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A Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters

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

Survey for building and validating TREEADS platform V1

The surveys of task 31 will run four times during the lifetime of the project targeting at the end of the project to receive data from at least 300 wilfire stakeholders Civil protection firebrigates Advisory board etc The data from the Surveys will be used for better understating all environmental social and technoeconomic factors in wilfire management

Detection and Response Understanding and Technical Requirement Report V1

This document specifies functional and not functional Requirements in the Detection and Response phase of wildfires

Restoration and Adaptation Understanding and Technical Requirement Report V1

This document specifies functional and not functional Requirements in the Restoration and Adaptation phase of wildfires

TREEADS SOCIO-TECHNOLOGICAL Solution for Restoration and Adaptation V1

In this document all task of WP6 will details their development process A demonstrator will be built for showcasing the TREEADS Technological Solutions for Restoration and Adaptation The Common document approach with all partners reporting on the same document provides a better understanding of all Partners work on the WP

Report on TREEADS Pan-European Pilot Campaign Plan and Evaluation Methodology

This report will detail guidelines and the initial integration tests needed for providing the necessary feedback for the Pilot installation and realization

Live doc Holistic Management systems and resource re-utilisation report V1

This live document specifies in details the procedure for achieving Holistic Fire management along with the ability to reutilise available means from the Three phases of the TREEADS Fire management system The Doc will remain open during the duration of the project and updated with all specs until the last version in M33

Report on Ecological and environmental Models of Wildfires

The report will detail all the necessary studies in ecological and environmental models The Document will be integrated after the first version in D32 in a live document format

TREEADS Outreach, Dissemination and Communication Activities V1

This report describes the dissemination and communication activities including promotional materials implemented by the TREEADS partners to promote the TREEADS results The results of the communication awareness campaigns to target the all fire related stakeholders The results of the workshops organised by the TREEADS Action to target the projects key stakeholders and promote the adoption of the TREEADS Ecosystem across Europe

TREEADS SOCIO-TECHNOLOGICAL Solution for Detection and Response. V1

In this document all task of WP5 will details their development process The Common document approach with all partners reporting on the same document provides a better understanding of all Partners work on the WP

Holistic Fire Management System and Incremental deployment of all Phases V1

This report will detail the TREEADS Holistic Ecosystem showing how the various sociotechnological components can be Glued to a common target A live document is adopted to live update the technological steps done toward a holistic TREEADS enable Wildfire management systems This report consists of three main updates except the ones done in the live document that will be delivered to the EU reporting also how based on the various feedback received from the Pilots was used for the Live adaptation of the TREEADS Ecosystem A Demonstrator is also provided accompanying D71

Prevention and Preparedness Understanding and Technical Requirement Report V1

This document specifies functional and not functional Requirements in the prevention and preparedness phase of wildfires

Live doc, Europe-Wide geographical and socio -economic details, Empowerment and Engagement of forestry, bioeconomy, Communities, First Responders and Volunteers V1

This live document will be drafted in M6 and will be an open book for detailing all the effort of Task 21 22 and 23 the final version of the document will be provided in M21

TREEADS SOCIO-TECHNOLOGICAL Solution for Prevention and Preparedness. V1

In this document all task of WP4 will details their development process. A demonstrator will be built for showcasing the TREEADS Technological Solutions for Prevention and Preparedness. The Common document approach with all partners reporting on the same document provides a better understanding of all Partners work on the WP

Live doc TREEADS Organizational Structural and Sociotechnical factors V1

The live document will be an open reporting during the WP3 period Task 31 32 33 34 and 35 will detail all Organizational Structural and Sociotechnical factors including Insurance models standards Interoperability and PanEuropean Initiatives in Policy and guidelines

DRYADS Dissemination and Communication Plan

This report presents the dissemination and communication plan for the DRYADS project

Live doc TREEADS Platform technological, Architecture and data model and fusion V1

The live doc will details the common TREEADS Ecosystem architecture technical specification including all data models and data fusion effort updated regularly provide and TREEADS Encyclopaedia

Data Management Plan

A Data Management Plan DMP for providing open access to the research data will be developed

Publications

Applying the physical wildfire spread model PhyFire to Southern and Central Europe.

