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The Portuguese Large Wildfire Spread database (PT-FireSprd)

2023-08Artigo científico Acesso aberto
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dc.contributor.authorBenali, Akli
dc.contributor.authorGuiomar, Nuno
dc.contributor.authorGonçalves, Hugo
dc.contributor.authorMota, Bernardo
dc.contributor.authorSilva, Fábio
dc.contributor.authorFernandes, Paulo M.
dc.contributor.authorMota, Carlos
dc.contributor.authorPenha, Alexandre
dc.contributor.authorSantos, João
dc.contributor.authorPereira, José M. C.
dc.contributor.authorSá, Ana C. L.
dc.date.accessioned2024-07-03T13:14:00Z
dc.date.available2024-07-03T13:14:00Z
dc.date.issued2023-08
dc.description.abstractWildfire behaviour depends on complex interactions between fuels, topography, and weather over a wide range of scales, being important for fire research and management applications. To allow for significant progress towards better fire management, the operational and research communities require detailed open data on observed wildfire behaviour. Here, we present the Portuguese Large Wildfire Spread database (PT-FireSprd) that includes the reconstruction of the spread of 80 large wildfires that occurred in Portugal between 2015 and 2021. It includes a detailed set of fire behaviour descriptors, such as rate of spread (ROS), fire growth rate (FGR), and fire radiative energy (FRE). The wildfires were reconstructed by converging evidence from complementary data sources, such as satellite imagery and products, airborne and ground data collected by fire personnel, and official fire data and information in external reports.We then implemented a digraph-based algorithm to estimate the fire behaviour descriptors and combined it with the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) fire radiative power estimates. A total of 1197 ROS and FGR estimates were calculated along with 609 FRE estimates. The extreme fires of 2017 were responsible for the maximum observed values of ROS (8900mh􀀀1) and FGR (4400 ha h􀀀1). Combining both descriptors, we describe the fire behaviour distribution using six percentile intervals that can be easily communicated to both research and management communities. Analysis of the database showed that burned extent is mostly determined by FGR rather than by ROS. Finally, we explored a practical example to show how the PT-FireSprd database can be used to study the dynamics of individual wildfires and to build robust case studies for training and capacity building. The PT-FireSprd is the first open-access fire progression and behaviour database in Mediterranean Europe, dramatically expanding the extant information. Updating the PT-FireSprd database will require a continuous joint effort by researchers and fire personnel. PT-FireSprd data are publicly available through https://doi.org/10.5281/zenodo.7495506 (Benali et al., 2022) and have large potential to improve current knowledge on wildfire behaviour and to support better decision making.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBenali, A., Guiomar, N., Gonçalves, H., Mota, B., Silva, F., Fernandes, P. M., Mota, C., Penha, A., Santos, J., Pereira, J. M. C., and Sá, A. C. L.: The Portuguese Large Wildfire Spread database (PT-FireSprd), Earth Syst. Sci. Data, 15, 3791–3818pt_PT
dc.identifier.doihttps://doi.org/10.5194/essd-15-3791-2023pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/31231
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCopernicus Publicationspt_PT
dc.relationForest Research Centre
dc.relationData fusion of sensor networks and fire spread modelling for decision support in forest fire suppression.
dc.relationSupporting FIRE-management decisions combining fire spread MODelling and SATellite data in an operational context in Portugal (part II).
dc.relation.publisherversionhttps://www.earth-system-science-data.netpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectwildfire behaviourpt_PT
dc.subjectwildfire Spread databasept_PT
dc.subjectPortugalpt_PT
dc.titleThe Portuguese Large Wildfire Spread database (PT-FireSprd)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleForest Research Centre
oaire.awardTitleData fusion of sensor networks and fire spread modelling for decision support in forest fire suppression.
oaire.awardTitleSupporting FIRE-management decisions combining fire spread MODelling and SATellite data in an operational context in Portugal (part II).
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2017/PCIF%2FSSI%2F0102%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FASP-SIL%2F28771%2F2017/PT
oaire.citation.endPage3818pt_PT
oaire.citation.issue8pt_PT
oaire.citation.startPage3791pt_PT
oaire.citation.titleEarth System Science Datapt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Prevenção e Combate a Incêndios Florestais - 2017
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication56bd0ae9-f8da-4344-b9a2-f633d4f68b89
relation.isProjectOfPublicatione10435c9-8c92-457c-8297-a934e68afa16
relation.isProjectOfPublication81c64db6-e6be-4254-b4af-65a06886351b
relation.isProjectOfPublication.latestForDiscovery56bd0ae9-f8da-4344-b9a2-f633d4f68b89

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