GEOPROCESSING APPLIED TO RISK ASSESSMENT OF FOREST FIRES IN THE MUNICIPALITY OF BODOQUENA, MATO GROSSO DO SUL
Autor(a) principal: | |
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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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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 |
_version_ |
1750318002160533504 |