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Integrated Technological and Information Platform for wildfire Management

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Planning and delivery of training activities - Phase 1

D3.2: Planning and delivery of training activities, Phase 1 for fire fighters: Report on the curation of training activities delivered to the fire fighters along with the specification of AR/VR content developed. The modelling of fire dynamics will be achieved in consultation with the environmentalists, ecologists and forest management personnel involved in the project. [M18]

Report on environmentally sustainable, resilient forest

D2.4: First report on environmentally sustainable, resilient forest models: Will revise D2.2, following the activities carried out on the demonstration of Phase A, B and C activities [M24]

"Report on formal assessment of trial period #1"

"D9.3: Report on formal assessment of trial period #1 to #3: The deliverable will report on the formal as-sessment of pilot demonstration outcomes from Phase A, B and C. [M30]"

Review of ecological resilience programme across EU

D6.1: Review of ecological resilience programme across EU: The deliverable will report on the ecological resilience programme being adopted across EU by respective regional authorities towards rehabilitation and restoration of forests. The study will consider the impact of wildfires upon natural resources and methodologies to be adopted for the restoration of ecological balance within burnt area. [M18]

Annual report on SILVANUS dissemination activities, v1

D10.2: Annual report on SILVANUS dissemination activity, v1: The deliverable will report on the partic-ipation of SILVNUA consortium across key dissemination events including industrial showcases as out-lined in Section 2.2 [M12]

First report on the formal specification of sustainable

D3.1: First report on the formal specification of sustainable and resilient forest management knowledge model: Report on the activities carried out in formalising the semantic framework developed within the project. The various ignition models resulting from six (6) categories namely (i) unknown; (ii) natural; (iii) accidental; (iv) negligence; (v) deliberate and (vi) re-kindle will be addressed. [M12]

SILVANUS dissemination and community engagement

D10.1: SILVANUS dissemination and community engagement strategy: Report on the broad strategies identified by consortium partners. The deliverable will also assign project representatives as liaisons to engage with rest of the IA project and represent project views in CSA action. [M1]

Report on SILVANUS formal assessment methodology

The deliverable will outline the formal assessment methodology to be adopted for Phase A, B and C out-come evaluation [M12]

First report on environmentally sustainable, resilient forest

D2.2: First report on environmentally sustainable, resilient forest models: The deliverable will summarise the activities of the WP (i) review of forest landscape models for the pilot demonstrations sites; (ii) the climate sensitive forest models; (iii) historical review of forest resilience to wildfires and (iv) systematic methodology for participatory process [M11]

Report on SILVANUS resilience programme for forest management, v1

D6.2: Report on SILVANUS resilience programme for forest management, v1: Report on the overarching activities carried out within the WP to address the challenges related to forest resilience. The methodology to be adopted within the scope of continuous monitoring of rehabilitation strategies will also be reported. [M24]

First draft on policy recommendation framework

D7.1: First draft on policy recommendation framework: The deliverable will report on the current policy guidelines being adopted for forest restoration across EU member states. The deliverable will detail on the EU policy framework on climate services and commitment to restoring biodiversity for the regions affect-ed by wildfires. First results regarding effective governance models that remove barriers in forest restora-tion will be published. [M18]

Annual report on SILVANUS dissemination activities, v2

D10.3: Annual report on SILVANUS dissemination activities, v2: The deliverable will revise D10.2 with the participation of events between M12 to M24 [M24]

Report on existing sustainable forest management services

Report on existing sustainable forest management services and formalisation of functional specification requirements: The deliverable will summarise the functionalities, features, and market scope of forest management services. [M8]

SILVANUS platform release, 2nd version

D8.4: SILVANUS platform release (beta release): The deliverable will demonstrate the features of the platform in comparison to the alpha release. The platform will be rigorously tested and evaluated against different fire ignition models to be identified across pilot demonstration activities. [M32]

Demonstration of MESH in the sky communication infrastructure

D5.2: Demonstration of MESH-in the sky communication infrastructure: Demonstration of the set-up of on-demand wireless communication being deployed in the sky with the help of drones, that will act as mobile routers to enable communication exchange between distributed deployment of mobile command centres, first responders and the public. [M24]

