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...
| Autores: | , , , , , , , , , , , , |
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| 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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Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment 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 Earth observation Remote sensing Wildfire simulations Web-GIS Geomatics Canopy features Fuel models 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. 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) Elsevier https://doi.org/10.1016/j.geomat.2024.100036 https://hdl.handle.net/10459.1/466995 |
| 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 |
| 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 |
| topic |
Earth observation Remote sensing Wildfire simulations Web-GIS Geomatics Canopy features Fuel models |
| topic_facet |
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 |
| format |
article |
| status_str |
publishedVersion |
| url |
https://doi.org/10.1016/j.geomat.2024.100036 https://hdl.handle.net/10459.1/466995 |
| eu_rights_str_mv |
openAccess |
| publisher |
Elsevier |
| institution |
Universitat de Lleida (UdL) |
| collection |
Repositori Obert UdL |
| reponame_str |
Repositori Obert UdL |
| instname_str |
Universitat de Lleida (UdL) |
| _version_ |
1878434710867148800 |
| publishDateSort |
2024 |
| author_browse |
Aquilué, Núria Botequim, Brigite Cardil Forradellas, Adrián Garcia-Gonzalo, Jordi González Olabarria, José Ramón Hauglin, Marius Kutchartt, Erico Navarrete, Miguel Angel Orazio, Christophe Palaiologou, Palaiologos Pirotti, Francesco Trasobares, Antoni Vassilev, Vassil |
| publisherStr |
Elsevier |
| score |
6,9303427 |