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dc.contributor | Facultad de Ciencias Biologicas y Ambientales | es_ES |
dc.contributor.author | Fernández Guisuraga, José Manuel | |
dc.contributor.author | Fernández Manso, Alfonso | |
dc.contributor.author | Quintano Pastor, Carmen | |
dc.contributor.author | Fernández García, Víctor | |
dc.contributor.author | Cerrillo Cuenca, Alberto | |
dc.contributor.author | Marqués Rodríguez, Guillermo | |
dc.contributor.author | Cascallana Prol, Gaspar | |
dc.contributor.author | Calvo Galván, María Leonor | |
dc.contributor.other | Ecologia | es_ES |
dc.date | 2024 | |
dc.date.accessioned | 2024-04-15T12:44:58Z | |
dc.date.available | 2024-04-15T12:44:58Z | |
dc.identifier.citation | Fernández-Guisuraga, J. M., Fernández Manso, A., Quintano, C., Fernández-García, V., Cerrillo, A., Marqués, G. & Calvo, L. (2024). FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques. Ecological Informatics, 81, Article e102591. https://doi.org/10.1016/j.ecoinf.2024.102591 | es_ES |
dc.identifier.issn | 1574-9541 | |
dc.identifier.other | https://www.sciencedirect.com/science/article/pii/S157495412400133X | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/19738 | |
dc.description.abstract | [EN] The formulation and planning of integrated fire management strategies must be strengthened by decision support systems about fire-induced ecological impacts and ecosystem recovery processes, particularly in the context of extreme wildfire events that challenge land management initiatives. Wildfire data collection and analysis through remote sensing earth observations is of utmost importance for this purpose. However, the needs of land managers are not always met because the exploitation of the full potential of remote sensing techniques requires a high level of technical expertise. In addition, data acquisition and storage, database management, networking, and computing requirements may present technical difficulties. Here, we present FIREMAP software, which leverages the potential of Google Earth Engine (GEE) cloud-based platform, an intuitive graphical user interface (GUI), and the European Forest Fire Information System (EFFIS) wildfire database for wildfire analyses through remote sensing techniques and data collections. FIREMAP software allows automatic computing of (i) machine learning-based burned area (BA) detection algorithms to facilitate the mapping of (historical) fire perimeters, (ii) fire severity spectral indices, and (iii) post-fire recovery trajectories through the inversion of physically-based radiative transfer models. We introduce (i) the FIREMAP platform architecture and the GUI, (ii) the implementation of well-established algorithms for wildfire science and management in GEE, (iii) the validation of the algorithm implementation in fifteen case-study wildfires across the western Mediterranean Basin, and (iv) the near-future and long-term planned expansion of FIREMAP features | es_ES |
dc.language | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ecología. Medio ambiente | es_ES |
dc.subject | Ingeniería forestal | es_ES |
dc.subject.other | Burned area | es_ES |
dc.subject.other | Fire severity | es_ES |
dc.subject.other | Google earth engine | es_ES |
dc.subject.other | Graphical user interface | es_ES |
dc.subject.other | Vegetation recovery | es_ES |
dc.title | FIREMAP: Cloud-based software to automate the estimation of wildfire-induced ecological impacts and recovery processes using remote sensing techniques | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.1016/j.ecoinf.2024.102591 | |
dc.description.peerreviewed | SI | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia/PID2022-139156OB-C21/ES/Susceptibilidad y vulnerabilidad del paisaje frente a megaincendios severos en el eje atlántico-mediterráneo: soluciones basadas en la naturaleza para una gestión proactiva | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICIN//TED2021-130925B-I00/ES/Tecnologías disruptivas para la toma de decisiones en la gestión post-incendio basadas en las soluciones de computación en la nube/FIREMAP | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1878-0512 | |
dc.journal.title | Ecological Informatics | es_ES |
dc.volume.number | 81 | es_ES |
dc.page.initial | 102591 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 3106 Ciencia Forestal | es_ES |
dc.subject.unesco | 2506.16 Teledetección (Geología) | es_ES |
dc.subject.unesco | 3106.99 Otras (Incendios forestales) | es_ES |
dc.description.project | This study was financially supported by the Spanish Ministry of Science and Innovation in the framework of LANDSUSFIRE project (PID2022-139156OB-C21) within the National Program for the Promotion of Scientific-Technical Research (2021-2023), and with Next-Generation Funds of the European Union (EU) in the framework of the FIREMAP project (TED2021-130925B-I00); and by the Regional Government of Castile and León in the framework of the IA-FIREXTCyL project (LE081P23). Víctor Fernández-García was supported by a Margarita Salas post-doctoral fellowship from the Ministry of Universities of Spain, financed with European Union-NextGenerationEU and Ministerio de Universidades Funds | es_ES |
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