Demonstration of big-data framework for situation awareness on fire danger index

D5.1: Demonstration of big-data framework for situation awareness on fire danger index: The deliverable will showcase the technical integration of big-data framework elements for the development of situational awareness on the threat of forest fire. [M21]

Demonstration of social media analytics for localising the origin of wildfire ignition

D4.2: Demonstration of social media analytics for localising the origin of wildfire ignition: Showcase the training of multi-modal deep-learning algorithms in processing images, textual data and geo-spatial infor-mation to accurately identify the fire origin. [M18]

Demonstration of ground vehicle navigation to and from frontline wildfire spread

D4.3: Demonstration ground vehicle navigation to and from frontline wildfire spread: Demonstration of the functional capabilities of the ground vehicles, which are deployed to collect information from the front of line of wildfires. [M18]

Demonstration of data collection, aggregation of EO, weather/climate models and in-situ environmental sensors

D4.1: Demonstration of data collection, aggregation of Earth Observations, weather/climate models and in-situ environmental sensors for forest fire risk/threat assessment: Demonstration of interface implemen-tation to collect data and subsequent pre-processing capabilities to quantify the forest fire risk/threat as-sessment. [M18]

Autonomous piloting of UAV fleet and coordination for remote sensing and identification of wildfire ignition

D4.4: Autonomous piloting of UAV fleet and coordination for remote sensing and identification of wildfire ignition: The deliverable will demonstrate autonomous deployment of aerial vehicles being launched for detecting the ignition of forest fires. [M24]

First release of citizen engagement methodology

D3.3: First release of citizen engagement methodology and mobile application: Report on the citizen engagement methodology. The use of innovative services such as online questionnaire, demographic target group selection, consultation with the environmentalists and feedback from advisory board members will all be analysed. [M18]

SILVANUS platform release, 1st version

D8.2: SILVANUS platform release (alpha release): The deliverable will demonstrate the alpha release of the project platform leveraging the project outcomes from WP3-WP7. The demonstration will enable the first responders and fire fighters’ access to have hands-on experience in engaging with the platform and to enable organisational readiness for the deployment of the platform. [M20]

Demonstration of SILVANUS decision support system for response coordination

D5.3: Demonstration of SILVANUS decision support system for response coordination: The deliverable will demonstrate the implementation of SIVANUS decision support system integrating the different algorithms being developed in the WP for real-time monitoring of wildfires. [M24]

Veröffentlichungen

Ecological Impact Assessment Framework for areas affected by Natural Disasters

Autoren: Kusrini Kusrini, Arief Setyanto, Gardyas Bidari Adninda, Renindya A Kartikakirana, Rhisa A Suprapto, Arif D Laksito and I Made A Agastya from AMIKOM, Andrea Majlingova and Yvonne Brodrechtova from TUZVO, Konstantinos Demestichas from AUA, Krishna Chandramouli and Ebroul Izquierdo from VTG
Veröffentlicht in: Proceedings of the 19th International Conference on Content-based Multimedia Indexing, 2022
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3549555.3549596

Coordination of Drones Swarm for Wildfires Monitoring

Autoren: Jan Zelenka, Tomaš Kasanicky, Emil Gatial and Zoltan Balogh from Institute of Informatics, Slovak Academy of Sciences in Bratislava, Slovakia; Andrea Majlingova and Yvonne Brodrechtova from Technical University of Zvolen; Simona Kalinovska and Richard Rehak from 3MON; Yann Semet and Gregoire Boussu from THALES
Veröffentlicht in: 20th International ISCRAM Conference, 2023
Herausgeber: Information Systems for Crisis Response and Management

GIS Data Support Technique for Forest Fire Management and Decision Support System: A Sebangau National Park, Kalimantan Case

Autoren: Kumara Ari Yuana, Kusrini Kusrini, Arief Setyanto, Arif Dwi Laksito, Zauvik Rizaldi Maruf, Muhammad Zuhdi Fikri Johari, Gardyas Bidari Adninda, Renindya Azizza Kartikakirana, Fitria Nucifera, Wiwi Widayani from Universitas AMIKOM Yogyakarta and Theofanis Orphanoudakis from Netcompany-Intrasoft
Veröffentlicht in: 6th International Conference on Information and Communications Technology (ICOIACT), 2023
Herausgeber: Institute of Electrical and Electronics Engineers