Auteurs: Katrin Kuhnen, Maria I. Asensio, José M. Cascón, José M. Iglesias, Mariana S. Andrade, Tatiana Klisho, Herbert Formayer and Harald Vacik
Publié dans: INTERPRAEVENT, Numéro 10-13 June 2024, 2024, ISBN 978-3-901164-32-3
Éditeur: INTERPRAEVENT

"Forests on fire: Effects of input data resolution on forest fire behaviour modelling – A case study from Lower Austria"

Auteurs: Katrin Kuhnen, Maria Isabel Asensio, José Manuel Cascón, José Manuel Iglesias, Mariana Silva Andrade, Tatiana Klisho, Herbert Formayer, Harald Vacik
Publié dans: EGU24 General Assembly, Numéro 14-19 April 2024, 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/egusphere-egu24-11261

Automatización de la generación de cartografía de presencia de vegetación (España, Nueva Zelanda)

Auteurs: Yolanda Sánchez Sanchez, José Manuel Cascón Barbero, José Manuel Iglesias Pérez, María Isabel Asensio Sevilla y Tim Stahl.
Publié dans: XX Congreso de la Asociación Española de Teledetección, Numéro 6-7 June 2024, 2024, ISBN 978-84-9828-941-1
Éditeur: XX Congreso de la Asociación Española de Teledetección

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean

Auteurs: Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
Publié dans: 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks, Numéro 12/16/2023, 2023, ISBN 9781713899921
Éditeur: NeurIPS
DOI: 10.48550/arxiv.2306.05144

Fire and smoke simulation tool in the TREEADS project.

Auteurs: M.I. Asensio, J.M. Cascón, J.M. Iglesias, D. Cifuentes
Publié dans: XI Congreso Internacional FuegoRED 2024, Numéro 16-18 October 2024, 2024, ISBN 978-84-09-66729-1
Éditeur: XI Congreso Internacional FuegoRED 2024

" A comprehensive wind-fire-smoke simulation tool based on physical models and geospatial information."

Auteurs: María Isabel Asensio, José Manuel Cascón, José Manuel Iglesias
Publié dans: EGU24 General Assembly, Numéro 14-19 April 2024, 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/egusphere-egu24-2647

Guidelines for protection of WUI structures in Norway

Auteurs: Max Anthony Gribble, Ragni Fjellgaard Mikalsen & Edvard Aamodt
Publié dans: NFSD 2024 (Nordic Fire & Safety Days) Conference, Numéro 18-19 June, 2024, 2024, ISBN 978-91-89971-08-0
Éditeur: Träteknikcentrum - Institutet för träteknisk forskning

Wildfire fuels and spread characteristics : Using wooden materials as model systems

Auteurs: Magne Rosnes, Ellen Synnøve Skilbred, Edvard Aamodt, Ragni Fjellgaard Mikalsen & I. S. Ertesvåg
Publié dans: Nordic Fire & Safety Days 2024 in Lund, Sweden., Numéro 18-19 June, 2024, 2024, ISBN 978-91-89971-08-0
Éditeur: Träteknikcentrum - Institutet för träteknisk forskning

Incorporating Social Media Sensing and Computer Vision Technologies to Support Wildfire Monitoring

Auteurs: Emmanouil Michail, Aristeidis Bozas, Dimitrios Stefanopoulos, Stavros Paspalakis, Georgios Orfanidis, Anastasia Moumtzidou, Ilias Gialampoukidis, Konstantinos Ioannidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Numéro 7 - 12 July, 2024, 2024, Page(s) 2082-2085, ISSN 2153-7003
Éditeur: IEEE
DOI: 10.1109/igarss53475.2024.10641848

Experimental studies on the fire behaviour and smoke toxicity of German pine vegetation (Pinus sylvestris)

Auteurs: Lukas Heydick, Kira Piechnik, Andrea Klippel, Florian Köhler
Publié dans: Advances in Forest Fire Research 2022 - Imprensa da Universidade de Coimbra; Viegas, Domingos Xavier, 2022, Page(s) 1616-1621, ISBN 978-989-26-2297-2
Éditeur: Imprensa da Universidade de Coimbra
DOI: 10.14195/978-989-26-2298-9_247

Applying Experimental Determined Kinetic Parameters to the Simulation of Vegetation Fire in the Fire Dynamics Simulator

