Improving Resilience to Emergencies through Advanced Cyber Technologies

Risultati finali

Initial materials for the communication actions including public website, logo, infographics and application explainer animation. This deliverable will be updated periodically until M35.

Project video and final presentation

It delivers a multi-language final audio visual presentation of the project and a final presentation for public communication.

Open Data and historical products module

It deliver a software prototype to show the open data and historical derived products.

Report on Communication, Dissemination and User Engagement - Issue 1

It summarizes all communication, dissemination and engagement activities once per year.

Final Report

It reports on the activities carried out during the project and provides a publishable summary of the project.

Report on the system demonstration

It reports results from validation and testing activities.

Report on EGNSS integration

It reports the design of the Augmentation Module for the exploitation of Galileo positioning capabilities EGNOS/EDAS data integrity features.

Report on Communication, Dissemination and User Engagement - Issue 2

It summarizes all communication, dissemination and engagement activities once per year

Report on Open Data and Historical Events Data integration

It reports the design and implementation details of interface toward external Open Data services and the cloud database that will store historical data for post-processing analysis of past disasters.

Report on Technical Requirements and Overall System Architecture

It defines the technical requirements in T2.9 and the I-REACT Overall System Architecture.

Report on Emergency Management Systems, European Early Warning Systems and Sentinel data integration

It reports the design and implementation details of interface toward external data sources such as Copernicus EMS, European Flood & Fire Systems, local EMS and Sentinel data.

Initial Plan on Dissemination, Communication and User Engagement

It includes the plan of all the dissemination, communication and users engagement activities that will be realized, including a scouting of relevant conferences, workshops, events and journals aligned with the project scopes.

I-REACT System documentation and training pack

It reports the overall system documentation and material for training and dissemination.

Report on Models and Engines

It reports the definition of system models linked to weather forecast, climate change, geospatial risk, hazard nowcast & forecast and the design of social media engines and decision support system features.

Report on Gamification and engagement

It defines the gamification approach that will be adopted in the project for the citizens awareness and engagement.

Report on Cost-Benefit Analysis

Cost Benefit Analysis.

Report on Users and Stakeholders requirements analysis, operational procedures, processes and scenarios

It reports on the outcomes of the users and stakeholders analysis, providing the identified needs from the users and stakeholders’ perspective. The reports also includes an overview of the operational procedures and practices currently adopted by users to perform an effective winter maintenance.

Report on Multi Hazard requirements analysis

It reports on the analysis of requirements in a multi-hazard management system

Report on design of the Big Data Architecture, Linked Data & Semantic Structure

It reports the feasibility analysis of the Big Data architecture for data collection and processing, the analysis of semantic models and technologies for data analysis.

Final International Conference

Dissemination through UNESCO channels with an international event on climate change and emergency.

Report on Communication, Dissemination and User Engagement - Issue 3

It summarizes all communication, dissemination and engagement activities once per year

Report on Data Visualization Design

It reports the detailed specifications of web interfaces and data visualization techniques and tools.

Data Management Plan

It defines the guidelines for data management in order to ensure a high level of data quality and accessibility for final users and stakeholders and to allow the application of data analytics techniques.

Pubblicazioni

Forecasting European Wildfires Today and in the Future

Autori: Maria Navarro Abellan, Ignasi Porras, Josep Maria Sole, Pedro Gamez, Conrad Bielski and Pertti Nurmi
Pubblicato in: EGU General Assembly Conference Abstracts, Numero 19, 2017, Pagina/e 7924
Editore: Copernicus GmbH (Copernicus Publications)

Improving European Wildfire Emergency Information Services

Autori: Conrad Bielski, Ceri Whitmore, Victoria O’Brien, Gunter Zeug, Milan Kalas, Ignasi Porras, Josep Maria Solé, Pedro Gálvez, Maria Navarro, Pertti Nurmi, Juha Kilpinen, Kaisa Ylinen, Cesare Furllanelo, Valerio Maggio, Azra Alikadic, Claudia Dolci
Pubblicato in: EGU General Assembly Conference Abstracts, Numero 19, 2017, Pagina/e 17946
Editore: Copernicus GmbH (Copernicus Publications)

