GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL

Detalhes bibliográficos
Autor(a) principal: Bacani,Vitor Matheus
Data de Publicação: 2016
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Árvore (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000601003
Resumo: ABSTRACT Forest fires are a permanent threat in urban-forest interface areas and cause considerable environmental damage, especially in protected areas. An efficient way to assist decision-making to prevent an increase in forest fires is risk assessment using geographical information systems (GIS). The objective of this study was to evaluate the risk of forest fires in the municipality of Bodoquena, Mato Grosso do Sul, Brazil, using remote sensing data and spatial analysis techniques implemented in a GIS. The procedures of the methodology are based on spatial analysis techniques to prepare maps of the likelihood of fire based on calculations of the Euclidean distance, the Kernel statistical method and fuzzy transformation and to combine these maps via the increasing diffuse overlay method. The results showed a high risk of forest fires on the margins of the urban area, rural settlements and main roads that cross the municipality, as well as the surrounding areas. It is concluded that the municipality of Bodoquena has a high risk of forest fires in areas with high biodiversity, especially the areas surrounding the Serra da Bodoquena National Park and Mato Grosso do Sul Pantanal.
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spelling GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SULGISSerra da BodoquenaConservation UnitABSTRACT Forest fires are a permanent threat in urban-forest interface areas and cause considerable environmental damage, especially in protected areas. An efficient way to assist decision-making to prevent an increase in forest fires is risk assessment using geographical information systems (GIS). The objective of this study was to evaluate the risk of forest fires in the municipality of Bodoquena, Mato Grosso do Sul, Brazil, using remote sensing data and spatial analysis techniques implemented in a GIS. The procedures of the methodology are based on spatial analysis techniques to prepare maps of the likelihood of fire based on calculations of the Euclidean distance, the Kernel statistical method and fuzzy transformation and to combine these maps via the increasing diffuse overlay method. The results showed a high risk of forest fires on the margins of the urban area, rural settlements and main roads that cross the municipality, as well as the surrounding areas. It is concluded that the municipality of Bodoquena has a high risk of forest fires in areas with high biodiversity, especially the areas surrounding the Serra da Bodoquena National Park and Mato Grosso do Sul Pantanal.Sociedade de Investigações Florestais2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000601003Revista Árvore v.40 n.6 2016reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/0100-67622016000600005info:eu-repo/semantics/openAccessBacani,Vitor Matheuseng2017-03-08T00:00:00Zoai:scielo:S0100-67622016000601003Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2017-03-08T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
title GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
spellingShingle GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
Bacani,Vitor Matheus
GIS
Serra da Bodoquena
Conservation Unit
title_short GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
title_full GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
title_fullStr GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
title_full_unstemmed GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
title_sort GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
author Bacani,Vitor Matheus
author_facet Bacani,Vitor Matheus
author_role author
dc.contributor.author.fl_str_mv Bacani,Vitor Matheus
dc.subject.por.fl_str_mv GIS
Serra da Bodoquena
Conservation Unit
topic GIS
Serra da Bodoquena
Conservation Unit
description ABSTRACT Forest fires are a permanent threat in urban-forest interface areas and cause considerable environmental damage, especially in protected areas. An efficient way to assist decision-making to prevent an increase in forest fires is risk assessment using geographical information systems (GIS). The objective of this study was to evaluate the risk of forest fires in the municipality of Bodoquena, Mato Grosso do Sul, Brazil, using remote sensing data and spatial analysis techniques implemented in a GIS. The procedures of the methodology are based on spatial analysis techniques to prepare maps of the likelihood of fire based on calculations of the Euclidean distance, the Kernel statistical method and fuzzy transformation and to combine these maps via the increasing diffuse overlay method. The results showed a high risk of forest fires on the margins of the urban area, rural settlements and main roads that cross the municipality, as well as the surrounding areas. It is concluded that the municipality of Bodoquena has a high risk of forest fires in areas with high biodiversity, especially the areas surrounding the Serra da Bodoquena National Park and Mato Grosso do Sul Pantanal.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000601003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000601003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-67622016000600005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore v.40 n.6 2016
reponame:Revista Árvore (Online)
instname:Universidade Federal de Viçosa (UFV)
instacron:SIF
instname_str Universidade Federal de Viçosa (UFV)
instacron_str SIF
institution SIF
reponame_str Revista Árvore (Online)
collection Revista Árvore (Online)
repository.name.fl_str_mv Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv ||r.arvore@ufv.br
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