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Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

dc.contributor.authorChuvieco, Emelio
dc.contributor.authorAguado, Inmaculada
dc.contributor.authorYebra, Marta
dc.contributor.authorNieto, Hector
dc.contributor.authorSalas, Javier
dc.contributor.authorPilar, Martin
dc.contributor.authorLara, Vilar
dc.contributor.authorMartinez, Javier
dc.contributor.authorMartin, Susana
dc.contributor.authorIbarra, Paloma
dc.contributor.authorde la Riva, Juan
dc.contributor.authorBaeza, Jamie
dc.contributor.authorRodriguez, Francisco
dc.contributor.authorMolina, Juan R
dc.contributor.authorHerrera, Miguel A
dc.contributor.authorZamora, Ricardo
dc.date.accessioned2015-12-07T22:14:29Z
dc.date.issued2010
dc.date.updated2022-04-24T08:16:57Z
dc.description.abstractForest fires play a critical role in landscape transformation, vegetation succession, soil degradation and air quality. Improvements in fire risk estimation are vital to reduce the negative impacts of fire, either by lessen burn severity or intensity through fuel management, or by aiding the natural vegetation recovery using post-fire treatments. This paper presents the methods to generate the input variables and the risk integration developed within the Firemap project (funded under the Spanish Ministry of Science and Technology) to map wildland fire risk for several regions of Spain. After defining the conceptual scheme for fire risk assessment, the paper describes the methods used to generate the risk parameters, and presents proposals for their integration into synthetic risk indices. The generation of the input variables was based on an extensive use of geographic information system and remote sensing technologies, since the project was intended to provide a spatial and temporal assessment of risk conditions. All variables were mapped at 1 km2 spatial resolution, and were integrated into a web-mapping service system. This service was active in the summer of 2007 for semi-operational testing of end-users. The paper also presents the first validation results of the danger index, by comparing temporal trends of different danger components and fire occurrence in the different study regions. � 2008 Elsevier B.V. All rights reserved.
dc.identifier.issn0304-3800
dc.identifier.urihttp://hdl.handle.net/1885/17448
dc.publisherElsevier
dc.sourceEcological Modelling
dc.subjectKeywords: Fire danger; Fire risks; Fuel moisture content; Human factors; Logistic regression; Logistic regressions; Air quality; Deforestation; Fires; Fuels; Geographic information systems; Human engineering; Information systems; Information use; Lightning; Moistur Fire danger; Fire risk; Fuel moisture content; Geographic information systems; Human factors; Lightning; Logistic regression; Remote sensing
dc.titleDevelopment of a framework for fire risk assessment using remote sensing and geographic information system technologies
dc.typeJournal article
local.bibliographicCitation.issue1
local.bibliographicCitation.lastpage58
local.bibliographicCitation.startpage46
local.contributor.affiliationChuvieco, Emelio, University of Alcala
local.contributor.affiliationAguado, Inmaculada, Universidad de Aclala
local.contributor.affiliationYebra, Marta, ANU Independent operations, ANU
local.contributor.affiliationNieto, Hector, Universidad de Alcala
local.contributor.affiliationSalas, Javier, Universidad de Alcala
local.contributor.affiliationM Pilar, Martin, Universidad de Alcala
local.contributor.affiliationLara , Vilar, Instituto de Economia CSIC
local.contributor.affiliationMartinez, Javier, Instituto de Economia CSIC
local.contributor.affiliationMartin, Susana, Ciudad Universitaria s/n
local.contributor.affiliationIbarra, Paloma, Universidad de Zaragoza
local.contributor.affiliationde la Riva, Juan, Universidad de Zaragoza
local.contributor.affiliationBaeza, Jamie, C/Charles Darwin 14, Paraque Tecnologico
local.contributor.affiliationRodriguez , Francisco, Universidad de Cordoba
local.contributor.affiliationMolina, Juan R, Universidad de Cordoba
local.contributor.affiliationHerrera, Miguel A, Universidad de Cordoba
local.contributor.affiliationZamora, Ricardo, Universidad de Cordoba
local.contributor.authoruidYebra, Marta, u5620051
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090905 - Photogrammetry and Remote Sensing
local.identifier.absfor050102 - Ecosystem Function
local.identifier.absfor060705 - Plant Physiology
local.identifier.absseo961004 - Natural Hazards in Forest and Woodlands Environments
local.identifier.ariespublicationu5481510xPUB1
local.identifier.citationvolume221
local.identifier.doi10.1016/j.ecolmodel.2008.11.017
local.identifier.scopusID2-s2.0-70450260872
local.identifier.thomsonID000272929100006
local.type.statusPublished Version

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