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

Informazioni relative al progetto

AI-OBSERVER

ID dell’accordo di sovvenzione: 101079468

DOI

10.3030/101079468

Progetto chiuso

Data della firma CE 3 Agosto 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 1 489 379,25

Contributo UE

€ 1 489 379,00

Coordinato da

ERATOSTHENES CENTRE OF EXCELLENCE
Cyprus

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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).

Pubblicazioni

Other (1)

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

Autori: United Nations Office for Outer Space Affairs (UNOOSA)
Pubblicato in: AI for Good Global Summit 2025, 2025
Editore: 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

Autori: De Santis, Davide; Settembre, Daniele; Cappelli, Dario; Tzouvaras, Marios; Schiavon, Giovanni; Del Frate, Fabio
Pubblicato in: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Editore: 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

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

Empirical Analysis of Oil Spill Detection Methods

Autori: Eleftheria Kalogirou, Michalis Mavrovouniotis, Marios Tzouvaras, Christodoulos Mettas, Evagoras Evagorou, Diofantos Hadjimitsis
Pubblicato in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Editore: IEEE
DOI: 10.1109/IGARSS53475.2024.10642731

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

Autori: Maria Prodromou, Stella Girtsou, George Leventis, Georgia Charalampous, Alexis Apostolakis, Marios Tzouvaras, Christodoulos Mettas, Giorgos Giannopoulos, Charalampos Kontoes, Diofantos Hadjimitsis
Pubblicato in: COMECAP 2025, 2025
Editore: 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

Autori: Marios Tzouvaras, Gerd Reis, Fabio Del Frate, Haris Zacharatos, Diofantos Hadjimitsis
Pubblicato in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Editore: 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

Autori: Eleni Loulli, Silas Michaelides, Giorgia Guerrisi, Diofantos G. Hadjimitsis
Pubblicato in: COMECAP 2025, 2025
Editore: MDPI
DOI: 10.3390/EESP2025035073

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

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

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

Autori: Gjerazi, Ari; La Pegna, Valeria; Del Frate, Fabio
Pubblicato in: Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI, 2025
Editore: SPIE
DOI: 10.1117/12.3071414

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

Autori: Eleftheria Kalogirou, Konstantinos Christofi, Despoina Makri, Muhammad Amjad Iqbal, Valeria La Pegna, Marios Tzouvaras, Christodoulos Mettas, Diofantos Hadjimitsis
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLVIII-G-2025, 2025, ISSN 2194-9034
Editore: 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

Autori: Cappelli, Dario; Petracca, Ilaria; Del Frate, Fabio; Tzouvaras, Marios
Pubblicato in: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Editore: IEEE
DOI: 10.1109/IGARSS55030.2025.11243328

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

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

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

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

Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments

Autori: Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos Handjimitsis
Pubblicato in: 2024 IEEE Congress on Evolutionary Computation (CEC), 2024
Editore: 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

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

Spatiotemporal diffusion model for satellite imagery

Autori: Prathap Nagaraj Kashyap, Alireza Javanmardi, Pragati Jaiswal, Gerd Reis, Alain Pagani, Didier Stricker
Pubblicato in: Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025), 2025
Editore: 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

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

Estimation of crop yield using deep learning for precision agriculture

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

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

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

An Empirical Study of Regression Algorithms for Soil Organic Matter Prediction

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

Peer reviewed articles (6)

Seagrass Mapping in Cyprus Using Earth Observation Advances

Autori: Despoina Makri, Spyridon Christofilakos, Dimitris Poursanidis, Dimosthenis Traganos, Christodoulos Mettas, Neophytos Stylianou, Diofantos Hadjimitsis
Pubblicato in: Remote Sensing, Numero 17, 2025, ISSN 2072-4292
Editore: 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)

Autori: Constantinos F. Panagiotou, Charalampos Konstantinou, Anis Chekirbane
Pubblicato in: Groundwater for Sustainable Development, Numero 27, 2024, ISSN 2352-801X
Editore: 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

Autori: Demetris Christofi, Christodoulos Mettas, Evagoras Evagorou, Neophytos Stylianou, Marinos Eliades, Christos Theocharidis, Antonis Chatzipavlis, Thomas Hasiotis, Diofantos Hadjimitsis
Pubblicato in: Applied Sciences, Numero 15, 2025, ISSN 2076-3417
Editore: 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

Autori: Constantinos F. Panagiotou, Giorgia Guerrisi, Davide De Santis, Fabio Del Frate, Marios Tzouvaras
Pubblicato in: Journal of Hydrology: Regional Studies, Numero 63, 2026, ISSN 2214-5818
Editore: Elsevier BV
DOI: 10.1016/J.EJRH.2025.103075

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

Autori: Michalis Mavrovouniotis*, Maria N. Anastasiadou, Diofantos Hadjimitsis
Pubblicato in: Algorithms, 2023, ISSN 1999-4893
Editore: MDPI Open Access Publishing
DOI: 10.3390/a16120545

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

Autori: Michalis Mavrovouniotis, Maria N. Anastasiadou, Diofantos Hadjimitsis
Pubblicato in: Algorithms, Numero 16, 2025, ISSN 1999-4893
Editore: MDPI AG
DOI: 10.3390/A16120545