Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard

Detalhes bibliográficos
Autor(a) principal: Sakellariou, Stavros
Data de Publicação: 2020
Outros Autores: Cabral, Pedro, Caetano, Mário, Pla, Filiberto, Painho, Marco, Christopoulou, Olga, Sfougaris, Athanassios, Dalezios, Nicolas, Vasilakos, Christos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/104069
Resumo: Sakellariou, S., Cabral, P., Caetano, M., Pla, F., Painho, M., Christopoulou, O., ... Vasilakos, C. (2020). Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard. Sensors (Switzerland), 20(17), 1-20. [5014]. https://doi.org/10.3390/s20175014
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spelling Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazardAnalytical Hierarchy ProcessForest fire hazardFuzzy logicRemote sensingSpatial variabilitySpatiotemporal analysisAnalytical ChemistryBiochemistryAtomic and Molecular Physics, and OpticsInstrumentationElectrical and Electronic EngineeringSDG 11 - Sustainable Cities and CommunitiesSDG 13 - Climate ActionSDG 15 - Life on LandSakellariou, S., Cabral, P., Caetano, M., Pla, F., Painho, M., Christopoulou, O., ... Vasilakos, C. (2020). Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard. Sensors (Switzerland), 20(17), 1-20. [5014]. https://doi.org/10.3390/s20175014Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier with higher levels of droughts, leading to higher fire severity. The main aim of this paper is to perform a spatiotemporal analysis and explore the variability of fire hazard in a small Greek island, Skiathos (a prototype case of fragile environment) where the land uses mixture is very high. First, a comparative assessment of two robust modeling techniques was examined, namely, the Analytical Hierarchy Process (AHP) knowledge-based and the fuzzy logic AHP to estimate the fire hazard in a timeframe of 20 years (1996–2016). The former technique was proven more representative after the comparative assessment with the real fire perimeters recorded on the island (1984–2016). Next, we explored the spatiotemporal dynamics of fire hazard, highlighting the risk changes in space and time through the individual and collective contribution of the most significant factors (topography, vegetation features, anthropogenic influence). The fire hazard changes were not dramatic, however, some changes have been observed in the southwestern and northern part of the island. The geostatistical analysis revealed a significant clustering process of high-risk values in the southwestern and northern part of the study area, whereas some clusters of low-risk values have been located in the northern territory. The degree of spatial autocorrelation tends to be greater for 1996 rather than for 2016, indicating the potential higher transmission of fires at the most susceptible regions in the past. The knowledge of long-term fire hazard dynamics, based on multiple types of remotely sensed data, may provide the fire and land managers with valuable fire prevention and land use planning tools.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNSakellariou, StavrosCabral, PedroCaetano, MárioPla, FilibertoPainho, MarcoChristopoulou, OlgaSfougaris, AthanassiosDalezios, NicolasVasilakos, Christos2020-09-14T22:36:15Z2020-09-032020-09-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/104069eng1424-8220PURE: 19827865https://doi.org/10.3390/s20175014info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:49:35Zoai:run.unl.pt:10362/104069Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:07.092972Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
title Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
spellingShingle Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
Sakellariou, Stavros
Analytical Hierarchy Process
Forest fire hazard
Fuzzy logic
Remote sensing
Spatial variability
Spatiotemporal analysis
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
title_full Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
title_fullStr Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
title_full_unstemmed Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
title_sort Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
author Sakellariou, Stavros
author_facet Sakellariou, Stavros
Cabral, Pedro
Caetano, Mário
Pla, Filiberto
Painho, Marco
Christopoulou, Olga
Sfougaris, Athanassios
Dalezios, Nicolas
Vasilakos, Christos
author_role author
author2 Cabral, Pedro
Caetano, Mário
Pla, Filiberto
Painho, Marco
Christopoulou, Olga
Sfougaris, Athanassios
Dalezios, Nicolas
Vasilakos, Christos
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Sakellariou, Stavros
Cabral, Pedro
Caetano, Mário
Pla, Filiberto
Painho, Marco
Christopoulou, Olga
Sfougaris, Athanassios
Dalezios, Nicolas
Vasilakos, Christos
dc.subject.por.fl_str_mv Analytical Hierarchy Process
Forest fire hazard
Fuzzy logic
Remote sensing
Spatial variability
Spatiotemporal analysis
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Analytical Hierarchy Process
Forest fire hazard
Fuzzy logic
Remote sensing
Spatial variability
Spatiotemporal analysis
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
SDG 15 - Life on Land
description Sakellariou, S., Cabral, P., Caetano, M., Pla, F., Painho, M., Christopoulou, O., ... Vasilakos, C. (2020). Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard. Sensors (Switzerland), 20(17), 1-20. [5014]. https://doi.org/10.3390/s20175014
publishDate 2020
dc.date.none.fl_str_mv 2020-09-14T22:36:15Z
2020-09-03
2020-09-03T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/104069
url http://hdl.handle.net/10362/104069
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
PURE: 19827865
https://doi.org/10.3390/s20175014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 20
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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