Auteurs: Hongyi Wu, Anja Hofmann-Böllinghaus
Publié dans: Wood & Fire Safety 2024, Numéro 01 June 2024, 2024, Page(s) 389-396
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59177-8_45

Composition and Combustion: A Comprehensive Study of German Tree and Shrub Vegetation

Auteurs: Lukas Heydick, Kira Piechnik, Andrea Klippel
Publié dans: Wood & Fire Safety 2024, Numéro 01 June 2024, 2024, Page(s) 428-435
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-59177-8_49

OpenStreetMap-Based Mapping Tool to Support TREEADS Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters

Auteurs: Konstantinos Zapounidis, Christos Koidis, Nikolaos Sakkos, Athanasios Bantsos, Irodotos Aptalidis, Dimitrios Aidonis, Charisios Achillas
Publié dans: Communications in Computer and Information Science, Supply Chains, Numéro 19 October 2024, 2024, Page(s) 107-118
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-69351-9_9

Validation of a 3D Local-Scale Adaptive Solar Radiation Model by Using Pyranometer Measurements and a High-Resolution Digital Elevation Model

Auteurs: Eduardo Rodríguez, Judit García-Ferrero, María Sánchez-Aparicio, José M. Iglesias, Albert Oliver-Serra, M. Jesús Santos, Paula Andrés-Anaya, J. Manuel Cascón, Gustavo Montero García, Alejandro Medina, Susana Lagüela, M. Isabel Asensio, Rafael Montenegro Armas
Publié dans: Sensors, Numéro 24, 2025, Page(s) 1823, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24061823

A Proposed System for Multi-UAVs in Remote Sensing Operations

Auteurs: Flores Peña, Pablo, Marco Andrés Luna, Mohammad Sadeq Ale Isaac, Ahmed Refaat Ragab, Khaled Elmenshawy, David Martín Gómez, Pascual Campoy, and Martin Molina
Publié dans: SENSORS, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239180

EOLO, a wind energy forecaster based on public information and automatic learning for the Spanish Electricity Markets

Auteurs: Diego Prieto-Herráez, Saray Martínez-Lastras, Laura Frías-Paredes, María Isabel Asensio, Diego González-Aguilera
Publié dans: Measurement, Numéro 231, 2024, Page(s) 114557, ISSN 0263-2241
Éditeur: Elsevier BV
DOI: 10.1016/j.measurement.2024.114557

Assessing the phytotoxic effects of class A foam application on northern Europe tree species: a short-term study on implications for wildfire management and ecosystem health

Auteurs: Vaida Sirgedaitė-Šėžienė, Dorotėja Vaitiekūnaitė, Milana Šilanskienė, Ieva Čėsnienė, Greta Striganavičiūtė, Axel Jaeger
Publié dans: Ecological Indicators, Numéro 166, 2024, Page(s) 112393, ISSN 1470-160X
Éditeur: Elsevier BV
DOI: 10.1016/j.ecolind.2024.112393

Comprehensive laboratory study on smoke gases during the thermal oxidative decomposition of forest and vegetation fuels

Auteurs: Kira Piechnik, Lukas Heydick, Anja Hofmann, Andrea Klippel
Publié dans: Fire and Materials, 2024, ISSN 0308-0501
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/fam.3253

Self‐ignition of forest soil samples demonstrated through hot storage tests

Auteurs: Kira Piechnik, Anja Hofmann, Andrea Klippel
Publié dans: Fire and Materials, Numéro 48, 2024, Page(s) 495-507, ISSN 0308-0501
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/fam.3198

CoFly-WeedDB: A UAV image dataset for weed detection and species identification

Auteurs: Krestenitis, M., Raptis, E. K., Kapoutsis, A. C., Ioannidis, K., Kosmatopoulos, E. B., Vrochidis, S., & Kompatsiaris, I.
Publié dans: Data in Brief, 2022, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/j.dib.2022.108575

Development of large lab-scale fire dynamics experiments relevant for Scandinavian wildfire behaviour

Auteurs: Edvard Aamodt, Lei Jiang, Ragni Fjellgaard Mikalsen, Dag Olav Snersrud, Frida Vermina Plathner, Johan Sjöström, Magne Rosnes, Ellen Synnøve Skilbred
Publié dans: Journal of Physics: Conference Series, Numéro 2885, 2024, Page(s) 012069, ISSN 1742-6588
Éditeur: Institute of Physics
DOI: 10.1088/1742-6596/2885/1/012069

