Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye

Detalhes bibliográficos
Autor(a) principal: ÖZER GENÇ, Cigdem
Data de Publicação: 2023
Outros Autores: KÜÇÜK, Ömer, ÖZDEN KELEŞ, Seray, ÜNAL, Sabri
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/3230
Resumo: Backgroud: Forest fires are one of the most important natural disasters all over the world in terms of the damage they cause to the ecosystem. It is observed that there is a significant increase in the number of forest fires in Türkiye and in the world. This situation jeopardizes the sustainability of forests. It is very important to estimate fire behavior characteristics in order to take pre-fire measures and to take effective interventions in the event of a fire. Obtaining data based on terrestrial measurements to predict fire behavior is both very expensive and very time consuming. At this point, the use of remote sensing technologies is very useful. In this respect, using satellite images to determine the areas destroyed by fire and their burning severity will be faster, more sensitive and economical in terms of fire fighting and precautions to be taken. Results: In this study, the forest fire that occurred in Kastamonu-Taşköprü district was analyzed with remote sensing techniques. First of all, pre-fire and post-fire Sentinel-2 images of fire areas were used to determine the burned area using NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices. Also, burned area rate and burn severity were evaluated the depending on the altitude, aspect and slope factors. Conclusion: We found that almost 1504.9 ha forest land burned in the study site. Topographical maps showed that the most burned areas were covered by moderate- and high- severity classes. The forest fire was more severe in the altitude range from 1170 to 1370m, at 20-33% slope and northerly aspects in our study site.
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spelling Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, TürkiyeForest fire, Sentinel-2, Burn severity, Topographic factors, Black pine forestsBackgroud: Forest fires are one of the most important natural disasters all over the world in terms of the damage they cause to the ecosystem. It is observed that there is a significant increase in the number of forest fires in Türkiye and in the world. This situation jeopardizes the sustainability of forests. It is very important to estimate fire behavior characteristics in order to take pre-fire measures and to take effective interventions in the event of a fire. Obtaining data based on terrestrial measurements to predict fire behavior is both very expensive and very time consuming. At this point, the use of remote sensing technologies is very useful. In this respect, using satellite images to determine the areas destroyed by fire and their burning severity will be faster, more sensitive and economical in terms of fire fighting and precautions to be taken. Results: In this study, the forest fire that occurred in Kastamonu-Taşköprü district was analyzed with remote sensing techniques. First of all, pre-fire and post-fire Sentinel-2 images of fire areas were used to determine the burned area using NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices. Also, burned area rate and burn severity were evaluated the depending on the altitude, aspect and slope factors. Conclusion: We found that almost 1504.9 ha forest land burned in the study site. Topographical maps showed that the most burned areas were covered by moderate- and high- severity classes. The forest fire was more severe in the altitude range from 1170 to 1370m, at 20-33% slope and northerly aspects in our study site.CERNECERNE2023-06-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/3230CERNE; Vol. 29 No. 1 (2023); e-103230CERNE; v. 29 n. 1 (2023); e-1032302317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/3230/1344http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessÖZER GENÇ, CigdemKÜÇÜK, ÖmerÖZDEN KELEŞ, SerayÜNAL, Sabri2023-06-21T12:42:54Zoai:cerne.ufla.br:article/3230Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2023-06-21T12:42:54Cerne (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
title Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
spellingShingle Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
ÖZER GENÇ, Cigdem
Forest fire, Sentinel-2, Burn severity, Topographic factors, Black pine forests
title_short Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
title_full Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
title_fullStr Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
title_full_unstemmed Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
title_sort Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Türkiye
author ÖZER GENÇ, Cigdem
author_facet ÖZER GENÇ, Cigdem
KÜÇÜK, Ömer
ÖZDEN KELEŞ, Seray
ÜNAL, Sabri
author_role author
author2 KÜÇÜK, Ömer
ÖZDEN KELEŞ, Seray
ÜNAL, Sabri
author2_role author
author
author
dc.contributor.author.fl_str_mv ÖZER GENÇ, Cigdem
KÜÇÜK, Ömer
ÖZDEN KELEŞ, Seray
ÜNAL, Sabri
dc.subject.por.fl_str_mv Forest fire, Sentinel-2, Burn severity, Topographic factors, Black pine forests
topic Forest fire, Sentinel-2, Burn severity, Topographic factors, Black pine forests
description Backgroud: Forest fires are one of the most important natural disasters all over the world in terms of the damage they cause to the ecosystem. It is observed that there is a significant increase in the number of forest fires in Türkiye and in the world. This situation jeopardizes the sustainability of forests. It is very important to estimate fire behavior characteristics in order to take pre-fire measures and to take effective interventions in the event of a fire. Obtaining data based on terrestrial measurements to predict fire behavior is both very expensive and very time consuming. At this point, the use of remote sensing technologies is very useful. In this respect, using satellite images to determine the areas destroyed by fire and their burning severity will be faster, more sensitive and economical in terms of fire fighting and precautions to be taken. Results: In this study, the forest fire that occurred in Kastamonu-Taşköprü district was analyzed with remote sensing techniques. First of all, pre-fire and post-fire Sentinel-2 images of fire areas were used to determine the burned area using NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices. Also, burned area rate and burn severity were evaluated the depending on the altitude, aspect and slope factors. Conclusion: We found that almost 1504.9 ha forest land burned in the study site. Topographical maps showed that the most burned areas were covered by moderate- and high- severity classes. The forest fire was more severe in the altitude range from 1170 to 1370m, at 20-33% slope and northerly aspects in our study site.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/3230
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/3230/1344
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
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dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 29 No. 1 (2023); e-103230
CERNE; v. 29 n. 1 (2023); e-103230
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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