From Diverse Sources to a Unified Framework: Constructing an Operational Ontology for Fire Management

Autoren: Simone Martin Marotta, Vincenzo Masucci, Ciro Caterino and Maria Serafina Cefarelli from Expert.AI
Veröffentlicht in: 6th International Conference on Information and Communications Technology (ICOIACT), 2023
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icoiact59844.2023.10455897

Advancement of an Integrated Technological Platform for Wildfire Management through Edge Computing

Autoren: Marić, L., Chandramouli, K., Martinez, J. R., Maslioukova, M. I., Christodolou, G., Avgerinakis, K., & Kosmides, P.
Veröffentlicht in: 8th International Conference on Smart and Sustainable Technologies, 2023
Herausgeber: Institute of Electrical and Electronics Engineers

SILVANUS: An Integrated Technological and Information Platform for WildfireManagement – North Evia pilot area

Autoren: Georgios Sakkas, Vassiliki Varela, Iosif Vourvachis, Alexandros Giordanis, Stelios Andreadis, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Konstantinos Demestichas, Spyridon Kaloudis, Roula Kechri, Konstantinos Meletis
Veröffentlicht in: Proceedings of SafeThessaloniki 2022 – 9th International Conference on Civil Protection & New Technologies, 29 September-1 October., 2022, Seite(n) 137-140, ISSN 2654-1823
Herausgeber: SafeGreece [www.safegreece.org]
DOI: 10.5281/zenodo.7953240

Spatial Hotspot Data and Weather for Forest Fire Data Clustering

Autoren: P. Mimboro, K. Kusrini and A. D. Laksito
Veröffentlicht in: 2022 5th International Conference on Information and Communications Technology (ICOIACT), 2022
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icoiact55506.2022.9971884

EO4WildFires: An Earth Observation multi-sensor, time-series machine-learning-ready benchmark dataset for wildfire impact prediction

Autoren: D. Sykas, D. Zografakis, K. Demestichas, C. Costopoulou, and P. Kosmidis, Pavlos
Veröffentlicht in: Ninth International Conference on Remote Sensing and Geoinformation of Environment (RSCy2023), 2023
Herausgeber: Elsevier
DOI: 10.5281/zenodo.7762564

Monte Carlo method for map area calculation in wildland fire map management

Autoren: Kumara Ari Yuana Faculty of Computer Science, Universitas Amikom Yogyakarta, Yogyakarta, Indonesia Kusrini Magister of Informatic Engineering, Universitas Amikom Yogyakarta, Yogyakarta, Indonesia Arief Setyanto Magister of Informatic Engineering, Universitas Amikom Yogyakarta, Yogyakarta, Indonesia Arif Dwi Laksito Faculty of Computer Science, Universitas Amikom Yogyakarta, Yogyakarta, Indonesia Z
Veröffentlicht in: 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 2022
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icitisee57756.2022.10057604

Security Architecture in the SILVANUS project

Autoren: Natan Orzechowski, Karol Rzepka, Przemysław Szary, Krzysztof Cabaj, Wojciech Mazurczyk from Warsaw University of Technology, Helen C. Leligou from Netcompany-Intrasoft, Marcin Przybyszewski, Rafał Kozik and Michał Choraś from ITTI Sp. z.o.o.
Veröffentlicht in: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3600160.3605082

Communication Protocol for using Nontraditional Information Sources between First Responders and Citizens during Wildfires

Autoren: Zoltan Balogh, Emil Gatial, Sepideh Hassankani-Dolatabadi, Štefan Dlugolinsky from Institute of Informatics, Slovak Academy of Sciences in Bratislava, Slovakia; Marco Saltarella and Marcello Paolo Scipioni from Fincons SpA, Italy, Dominika Grunwald, Marcin Przybysweski from ITTI Sp. Z.o.o. Poland; Andrea Majlingova and Yvonne Brodrechtova from Technical University in Zvolen, Slovakia; Kayvan Yous
Veröffentlicht in: Proceedings of the 20th International ISCRAM Conference, 2023
Herausgeber: Information Systems for Crisis Response and Management

