EO4EU Open-Source Repositories

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Auteur principal: European Centre for Medium-Range Weather Forecasts
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2026
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author European Centre for Medium-Range Weather Forecasts
author_facet European Centre for Medium-Range Weather Forecasts
contents <p>The EO4EU project is committed to fostering transparency, collaboration, and innovation in Earth Observation (EO) data processing. As part of this effort, we have open-sourced the EO4EU platform components developed during the project to make them accessible to all stakeholders. </p> <p>The EO4EU platform enables users to retrieve and process data from heterogeneous data sources, supporting advanced workflows for EO data exploitation. These components include: </p> <p>• Knowledge Graph – to search and link EO data from heterogeneous data sources. </p> <p>• Machine Learning Processing Components – enabling automated analysis and predictive modelling, based on EO4EU use cases. </p> <p>• Orchestration Components – managing workflows and resource allocation across the platform.  </p> <p>• User Interfaces – providing different means to access the EO data and services provided by the EO4EU platform. </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18256012
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle EO4EU Open-Source Repositories
European Centre for Medium-Range Weather Forecasts
EO4EU
Open-Source
Repositories
<p>The EO4EU project is committed to fostering transparency, collaboration, and innovation in Earth Observation (EO) data processing. As part of this effort, we have open-sourced the EO4EU platform components developed during the project to make them accessible to all stakeholders. </p> <p>The EO4EU platform enables users to retrieve and process data from heterogeneous data sources, supporting advanced workflows for EO data exploitation. These components include: </p> <p>• Knowledge Graph – to search and link EO data from heterogeneous data sources. </p> <p>• Machine Learning Processing Components – enabling automated analysis and predictive modelling, based on EO4EU use cases. </p> <p>• Orchestration Components – managing workflows and resource allocation across the platform.  </p> <p>• User Interfaces – providing different means to access the EO data and services provided by the EO4EU platform. </p>
title EO4EU Open-Source Repositories
topic EO4EU
Open-Source
Repositories
url https://doi.org/10.5281/zenodo.18256012