Enhancing Earth Observation capabilities of the Eratosthenes Centre of Excellence on Disaster Risk Reduction through Artificial Intelligence

Informations projet

AI-OBSERVER

N° de convention de subvention: 101079468

DOI

10.3030/101079468

Projet clôturé

Date de signature de la CE 3 Août 2022

Date de début 1 Octobre 2022

Date de fin 30 Septembre 2025

Financé au titre de

• Widening participation and spreading excellence

Coût total

€ 1 489 379,25

Contribution de l’UE

€ 1 489 379,00

Coordonné par

ERATOSTHENES CENTRE OF EXCELLENCE
Cyprus

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (2)

AI-EO Risk Assessment of environmental hazards in Cyprus

A assessment of environmental hazards in Cyprus utilising the six developed AI-EO risk assessment models (earthquakes, landslides, soil erosion, forest fires, floods, marine pollution), using AI-assisted data fusion techniques, and AI modules that will be designed to identify the relevant changes.

EO Big Data AI management platform

A platform that will be developed to handle all the multi-source data EO inputs (text, optical/SAR images), specifying what data the project will generate, if and how they will be exploited and/or made accessible for verification & re-use, and how will be curated & preserved. APIs (Application programming interfaces) will be created and used as the building block of retrieving this data into the system.

Documents, reports (9)

Report on staff exchange and expert visits outcomes

A collection of training material provided by the advanced partners in all the selected topics after the completion of the mutual secondments, and results from close collaboration. Moreover, it will include material from the lectures given on AI, and Research Management and Administration during the expert visits.

Dissemination and exploitation plan

A report that will present the guidelines for he dissemination and exploitation activities of the project, and will include a set of Key Performance Indicators (KPIs) to assess the achievement of the goals set previously.

Report on summer schools’ outcomes

A collection of training material provided by the advanced partners in all the selected topics after the completion of the summer schools. Results from joint activities will also be presented.

Material from workshops

A collection of all training material provided by the advanced partners in the selected topics after the completion of each AI-based and Research Management and Administration workshop.

Current and emerging trends on AI for EO related research

A state-of-the-art review to identify the most recent advancements in the field of AI for EO and the best practices worldwide for the integration of AI with the research area of Disaster Risk Reduction of the ECoE. Upcoming synergies between AI and EO experts through European and International Space programmes and Agencies, such as ESA, NASA, DLR, and the Copernicus Programme, will be also included.

Quality Assurance plan

A plan for the quality assurance procedure implemented by the Quality Assurance team, consisting of experts in the fields of EO and AI, i.e. Prof. D. Hadjimitsis (ECoE), Dr A. Pagani (DFKI), and Prof. F. Del Frate (UNITOV), for all project deliverables.

Risk assessment and contingency plan

A report, that will include all the potential risks and the respective mitigation actions, will be developed at the project start (M3), and will be frequently updated, throughout the project’s duration, to accommodate all immerging issues, as their occurrence likelihood and/ or impact severity might change.

Report on outreach activities

A report that will include project related articles in newspapers or magazines, material from public lectures, lectures to University students, schools, etc., and an open to public, one-day final workshop for stakeholders, relevant authorities, and the public.

Material from webinars

A collection of all training material provided by the advanced partners in the selected topics after the completion of each AI-based and Research Management and Administration webinar.

Websites, patent fillings, videos etc. (3)

AI-OBSERVER project’s website and logo

The AI-OBSERVER website, equipped with a security area, will be developed and maintained by CLK in close collaboration with the coordinator, with the participation of all partners. It will provide an overview of the project, promote project’s objectives, dissemination activities, e-newsletters, and results to wider audiences. A project logo will also be created by CLK.

Electronic newsletters and brochure

Three annual electronic newsletters and a project brochure in electronic format will be developed to communicate/disseminate the project's overview, goals, news, upcoming events, etc. All these will be accessible through the project's website.

Publications (journals and conference papers)

A report that will include all publications in conferences and peer-reviewed journals, as well as participations in conferences via presentations and/or posters during the project.

Data Management Plan (1)

Data Management Plan

A report that will describes the data management life cycle for the data to be collected, processed and/or generated by the project. The DMP will include information on the handling of research data during and after the end of the project; the data that will be collected, processed and/or generated; the methodology that will be applied; the data accessibility, curation and preservation (including after the end of the project).

