Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level

Fire severity assessment and mapping are essential for prioritizing post-fire emergency rehabilitation actions. The present study, carried out in Galicia (one of the regions most severely impacted by wildfire in the Iberian Peninsula), focused on 36 wildfires affecting areas of more than 200 ha duri...

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Autores: Arellano Pérez, Stéfano, Ruiz González, Ana Daría, Álvarez González, Juan Gabriel, Vega Hidalgo, José Antonio, Díaz Varela, Ramón Alberto, Alonso Rego, Cecilia
Tipo de recurso: capítulo de libro
Fecha de publicación:2018
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/42534
Acceso en línea:https://hdl.handle.net/10347/42534
Access Level:acceso abierto
Palabra clave:Fire severity
Landsat
dNBR
Fire mapping
Crown
Damage
EGIF
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spelling Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity levelArellano Pérez, StéfanoRuiz González, Ana DaríaÁlvarez González, Juan GabrielVega Hidalgo, José AntonioDíaz Varela, Ramón AlbertoAlonso Rego, CeciliaFire severityLandsatdNBRFire mappingCrownDamageEGIFFire severity assessment and mapping are essential for prioritizing post-fire emergency rehabilitation actions. The present study, carried out in Galicia (one of the regions most severely impacted by wildfire in the Iberian Peninsula), focused on 36 wildfires affecting areas of more than 200 ha during the period 2006- 2016. The aims of the study were i) to map the severity in these wildfires by using the differenced Normalized Burn Ratio (dNBR) index, and ii) to explore how the highest levels of fire severity and canopy damage are related to topographical, meteorological and forest fuel variables. Pre and post-fire Landsat images (Path 204 and Row 31), provided by the European Space Agency (ESA), were radiometrically and topographically corrected. The dNBR index was calculated for each wildfire, and the values obtained were used to establish four classes of fire severity and four levels of canopy damage. A total of 23 topographical, meteorological and fuel variables were also determined in order to characterize each wildfire. The non-parametric Random Forests method was used to relate the burned area (%) corresponding to the highest levels of fire severity and crown fire damage to the various environmental variables. The variables that best differentiated the most severely burned areas were in both cases wind speed and percentage of burned area with slope ranging from 30 to 45%.University of CoimbraViegas, Domingos XavierUniversidade de Santiago de Compostela. Departamento de Botánica20182018-01-0120182018-01-01book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/10347/42534reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available RTA2014-00011-C06-04open accesshttp://purl.org/coar/access_right/c_abf2© 2021 University of Coimbrahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/425342026-06-15T12:47:27Z
dc.title.none.fl_str_mv Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
title Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
spellingShingle Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
Arellano Pérez, Stéfano
Fire severity
Landsat
dNBR
Fire mapping
Crown
Damage
EGIF
title_short Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
title_full Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
title_fullStr Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
title_full_unstemmed Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
title_sort Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: Preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level
dc.creator.none.fl_str_mv Arellano Pérez, Stéfano
Ruiz González, Ana Daría
Álvarez González, Juan Gabriel
Vega Hidalgo, José Antonio
Díaz Varela, Ramón Alberto
Alonso Rego, Cecilia
author Arellano Pérez, Stéfano
author_facet Arellano Pérez, Stéfano
Ruiz González, Ana Daría
Álvarez González, Juan Gabriel
Vega Hidalgo, José Antonio
Díaz Varela, Ramón Alberto
Alonso Rego, Cecilia
author_role author
author2 Ruiz González, Ana Daría
Álvarez González, Juan Gabriel
Vega Hidalgo, José Antonio
Díaz Varela, Ramón Alberto
Alonso Rego, Cecilia
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Viegas, Domingos Xavier
Universidade de Santiago de Compostela. Departamento de Botánica
dc.subject.none.fl_str_mv Fire severity
Landsat
dNBR
Fire mapping
Crown
Damage
EGIF
topic Fire severity
Landsat
dNBR
Fire mapping
Crown
Damage
EGIF
description Fire severity assessment and mapping are essential for prioritizing post-fire emergency rehabilitation actions. The present study, carried out in Galicia (one of the regions most severely impacted by wildfire in the Iberian Peninsula), focused on 36 wildfires affecting areas of more than 200 ha during the period 2006- 2016. The aims of the study were i) to map the severity in these wildfires by using the differenced Normalized Burn Ratio (dNBR) index, and ii) to explore how the highest levels of fire severity and canopy damage are related to topographical, meteorological and forest fuel variables. Pre and post-fire Landsat images (Path 204 and Row 31), provided by the European Space Agency (ESA), were radiometrically and topographically corrected. The dNBR index was calculated for each wildfire, and the values obtained were used to establish four classes of fire severity and four levels of canopy damage. A total of 23 topographical, meteorological and fuel variables were also determined in order to characterize each wildfire. The non-parametric Random Forests method was used to relate the burned area (%) corresponding to the highest levels of fire severity and crown fire damage to the various environmental variables. The variables that best differentiated the most severely burned areas were in both cases wind speed and percentage of burned area with slope ranging from 30 to 45%.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
2018
2018-01-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/10347/42534
url https://hdl.handle.net/10347/42534
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available RTA2014-00011-C06-04
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
© 2021 University of Coimbra
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
© 2021 University of Coimbra
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv University of Coimbra
publisher.none.fl_str_mv University of Coimbra
dc.source.none.fl_str_mv reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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