Admin at 13:45, 22 April 2026

2026-04-22T13:45:44Z

← Older revision		Revision as of 13:45, 22 April 2026
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	=== Project description ===		=== Project description ===
	Vast amounts of data are produced each day and become available via various channels, significantly enhancing our lives. The EU-funded EO4EU project will focus on Earth observation (EO) data, aiming to make it accessible to a larger audience, from professionals to citizens. To that end, it will deliver a set of advanced tools and methods leveraging AI and the FAIR data principles that will bridge the gap between domain experts and end users, encouraging wider EO data exploitation. Serverless data processing will further boost the EO data market, allowing comprehensible information modelling for a broad range of data.		Vast amounts of data are produced each day and become available via various channels, significantly enhancing our lives. The EU-funded EO4EU project will focus on Earth observation (EO) data, aiming to make it accessible to a larger audience, from professionals to citizens. To that end, it will deliver a set of advanced tools and methods leveraging AI and the FAIR data principles that will bridge the gap between domain experts and end users, encouraging wider EO data exploitation. Serverless data processing will further boost the EO data market, allowing comprehensible information modelling for a broad range of data.

			=== Project outputs ===
			==== Publications ====
			{\| class="wikitable sortable"
			! Domain !! Type of output !! Title !! DOI URL
			\|-
			\| AI, Machine Learning & Data Science \|\| Other \|\| Enhancing Kubernetes Resilience through Anomaly Detection and Prediction \|\| https://doi.org/10.48550/ARXIV.2503.14114
			\|-
			\| AI, Machine Learning & Data Science \|\| Other \|\| Earth Observation Data Management: A Knowledge Graph-Based Approach \|\| https://doi.org/10.1007/978-981-97-8598-8_4
			\|-
			\| Cybersecurity, Privacy & Blockchain \|\| Conference proceedings \|\| An Unsupervised Anomaly-Based Detection System for Microservices Applications on Kubernetes \|\| https://doi.org/10.1109/ISORC65339.2025.00032
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Book chapters \|\| EO4EU - AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation \|\| https://doi.org/10.2777/167982
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Copernicus data and services uptake with EO4EU platform: an AI-augmented ecosystem for Earth Observation data accessibility and exploitation. \|\| https://doi.org/10.5194/EGUSPHERE-EGU25-10683
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Environmental plague monitoring : Desert Locust prediction with artificial intelligence and stochastic model \|\| https://doi.org/10.5194/EGUSPHERE-EGU25-1720
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Land cover and management factor in soil erosion assessments: where do we stand and where are we going? \|\| https://doi.org/10.5194/EGUSPHERE-EGU25-15855
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Assessing Associations Between Pollen Resilience Index Forecast Values and Allergic Health Symptoms Induced by Aeroallergens \|\| https://doi.org/10.5194/EGUSPHERE-EGU25-12519
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Horizon projects using environmental observations and artificial intelligence for the benefit of science and society \|\| https://doi.org/10.2777/167982
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Simplifying EO Application Development Through A Domain Specific Language \|\| https://doi.org/10.1109/IGARSS53475.2024.10641829
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| A Replicable Multi-Cloud Automation Architecture for Earth Observation \|\| https://doi.org/10.5194/EGUSPHERE-EGU24-1857
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Earth Observation Data Management: A Knowledge Graph-Based Approach \|\| https://doi.org/10.1007/978-981-97-8598-8_4
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EO4EU - AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation \|\| https://doi.org/10.5194/EGUSPHERE-EGU23-5038
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EO4EU - AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation \|\| https://doi.org/10.2760/46796
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EO4EU: AI-augmented ecosystem for EO data accessibility with XR User Interfaces for Service and Data Exploitation \|\| https://doi.org/10.5446/58269
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EuroGEO 2024 Poster: EO4EU - AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation \|\| https://doi.org/10.5281/zenodo.15020161
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Machine Learning tools and systems support for EO data processing and applications (OEMC Workshop) \|\| https://doi.org/10.2760/45471
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EO4EU - AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation \|\| https://doi.org/10.5194/egusphere-egu23-5038
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| EuroGEO 2022 Poster: EO4EU: AI-augmented ecosystem for EO data accessibility with XR User Interfaces for Service and Data Exploitation \|\| https://doi.org/10.5281/zenodo.7970986
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Conference proceedings \|\| Environmental plague monitoring: desert locust prediction with artificial intelligence and stochastic model \|\| https://doi.org/10.5281/zenodo.15020363
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Other \|\| Enhancing EO Data Accessibility: Policy Recommendations and Insights from EO4EU Platform \|\| https://doi.org/10.5281/ZENODO.15011162
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Peer reviewed articles \|\| Simulation of climate change and thinning effects on Central European beech forests using 3-PGmix \|\| https://doi.org/10.1007/S10342-025-01851-9
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Peer reviewed articles \|\| European pollen reanalysis, 1980–2022, for alder, birch, and olive \|\| https://doi.org/10.1038/S41597-024-03686-2
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Peer reviewed articles \|\| Monthly to seasonal rainfall erosivity over Italy: Current assessment by empirical model and future projections by EURO-CORDEX ensemble \|\| https://doi.org/10.1016/J.CATENA.2023.106943
			\|-
			\| Earth Observation, Environment & Smart Cities \|\| Peer reviewed articles \|\| Enhancing precision in coastal dunes vegetation mapping: ultra-high resolution hierarchical classification at the individual plant level \|\| https://doi.org/10.1080/01431161.2024.2354135
			\|-
			\| Healthcare, Medicine & Accessibility \|\| Peer reviewed articles \|\| MASK-air: An OECD (Organisation for Economic Co-operation and Development) Best Practice for Public Health on Integrated Care for Chronic Diseases \|\| https://doi.org/10.1016/J.JAIP.2024.03.024
			\|-
			\| Healthcare, Medicine & Accessibility \|\| Peer reviewed articles \|\| Changes in pollen season duration and their relationship with meteorological conditions in Lithuania \|\| https://doi.org/10.1016/J.AEAOA.2025.100397
			\|}

