AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation.

Duration: 01/06/2022 – 31/05/2025  |   Total Funding: € 9,065,033 €

Challenges

The rapid growth of Earth Observation (EO) data, especially in the last decade, combined with the ever-increasing development of analytical theories and tools, has generated a wide range of practical applications covering land, maritime, climate change and atmospheric monitoring.

However, despite the significant volume and plethora of EO data offered from current EU services and repositories, their access has not been yet extended beyond experts and scientists to the wider industry to deliver tangible applications that improve our health and lives and protect the planet. Therefore, high-value EO information remains unexploited, it is often fragmented, complex, diverse, and difficult to find, retrieve, download and process. Users must have some kind of domain expertise to find, access, and understand how to pre-process data, find storage solutions and transform data into useful formats for analytics and Geographic Information Systems.

Project Objectives

To overcome these challenges, the EO4EU project focuses on the key objectives:

1

To design and deploy a holistic Data Operation (DataOps) ecosystem to enhance access and usability of environmental observation information.

2

To deploy a semantic-enhanced knowledge graph that augments the FAIRness of EO data knowledge and supports a sophisticated representation of data entities and their dynamics.

3

To advance stakeholders’ knowledge capacity through informed decision-making and policy-making support.

4

To design and deploy a machine learning pipeline that enables the dynamic annotation of the various environmental observation data sources.

5

To implement and validate EO4EU in a full range of use case scenarios addressing current data needs, capitalizing existing digital services and platforms, fostering their usability and practicality, taking into account ethical aspects aiming to social impact maximization.

6

To deploy efficient, reliable and interoperable inter- and intra- layer communications.

7

Wide communication, scientific dissemination and vertical exploitation of scientific results & outputs.

Role in the Project

eBOS is the leading partner of the Work Package dedicated to ‘Requirements Elicitation and Conceptual Framework Specification’. In collaboration with the consortium partners, eBOS will assess and extract user requirements and system characteristics related to the pilots.

eBOS will also contribute to the detailed analysis of the various research areas in each of the fields in which the EO4EU project aims to base its innovation strategy. In addition, eBOS will deploy Customer-Facing Services that will focus on the development of the front-end of the EO4EU DataOps Ecosystem, and will offer advanced Graphical user Interfaces at all stages of the data lifecycle. The EO4EU DataOps Ecosystem will integrate a plethora of EO data for monitoring and simulating natural and human activity, as well as develop and validate scenarios that would enable more sustainable development and support European environmental policies. Therefore, eBOS will define and promote innovative tools, methodologies and approaches aiming to assist a wide spectrum of users, from domain experts and professionals to citizens, to benefit from EO data. eBOS will also set up and integrate the service-oriented architecture of the DataOps Ecosystem, and with the contribution of the project consortium will ensure that the data collected from various data pools will be stored successfully so that users can access them effectively, and that continuous integration will be taking place.

Finally, eBOS will contribute to the Quality Assurance and Risk Management tasks and dissemination and communication activities towards achieving the project objectives.

The project has received funding from Horizon Europe under grant agreement No.101060784.