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dc.contributor.authorKrsnik, Goran
dc.contributor.authorBusquets Olivé, Eduard
dc.contributor.authorPiqué i Nicolau, Míriam
dc.contributor.authorLarrañaga, Asier
dc.contributor.authorCardil Forradellas, Adrián
dc.contributor.authorGarcia Gonzalo, Jordi
dc.contributor.authorGonzález-Olabarria, José Ramón
dc.date.accessioned2021-01-13T10:51:54Z
dc.date.available2021-01-13T10:51:54Z
dc.date.issued2020-12-17
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10459.1/70189
dc.description.abstractBoth fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia.ca_ES
dc.description.sponsorshipThis research was funded by the Departament d’Agricultura, Ramaderia, Pesca i Alimentació, of the Generalitat de Catalunya. Goran Krsnik acknowledges funding from AGAUR though the scholarship FI_B2 00147. J Garcia Gonzalo and JR Gonzalez Olabarria received funding from Spanish Ministry of Economy and Business (MINECO) and from Agency for the Research Centre of Catalonia (CERCA Programme/Generalitat de Catalunya).ca_ES
dc.language.isoengca_ES
dc.publisherMDPIca_ES
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/rs12244124ca_ES
dc.relation.ispartofRemote Sensing, 2020, vol. 12, núm. 24, p. 4124ca_ES
dc.rightscc-by, (c) Krsnik, Goran et al., 2020ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectForest fire preventionca_ES
dc.subjectFire hazardca_ES
dc.subjectFire simulationca_ES
dc.subjectOpen access serverca_ES
dc.subjectFuel modellingca_ES
dc.subjectWeather scenarios modellingca_ES
dc.subjectGeospatial datasetca_ES
dc.titleRegional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planningca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.3390/rs12244124


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cc-by, (c) Krsnik, Goran et al., 2020
Except where otherwise noted, this item's license is described as cc-by, (c) Krsnik, Goran et al., 2020