			==== Technological assets ====
			{\| class="wikitable sortable"
			! Title !! Type of Asset !! Link / DOI !! Description
			\|-
			\| European pollen reanalysis, 1980-2022, for alder, birch, and olive, v.1.1 \|\| Dataset \|\| https://doi.org/10.1038/S41597-024-03686-2 \|\| An extensive dataset providing pollen reanalysis (alder, birch, and olive) across Europe.
			\|}

Admin: Created page with "=== EO4EU Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/101060784 || 01/06/2022 || 31/05/2025 || ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON / Greece |} === Project description === Vast amounts of data are produced each day and become available via various channels, significantly enhancing our lives. The EU-funded EO4EU project will focus on Earth observat..."

2025-03-04T14:07:19Z

Created page with "=== EO4EU Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/101060784 || 01/06/2022 || 31/05/2025 || ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON / Greece |} === Project description === Vast amounts of data are produced each day and become available via various channels, significantly enhancing our lives. The EU-funded EO4EU project will focus on Earth observat..."

New page

=== EO4EU Project ===
{| class='wikitable' style='margin:auto'
|-
! CORDIS Reference !! Start date !! End date !! Coordinator
|-
| https://cordis.europa.eu/project/id/101060784 || 01/06/2022 || 31/05/2025 || ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON / Greece
|}
=== Project description ===
Vast amounts of data are produced each day and become available via various channels, significantly enhancing our lives. The EU-funded EO4EU project will focus on Earth observation (EO) data, aiming to make it accessible to a larger audience, from professionals to citizens. To that end, it will deliver a set of advanced tools and methods leveraging AI and the FAIR data principles that will bridge the gap between domain experts and end users, encouraging wider EO data exploitation. Serverless data processing will further boost the EO data market, allowing comprehensible information modelling for a broad range of data.

EO4EU - Revision history

Admin at 13:45, 22 April 2026