrastructure monitoring of railways, electricity and pipelines. The product provides a solution which empowers the operators to save operational expenses by observing dangers from vegetation, height changes and third-party interactions along the network.

A consortium consisting of Arthur D. Little, CLS and Marlink are performing a study on how space-based technologies can be leveraged in the modernization of ports. The study includes a full range of Space-based technologies including satellite communications GNSS, SAT-AIS and Earth Observation and how these technologies could be applied in combination with terrestrial assets.

The EuroSIM CBRN Project aims to develop the UrbanAware Incident Modelling Platform to provide lifesaving CBRNe/HazMat situational awareness and decision support.

The AgroRadar solution help farmers to be “Farm to Fork” compliant boosting agronomic processes optimizations.

UrbanAI for green buildings is a data fusion tool to model close to real time green buildings or city states in terms of environment, emissions, energy consumption, traffic, all in one place. UrbanAI can be tailored to any area of interest on the Earth. Software goes beyond data fusion and has embedded analytics functionalities such as time series & reporting possibilities, environmental/energy impact calculator.

AIDA-SHM (Artificial Intelligence Data Analyser – Structural Health Monitoring) is an IoT artificial intelligence software solution for monitoring and predicting the health of reinforced concrete structures.