Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment

Canopy fuels and surface fuel models, topographic features and other canopy attributes such as stand height and canopy cover, provide the necessary spatial datasets required by various fire behaviour modelling simulators. This is a technical note reporting on a pan-European fuel map server, highligh...

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Autores: Kutchartt, Erico, González Olabarria, José Ramón, Aquilué, Núria, Garcia-Gonzalo, Jordi, Trasobares, Antoni, Botequim, Brigite, Hauglin, Marius, Palaiologou, Palaiologos, Vassilev, Vassil, Cardil Forradellas, Adrián, Navarrete, Miguel Angel, Orazio, Christophe, Pirotti, Francesco
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/466995
Acceso en línea:https://doi.org/10.1016/j.geomat.2024.100036
https://hdl.handle.net/10459.1/466995
Access Level:acceso abierto
Palabra clave:Earth observation
Remote sensing
Wildfire simulations
Web-GIS
Geomatics
Canopy features
Fuel models
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spelling Pan-European fuel map server: An open-geodata portal for supporting fire risk assessmentKutchartt, EricoGonzález Olabarria, José RamónAquilué, NúriaGarcia-Gonzalo, JordiTrasobares, AntoniBotequim, BrigiteHauglin, MariusPalaiologou, PalaiologosVassilev, VassilCardil Forradellas, AdriánNavarrete, Miguel AngelOrazio, ChristophePirotti, FrancescoEarth observationRemote sensingWildfire simulationsWeb-GISGeomaticsCanopy featuresFuel modelsCanopy fuels and surface fuel models, topographic features and other canopy attributes such as stand height and canopy cover, provide the necessary spatial datasets required by various fire behaviour modelling simulators. This is a technical note reporting on a pan-European fuel map server, highlighting the methods for the production and validation of canopy features, more specifically canopy fuels, and surface fuel models created for the Eu ropean Union’s Horizon 2020 “FIRE-RES” project, as well as other related data derived from earth observation. The aim was to deliver a fuel cartography in a findable, accessible, interoperable and replicable manner as per F. A.I.R. guiding principles for research data stewardship. We discuss the technology behind sharing large raster datasets via web-GIS technologies and highlight advances and novelty of the shared data. Uncertainty maps related to the canopy fuel variables are also available to give users the expected reliability of the data. Users can view, query and download single layers of interest, or download the whole pan-European dataset. All layers are in raster format and co-registered in the same reference system, extent and spatial resolution (100 m). Viewing and downloading is available at all NUTS scales, ranging from country level (NUTS0) to province level (NUTS3), thus facilitating data management and access. The system was implemented using R for part of the processing and Google Earth Engine. The final app is openly available to the public for accessing the data at various scales.This work was funded by the European Union’s Horizon 2020 Research and Innovation Programme through the project entitled “Innovation technologies & socio-ecological-economic solutions for fire resilient territories in Europe - FIRE-RES” under grant agreement Nº101037419. In addition, this work also has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº101007950. Dr. Jordi Garcia-Gonzalo and Dr. Jos´e Ramon ´ Gonzalez-Olabarria ´ received funding from the Agency for the Research Centre of Catalonia (CERCA Programme/Generalitat de Catalunya). Dr. Erico Kutchartt was sup ported by Fondazione Cassa di Risparmio di Padova e Rovigo (CAR IPARO). Dr. Francesco Pirotti was supported within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESIL IENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1032 17/06/2022, CN00000022). Dra. Núria Aquilu´e was sup ported by a Juan de la Cierva fellowship of the Spanish Ministry of Science and Innovation (FCJ2020–046387-I)Elsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.geomat.2024.100036https://hdl.handle.net/10459.1/466995reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a https://doi.org/10.1016/j.geomat.2024.100036Geomatica, 2024, vol. 76, núm. 2, art. 100036info:eu-repo/grantAgreement/EC/H2020/101007950info:eu-repo/grantAgreement/EC/H2020/101037419cc-by (c) The Authors, 2024Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:repositori.udl.cat:10459.1/4669952026-06-24T12:42:17Z
dc.title.none.fl_str_mv Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
title Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
spellingShingle Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
Kutchartt, Erico
Earth observation
Remote sensing
Wildfire simulations
Web-GIS
Geomatics
Canopy features
Fuel models
title_short Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
title_full Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
title_fullStr Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
title_full_unstemmed Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
title_sort Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment
dc.creator.none.fl_str_mv Kutchartt, Erico
González Olabarria, José Ramón
Aquilué, Núria
Garcia-Gonzalo, Jordi
Trasobares, Antoni
Botequim, Brigite
Hauglin, Marius
Palaiologou, Palaiologos
Vassilev, Vassil
Cardil Forradellas, Adrián
Navarrete, Miguel Angel
Orazio, Christophe
Pirotti, Francesco
author Kutchartt, Erico
author_facet Kutchartt, Erico
González Olabarria, José Ramón
Aquilué, Núria
Garcia-Gonzalo, Jordi
Trasobares, Antoni
Botequim, Brigite
Hauglin, Marius
Palaiologou, Palaiologos
Vassilev, Vassil
Cardil Forradellas, Adrián
Navarrete, Miguel Angel
Orazio, Christophe
Pirotti, Francesco
author_role author
author2 González Olabarria, José Ramón
Aquilué, Núria
Garcia-Gonzalo, Jordi
Trasobares, Antoni
Botequim, Brigite
Hauglin, Marius
Palaiologou, Palaiologos
Vassilev, Vassil
Cardil Forradellas, Adrián
Navarrete, Miguel Angel
Orazio, Christophe
Pirotti, Francesco
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Earth observation
Remote sensing
Wildfire simulations
Web-GIS
Geomatics
Canopy features
Fuel models
topic Earth observation
Remote sensing
Wildfire simulations
Web-GIS
Geomatics
Canopy features
Fuel models
description Canopy fuels and surface fuel models, topographic features and other canopy attributes such as stand height and canopy cover, provide the necessary spatial datasets required by various fire behaviour modelling simulators. This is a technical note reporting on a pan-European fuel map server, highlighting the methods for the production and validation of canopy features, more specifically canopy fuels, and surface fuel models created for the Eu ropean Union’s Horizon 2020 “FIRE-RES” project, as well as other related data derived from earth observation. The aim was to deliver a fuel cartography in a findable, accessible, interoperable and replicable manner as per F. A.I.R. guiding principles for research data stewardship. We discuss the technology behind sharing large raster datasets via web-GIS technologies and highlight advances and novelty of the shared data. Uncertainty maps related to the canopy fuel variables are also available to give users the expected reliability of the data. Users can view, query and download single layers of interest, or download the whole pan-European dataset. All layers are in raster format and co-registered in the same reference system, extent and spatial resolution (100 m). Viewing and downloading is available at all NUTS scales, ranging from country level (NUTS0) to province level (NUTS3), thus facilitating data management and access. The system was implemented using R for part of the processing and Google Earth Engine. The final app is openly available to the public for accessing the data at various scales.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.geomat.2024.100036
https://hdl.handle.net/10459.1/466995
url https://doi.org/10.1016/j.geomat.2024.100036
https://hdl.handle.net/10459.1/466995
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1016/j.geomat.2024.100036
Geomatica, 2024, vol. 76, núm. 2, art. 100036
info:eu-repo/grantAgreement/EC/H2020/101007950
info:eu-repo/grantAgreement/EC/H2020/101037419
dc.rights.none.fl_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
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repository.mail.fl_str_mv
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