Calibrating ensemble weather forecasts for warnings of extreme weather events

Autori: Kaisa Ylinen, Juha Kilpinen
Pubblicato in: European Meteorological Society (EMS) Annual Meeting 2017, Numero 14, 2017, Pagina/e 85
Editore: Copernicus GmbH (Copernicus Publications)

River segmentation for flood monitoring

Autori: Laura Lopez-Fuentes, Claudio Rossi, Harald Skinnemoen
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3746-3749, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258373

SQL versus NoSQL databases for geospatial applications

Autori: Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3388-3397, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258324

Summarization of emergency news articles driven by relevance feedback

Autori: Luca Cagliero
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3713-3721, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258368

Analyzing spatial data from twitter during a disaster

Autori: Luca Venturini, Evelina Di Corso
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3779-3783, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258378

Quantifying and minimizing the impact of disasters on wireless communications

Autori: Francesco Malandrino, Carla Fabiana Chiasserini
Pubblicato in: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief - I-TENDER '17, 2017, Pagina/e 26-30, ISBN 9781-450354240
Editore: ACM Press
DOI: 10.1145/3152896.3152902

Co-design of a crowdsourcing solution for disaster risk reduction

Autori: Q. N. Nguyen, A. Frisiello, C. Rossi
Pubblicato in: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief - I-TENDER '17, 2017, Pagina/e 7-12, ISBN 9781-450354240
Editore: ACM Press
DOI: 10.1145/3152896.3152898

All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection

Autori: Evelina Di Corso, Francesco Ventura, Tania Cerquitelli
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3722-3726, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258369

Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management

Autori: C. Bielski, V. O'Brien, C. Whitmore, K. Ylinen, I. Juga, P. Nurmi, J. Kilpinen, I. Porras, J.M. Sole, P. Gamez, M. Navarro, A. Alikadic, A. Gobbi, C. Furlanello, G. Zeug, M. Weirathe, J. Martinez, R. Yuste, S. Castro, V. Moreno, T. Velin, C. Rossi
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3705-3712, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258367

A heat wave forecast system for Europe

Autori: Andrea Gobbi, Azra Alikadic, Kaisa Ylinen, Federico Angaramo, Cesare Furlanello
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3734-3738, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258371

A language-agnostic approach to exact informative tweets during emergency situations

Autori: Jacopo Longhini, Claudio Rossi, Claudio Casetti, Federico Angaramo
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3739-3475, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258372

The role of unstructured data in real-time disaster-related social media monitoring

Autori: Francesco Tarasconi, Michela Farina, Antonio Mazzei, Alessio Bosca
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3769-3778, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258377

Filtering informative tweets during emergencies - a machine learning approach

Autori: Flavia Sofia Acerbo, Claudio Rossi
Pubblicato in: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief - I-TENDER '17, 2017, Pagina/e 1-6, ISBN 9781-450354240
Editore: ACM Press
DOI: 10.1145/3152896.3152897

Gamified crowdsourcing for disaster risk management

Autori: Antonella Frisiello, Quynh Nhu Nguyen, Claudio Rossi
Pubblicato in: 2017 IEEE International Conference on Big Data (Big Data), 2017, Pagina/e 3727-3733, ISBN 978-1-5386-2715-0
Editore: IEEE
DOI: 10.1109/BigData.2017.8258370

Positioning integrity computation for consumer grade GNSS receivers

Autori: Gianluca Marucco, Davide Margaria
Pubblicato in: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief - I-TENDER '17, 2017, Pagina/e 18-23, ISBN 9781-450354240
Editore: ACM Press
DOI: 10.1145/3152896.3152900

Localization of emergency first responders using UWB/GNSS with cloud-based augmentation - short paper

Autori: S. Tadic, L. Vurdelja, M. Vukajlovic, Claudio Rossi
Pubblicato in: Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief - I-TENDER '17, 2017, Pagina/e 24-25, ISBN 9781-450354240
Editore: ACM Press
DOI: 10.1145/3152896.3152901

PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences

Autori: Alessandro Farasin, Paolo Garza
Pubblicato in: ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, 2018, Pagina/e 1081-1088, ISBN 978-0-692-12760-5
Editore: Rochester Institute of Technology

Calibrating Ensemble Forecasts to Produce More Reliable Probabilistic Extreme Weather Forecasts