The characteristics of alkali-activated slag-fly ash incorporating the high volume wood bottom ash: Mechanical properties and microstructures

Auteurs: Khanh-Dung Tran Thi, Min-Chih Liao, Duy-Hai Vo
Publié dans: Construction and Building Materials, Numéro 394, 2024, Page(s) 132240, ISSN 0950-0618
Éditeur: Elsevier BV
DOI: 10.1016/j.conbuildmat.2023.132240

Automatic Processing for Identification of Forest Fire Risk Areas along High-Voltage Power Lines Using Coarse-to-Fine LiDAR Data

Auteurs: David Hernández-López,Jorge López-Rebollo,Miguel A. Moreno and Diego Gonzalez-Aguilera
Publié dans: Forest, 2023, Page(s) 14(4), 662, ISSN 1999-4907
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/f14040662

FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2

Auteurs: Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numéro 17, 2024, Page(s) 7801-7824, ISSN 1939-1404
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2024.3381737

Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey

Auteurs: Sofia Giannakidou, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Sotirios Goudos, Evangelos K. Markakis, Panagiotis Sarigiannidis
Publié dans: Internet of Things, Numéro 26, 2024, Page(s) 101171, ISSN 2542-6605
Éditeur: Elsevier
DOI: 10.1016/j.iot.2024.101171

A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management

Auteurs: Dimitris Perikleous, George Koustas, Spyros Velanas, Katerina Margariti, Pantelis Velanas, Diego Gonzalez-Aguilera
Publié dans: Drones, Numéro 8, 2024, Page(s) 203, ISSN 2504-446X
Éditeur: MDPI
DOI: 10.3390/drones8050203

Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model

Auteurs: M.I. Asensio, J.M. Cascón, P. Laiz, D. Prieto-Herráez
Publié dans: Environmental Modelling & Software, Numéro 164, 2023, Page(s) 105710, ISSN 1364-8152
Éditeur: Elsevier BV
DOI: 10.1016/j.envsoft.2023.105710

An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods

Auteurs: Isabel Asensio; J Manuel Cascon; Diego Prieto Herráez; Luis Ferragut
Publié dans: Applied Sciences, 2023, Page(s) 13(4):2035, ISSN 2076-3417
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app13042035

Study of fire characteristics of forest vegetation in the Atlantic coastal region of Norway

Auteurs: Magne Rosnes, Ellen Synnøve Skilbred, Edvard Aamodt, Ivar Ståle Ertesvåg, Ragni Fjellgaard Mikalsen
Publié dans: Journal of Physics: Conference Series, Numéro 2885, 2024, Page(s) 012066, ISSN 1742-6588
Éditeur: Institute of Physics
DOI: 10.1088/1742-6596/2885/1/012066

TREE-LEVEL FUEL CONNECTIVITY TO ASSESS CROWN WILDFIRE POTENTIAL BY UAS-BASED PHOTOGRAMMETRY

Auteurs: M. Herrero-Huerta, D. Sánchez-Jiménez, A. del Campo-Sanchez, D. Cifuentes-Jimenez, L. Piedelobo-Martín, P. de Andres-Anaya, E. Gonzalez-Gonzalez, R. Yali Samaniego, S. del Pozo, D. Hernandez-Lopez, S. Lagüela, D. González-Aguilera
Publié dans: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numéro XLVIII-1/W2-2023, 2023, Page(s) 1743-1748, ISSN 2194-9034
Éditeur: International Society for Photogrammetry and Remote Sensing (ISPRS)
DOI: 10.5194/isprs-archives-xlviii-1-w2-2023-1743-2023

Networks for Integrated Wildfire Management: A Social Network Analysis Approach

Auteurs: Diogo Vallim, Amalia Giannakopoulou, Anna Schmid, David Struthers, Efthymios Altsitsiadis, Isabel Fróes
Publié dans: Proceedings of the International ISCRAM Conference, Numéro 21, 2024, ISSN 2411-3387
Éditeur: ISCRAM
DOI: 10.59297/1kbr4158

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