Abstract
The EO4EU project, funded by the European Commission, aims to revolutionize access to and utilization of Earth Observation (EO) data through the development of the EO4EU Platform. This platform, hosted at www.eo4eu.eu, integrates major EO data sources such as GEOSS, INSPIRE, Copernicus, Galileo, and DestinE, offering a suite of tools and services tailored for environmental, governmental, and business forecasting and operations in various domains including agriculture.
Key features of the EO4EU Platform include Data Analytics Visualization, Knowledge Graph-based Decision Making, an XR (extended reality) System, an AI/ML Marketplace, a Generic Machine Learning Pipeline for Semantic Annotation, Fusion Engine, and serverless Function as a Service (FaaS). These tools empower users to effortlessly discover, analyze, and visualize EO data, supported by machine learning algorithms for handling large data volumes.
The platform utilizes cloud computing infrastructure and pre-exascale high-performance computing to efficiently process EO data, while prioritizing user-friendly interfaces for intuitive data exploration, even incorporating extended reality technologies.
EO4EU introduces technical and scientific innovations such as enhanced image compression rates, reduced data volumes, custom services with minimal labeled data requirements, robust representations of EO data, and optimized data fusion in HPC and GPU environments. Moreover, the project emphasizes the development of customizable visualization tools, granular analytics, and responsive web interfaces to observe trends, correlations, and cause-and-effect relationships in EO data.
The poster will provide insights into the project's progress, including the adopted architecture, initial user survey findings regarding EO data access and discovery, and upcoming milestones. Early access to the platform will be offered, alongside discussions on challenges and opportunities in EO data utilization.