Autori: Kaisa Ylinen, Juha Kilpinen
Pubblicato in: ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, 2018, Pagina/e 1089-1097, ISBN 978-0-692-12760-5
Editore: Rochester Institute of Technology

Online clustering and classification for real-time event detection in Twitter

Autori: Federico Angaramo, Claudio Rossi
Pubblicato in: ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, 2018, Pagina/e 1098-1107, ISBN 978-0-692-12760-5
Editore: Rochester Institute of Technology

Automated detection of wildfire areas using Sentinel-2 satellite imagery

Autori: Weirather, M., Zeug, G., Schneider, T.
Pubblicato in: GI-Forum Special Session: Participatory Disaster Management – Fusing Remote Sensing Data with User-generated Geo-data, 2018, Pagina/e 251-262, ISBN 978-3-7001-8359-4
Editore: Austrian Academy of Sciences Press

Deep Learning Models for Passability Detection of Flooded Roads

Autori: Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza
Pubblicato in: MediaEval 2018 Workshop, 2018, Pagina/e 1-3
Editore: CEUR-WS.org

The Design of a Mobile Application for Crowdsourcing in Disaster Risk Reduction

Autori: Nhu Nguyend, Quynh; Frisiello, Antonella; Rossi, Claudio
Pubblicato in: ISCRAM 2019 Conference Proceedings – 16th International Conference on Information Systems for Crisis Response and Management, 2019, Pagina/e 607-618, ISBN 978-84-09-10498-7
Editore: ISCRAM Digital Library

Multi-modal Deep Learning Approach for Flood Detection

Autori: Laura Lopez-Fuentes, Joost van de Weijer, Marc Bolaños, Harald Skinnemoen
Pubblicato in: MediaEval 2017 - Multimedia Benchmark Workshop, 2017
Editore: CEUR-WS.org

Scaling associative classification for very large datasets

Autori: Luca Venturini, Elena Baralis, Paolo Garza
Pubblicato in: Journal of Big Data, Numero 4/1, 2017, ISSN 2196-1115
Editore: Springer International Publishing
DOI: 10.1186/s40537-017-0107-2

Early detection and information extraction for weather-induced floods using social media streams

Autori: C. Rossi, F.S. Acerbo, K. Ylinen, I. Juga, P. Nurmi, A. Bosca, F. Tarasconi, M. Cristoforetti, A. Alikadic
Pubblicato in: International Journal of Disaster Risk Reduction, Numero 30, 2018, Pagina/e 145-157, ISSN 2212-4209
Editore: Elsevier Limited
DOI: 10.1016/j.ijdrr.2018.03.002

Methods to Remove the Border Noise From Sentinel-1 Synthetic Aperture Radar Data: Implications and Importance For Time-Series Analysis

Autori: Iftikhar Ali, Senmao Cao, Vahid Naeimi, Christoph Paulik, Wolfgang Wagner
Pubblicato in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numero 11/3, 2018, Pagina/e 777-786, ISSN 1939-1404
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2017.2787650

Planning UAV activities for efficient user coverage in disaster areas

Autori: Francesco Malandrino, Carla-Fabiana Chiasserini, Claudio Casetti, Luca Chiaraviglio, Andrea Senacheribbe
Pubblicato in: Ad Hoc Networks, Numero 89, 2019, Pagina/e 177-185, ISSN 1570-8705
Editore: Elsevier BV
DOI: 10.1016/j.adhoc.2019.04.001

Area formation and content assignment for LTE broadcasting

Autori: Claudio Casetti, Carla-Fabiana Chiasserini, Francesco Malandrino, Carlo Borgiattino
Pubblicato in: Computer Networks, Numero 126, 2017, Pagina/e 174-186, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2017.07.006

A service oriented cloud-based architecture for mobile geolocated emergency services

Autori: C. Rossi, M. H. Heyi, F. Scullino
Pubblicato in: Concurrency and Computation: Practice and Experience, Numero 29/11, 2017, Pagina/e e4051, ISSN 1532-0626
Editore: John Wiley & Sons Inc.
DOI: 10.1002/cpe.4051

Review on computer vision techniques in emergency situations

Autori: Laura Lopez-Fuentes, Joost van de Weijer, Manuel González-Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
Pubblicato in: Multimedia Tools and Applications, 2017, ISSN 1380-7501
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11042-017-5276-7

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