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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorPalaiologou, Palaiologos-
dc.contributor.authorKalabokidis, Kostas-
dc.contributor.authorKyriakidis, Phaedon-
dc.date.accessioned2016-07-11T11:37:35Z-
dc.date.available2016-07-11T11:37:35Z-
dc.date.issued2013-03-25-
dc.identifier.citationInternational Journal of Remote Sensing, 2013, vol. 34, no. 12, pp. 4466-4490en_US
dc.identifier.issn13665901-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/8639-
dc.description.abstractThis study aims at quantifying and mapping fire-related characteristics of forest structure through field inventories, statistics, remote sensing, and geographical information systems in the island of Lesvos, northeast Aegean Sea, Greece. Simulation of fire behaviour requires forest biomass inputs that describe surface fuel types/models along with canopy fuel properties, such as canopy cover, stand height, crown base height, and crown bulk density, to accurately predict surface and crown fire spread and spotting potential. Forest canopy characteristics and other vegetation attributes were sampled and derived in over 100 field plots, the majority of which were located in coastal pine forest stands. Regression models involving four dependent forest stand variables (stand height, canopy cover, crown base height, and crown bulk density) were developed using generalized additive models. The values of adjusted R2 were 0.72 for stand height, 0.68 for canopy cover, 0.51 for crown base height, and 0.33 for crown bulk density. These regression models were used to create forest fuel characteristics layers, which can be used as inputs to fire management applications and state-of-the-art landscape-scale fire behaviour modelen_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Remote Sensingen_US
dc.rights© Taylor & Francisen_US
dc.subjectForest mappingen_US
dc.subjectGeoinformaticsen_US
dc.subjectCoastal forestsen_US
dc.subjectGreeceen_US
dc.subjectLesvosen_US
dc.titleForest mapping by geoinformatics for landscape fire behaviour modelling in coastal forests, Greeceen_US
dc.typeArticleen_US
dc.collaborationUniversity of Aegeanen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/01431161.2013.779399en_US
dc.dept.handle123456789/54en
dc.relation.issue12en_US
dc.relation.volume34en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage4466en_US
dc.identifier.epage4490en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1366-5901-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4222-8567-
crisitem.author.parentorgFaculty of Engineering and Technology-
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