Publications

Other (1)

Mapping Disaster Resilience: GeoAI Best Practices from the UN-SPIDER Network, AI for Good Global Summit 2025

Auteurs: United Nations Office for Outer Space Affairs (UNOOSA)
Publié dans: AI for Good Global Summit 2025, 2025
Éditeur: AI for Good Global Summit 2025

Conference proceedings (19)

Identifying Unhealthy Islands in Urban Areas Due to Spatial Overlap of High Temperatures and Air Pollution

Auteurs: De Santis, Davide; Settembre, Daniele; Cappelli, Dario; Tzouvaras, Marios; Schiavon, Giovanni; Del Frate, Fabio
Publié dans: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Éditeur: IEEE
DOI: 10.1109/IGARSS55030.2025.11242630

Enhancing disaster risk reduction through artificial intelligence: capitalizing on the capacity building activities of the AI-OBSERVER twinning project

Auteurs: Marios Tzouvaras, Michalis Mavrovouniotis, Renos Votsis, Kyriaki Fotiou, Eleftheria Kalogirou, Thomaida Polydorou, Gerd Reis, Fabio Del Frate, Lorenzo Giuliano Papale, Giorgia Guerrisi, Diofantos Hadjimitsis
Publié dans: Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 2024
Éditeur: SPIE
DOI: 10.1117/12.3037135

Empirical Analysis of Oil Spill Detection Methods

Auteurs: Eleftheria Kalogirou, Michalis Mavrovouniotis, Marios Tzouvaras, Christodoulos Mettas, Evagoras Evagorou, Diofantos Hadjimitsis
Publié dans: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Éditeur: IEEE
DOI: 10.1109/IGARSS53475.2024.10642731

Spatiotemporal Analysis of Forest Fires in Cyprus Using Earth Observation and Climate Data

Auteurs: Maria Prodromou, Stella Girtsou, George Leventis, Georgia Charalampous, Alexis Apostolakis, Marios Tzouvaras, Christodoulos Mettas, Giorgos Giannopoulos, Charalampos Kontoes, Diofantos Hadjimitsis
Publié dans: COMECAP 2025, 2025
Éditeur: MDPI
DOI: 10.3390/EESP2025035054

Enhancing Earth Observation Capabilities of the Eratosthenes Centre of Excellence on Disaster Risk Reduction Through Artificial Intelligence: Introducing the AI-OBSERVER Project

Auteurs: Marios Tzouvaras, Gerd Reis, Fabio Del Frate, Haris Zacharatos, Diofantos Hadjimitsis
Publié dans: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Éditeur: IEEE
DOI: 10.1109/IGARSS53475.2024.10640751

A Dual Neural Network Framework for Correcting X-Band Radar Reflectivity and Estimating Rainfall Using GPM DPR and Rain Gauge Observations in Cyprus

Auteurs: Eleni Loulli, Silas Michaelides, Giorgia Guerrisi, Diofantos G. Hadjimitsis
Publié dans: COMECAP 2025, 2025
Éditeur: MDPI
DOI: 10.3390/EESP2025035073

Artificial intelligence and Earth observation towards disaster risk reduction: the AI-OBSERVER’s research exploratory project

Auteurs: Tzouvaras, Marios; Votsis, Renos; Fotiou, Kyriaki; Prodromou, Maria; Panagiotou, Constantinos; Kalogirou, Eleftheria; Christofi, Demetris A.D.; Reis, Gerd; Del Frate, Fabio; Zacharatos, Haris; Hadjimi
Publié dans: Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025), 2025
Éditeur: SPIE
DOI: 10.1117/12.3075493

Synthesis of PRISMA data from Landsat 8 or 9 data using machine learning tools

Auteurs: Gjerazi, Ari; La Pegna, Valeria; Del Frate, Fabio
Publié dans: Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI, 2025
Éditeur: SPIE
DOI: 10.1117/12.3071414

Oil Spill Detection using Convolutional Neural Networks and Sentinel-1 SAR Imagery

Auteurs: Eleftheria Kalogirou, Konstantinos Christofi, Despoina Makri, Muhammad Amjad Iqbal, Valeria La Pegna, Marios Tzouvaras, Christodoulos Mettas, Diofantos Hadjimitsis
Publié dans: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numéro XLVIII-G-2025, 2025, ISSN 2194-9034
Éditeur: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-G-2025-757-2025

A Data Fusion Approach to Enhance Satellite Precipitation Product Using Ground-Based Radar

Auteurs: Cappelli, Dario; Petracca, Ilaria; Del Frate, Fabio; Tzouvaras, Marios
Publié dans: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Éditeur: IEEE
DOI: 10.1109/IGARSS55030.2025.11243328

Comparison of Novel Classical and Developed AI Techniques for SAR Oil Spill Detection

Auteurs: Iqbal, Muhammad Amjad; Kalogirou, Eleftheria; Makri, Despina; Mettas, Christodoulos; Tzouvaras, Marios; Hadjimitsis, Diofantos G.
Publié dans: 2025 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2025
Éditeur: IEEE
DOI: 10.1109/MIGARS67156.2025.11231923

Remote Sensing of Grasslands: Performance Comparison of Radar and Optical Data in Machine Learning Classification

Auteurs: Konstantinos Christofi, Charalambos Chrysostomou, Iason Tsardanidis, Michalis Mavrovouniotis, Giorgia Guerrisi, Charalampos Kontoes, Diofantos G. Hadjimitsis
Publié dans: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numéro XLVIII-G-2025, 2025, ISSN 2194-9034
Éditeur: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-G-2025-295-2025

Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments

Auteurs: Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos Handjimitsis
Publié dans: 2024 IEEE Congress on Evolutionary Computation (CEC), 2024
Éditeur: IEEE
DOI: 10.1109/CEC60901.2024.10612135