Machine Learning and Social Media Harvesting for Wildfire Prevention

Autoren: Arif Dwi Laksito, Kusrini Kusrini, Arief Setyanto, Muhammad Zuhdi Fikri Johari, Zauvik Rizaldi Maruf, Kumara Ari Yuana, Gardyas Bidari Adninda, Renindya Azizza Kartikakirana, Fitria Nucifera, Wiwi Widayani from Universitas AMIKOM Yogyakarta, Krishna Chandramouli from Venaka Treleaf, Ebroul Izquierdo from Queen Mary University of London
Veröffentlicht in: IEEE 13th International Conference on Pattern Recognition Systems, 2023
Herausgeber: Institute of Electrical and Electronics Engineers

Citizen Engagement in Wildfire Management: Needs, Challenges, Methods and Framework

Autoren: Yousefi Mojir, K., Maceviciute, E., Gatial, E., & Balogh, Z.
Veröffentlicht in: 20th International ISCRAM Conference, 2023
Herausgeber: Information Systems for Crisis Response and Management

The Use of Domestic Herbivores for Ecosystem Management in Mediterranean Landscapes

Autoren: Inês Ribeiro, Tiago Domingos, Davy McCracken, Vânia Proença
Veröffentlicht in: Global Ecology and Conservation, 2023, ISSN 2351-9894
Herausgeber: Elsevier BV
DOI: 10.1016/j.gecco.2023.e02577

Advances in remote sensing for sustainable forest management: monitoring and protecting natural resources

Autoren: Rogerio Pinto Espíndola Nelson Francisco Favilla Ebecken
Veröffentlicht in: Revista Caribena de las Ciências Sociales, Ausgabe v.12, n.4, 2023, Seite(n) 1613-1615, ISSN 2254-7630
Herausgeber: South Florida Publishing LLA
DOI: 10.55905/rcssv12114-003

ForestTrav: 3D LiDAR-Only Forest Traversability Estimation for Autonomous Ground Vehicles

Autoren: F. A. Ruetz, N. Lawrance, E. Hernández, P. V. K. Borges and T. Peynot
Veröffentlicht in: IEEE Access, 2024, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3373004

Performance evaluation of Raspberry Pi 4 and STM32 Nucleo boards for security-related operations in IoT environments

Autoren: Rzepka, K., Szary, P., Cabaj, K., & Mazurczyk, W.
Veröffentlicht in: Computer Networks, 2024, ISSN 1389-1286
Herausgeber: Elsevier BV
DOI: 10.1016/j.comnet.2024.110252

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

Autoren: Panagiotis Lioliopoulos, Panagiotis Oikonomou, Georgios Boulougarisand Kostas Kolomvatsos from University of Thessaly
Veröffentlicht in: Sensors, 2024, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24072273

ΠΛΑΤΦΟΡΜΑ ΓΙΑ ΤΗ ΔΙΑΧΕΙΡΙΣΗ ΔΑΣΙΚΩΝ ΠΥΡΚΑΓΙΩΝ ΜΕ ΤΗ ΒΟΗΘΕΙΑ ΓΕΩΓΡΑΦΙΚΩΝ ΠΛΗΡΟΦΟΡΙΑΚΩΝ ΣΥΣΤΗΜΑΤΩΝ ΚΑΙ ΑΛΛΩΝ ΤΕΧΝΟΛΟΓΙΩΝ: Η ΠΕΡΙΠΤΩΣΗ ΤΟΥ SILVANUS

Autoren: Κωνσταντίνος Δεμέστιχας, Σπυρίδων Καλούδης, Σταυρούλα Γαλανοπούλου, Μαρία Νταλιάνη, Κωνσταντίνα Κωστοπούλου, Krishna Chandramouli, Andrea Majlingova, David Bowden, Aidan Omahony, Δέσποινα Αναστασοπούλου, Marco Mancini, Kusrini Kusrini
Veröffentlicht in: Geographic information Systems 2022 - Greek National conference, 2022
Herausgeber: Geographic information Systems 2022

WILDLAND FIRE PATTERNS AND FIRE-FIGHTING TACTICS IN CENTRAL EUROPEAN COUNTRIES

Autoren: MAJLINGOVÁ, A., KAČÍKOVÁ, D., KROPIL, R., & HANCKO, D.
Veröffentlicht in: WILDLAND FIRE PATTERNS AND FIRE-FIGHTING TACTICS IN CENTRAL EUROPEAN COUNTRIES, 2022
Herausgeber: Technical University of Zvolen

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