Enhancing Earth Observation Capabilities of the ERATOSTHENES Centre of Excellence on Disaster Risk Reduction through Artificial Intelligence: The AI-OBSERVER Horizon Europe Twinning Project

Auteurs: Marios Tzouvaras*, Kyriacos Themistocleous, Kyriacos Neocleous, Gerd Reis, Fabio Del Frate, Giovanni Schiavon, Haris Zacharatos, Eleftheria Kouppari and Diofantos G. Hadjimitsis
Publié dans: Ninth International Conference on Remote Sensing and Geoinformation of Environment (RSCy2023), 2023, ISBN 978-9963-697-44-1
Éditeur: RSCy2023-SPIE

Spatiotemporal diffusion model for satellite imagery

Auteurs: Prathap Nagaraj Kashyap, Alireza Javanmardi, Pragati Jaiswal, Gerd Reis, Alain Pagani, Didier Stricker
Publié dans: Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025), 2025
Éditeur: SPIE
DOI: 10.1117/12.3073127

A GIS-based multi-criteria decision analysis framework for landslide risk assessment: a case study in Amathounta, Limassol, Cyprus

Auteurs: Marina Doukanari, Marios Tzouvaras, Kyriaki Fotiou, Neophytos Stylianou, Christodoulos Mettas, Diofantos Hadjimitsis
Publié dans: Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025), 2025
Éditeur: SPIE
DOI: 10.1117/12.3075513

Estimation of crop yield using deep learning for precision agriculture

Auteurs: Stelios P. Neophytides, Giorgia Guerissi, Michalis Mavrovouniotis, Marios Tzouvaras, Fabio Del Frate, Diofantos G. Hadjimitsis
Publié dans: Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 2024
Éditeur: SPIE
DOI: 10.1117/12.3037319

Prediction of Groundwater Salinization Using Particle Swarm Optimization for Neural Network Training

Auteurs: Stelios P. Neophytides, Michalis Mavrovouniotis, Constantinos F. Panagiotou, Marinos Eliades, Anis Chekirbane, Diofantos Hadjimitsis
Publié dans: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Éditeur: IEEE
DOI: 10.1109/IGARSS53475.2024.10641861

An Empirical Study of Regression Algorithms for Soil Organic Matter Prediction

Auteurs: Eleni Neofytou, Stelios P. Neophytides, Michalis Mavrovouniotis, Marinos Eliades, Christiana Papoutsa, Diofantos G. Hadjimitsis
Publié dans: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Éditeur: IEEE
DOI: 10.1109/IGARSS53475.2024.10642115

Peer reviewed articles (6)

Seagrass Mapping in Cyprus Using Earth Observation Advances

Auteurs: Despoina Makri, Spyridon Christofilakos, Dimitris Poursanidis, Dimosthenis Traganos, Christodoulos Mettas, Neophytos Stylianou, Diofantos Hadjimitsis
Publié dans: Remote Sensing, Numéro 17, 2025, ISSN 2072-4292
Éditeur: MDPI AG
DOI: 10.3390/RS17213610

A generalized machine learning approach for cost-effective monitoring of irrigation suitability: A demonstration case in El Fahs aquifer (Tunisia)

Auteurs: Constantinos F. Panagiotou, Charalampos Konstantinou, Anis Chekirbane
Publié dans: Groundwater for Sustainable Development, Numéro 27, 2024, ISSN 2352-801X
Éditeur: Elsevier BV
DOI: 10.1016/J.GSD.2024.101324

A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring

Auteurs: Demetris Christofi, Christodoulos Mettas, Evagoras Evagorou, Neophytos Stylianou, Marinos Eliades, Christos Theocharidis, Antonis Chatzipavlis, Thomas Hasiotis, Diofantos Hadjimitsis
Publié dans: Applied Sciences, Numéro 15, 2025, ISSN 2076-3417
Éditeur: MDPI AG
DOI: 10.3390/APP15094771

Investigating the mechanisms of flood susceptibility with the use of multi-basin machine learning models in data-scarce environments in Cyprus

Auteurs: Constantinos F. Panagiotou, Giorgia Guerrisi, Davide De Santis, Fabio Del Frate, Marios Tzouvaras
Publié dans: Journal of Hydrology: Regional Studies, Numéro 63, 2026, ISSN 2214-5818
Éditeur: Elsevier BV
DOI: 10.1016/J.EJRH.2025.103075

Measuring the performance of ant colony optimization algorithms for the dynamic traveling salesman problem

Auteurs: Michalis Mavrovouniotis*, Maria N. Anastasiadou, Diofantos Hadjimitsis
Publié dans: Algorithms, 2023, ISSN 1999-4893
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/a16120545

Measuring the Performance of Ant Colony Optimization Algorithms for the Dynamic Traveling Salesman Problem

Auteurs: Michalis Mavrovouniotis, Maria N. Anastasiadou, Diofantos Hadjimitsis
Publié dans: Algorithms, Numéro 16, 2025, ISSN 1999-4893
Éditeur: MDPI AG
DOI: 10.3390/A16120545