Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices

Autores
Ghermandi, Luciana; Lanorte, Antonio; Oddi, Facundo José; Lasaponara, Rosa
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Available remote sensing historical Landsat TM images allow identifying of first order effects of wildfires also in huge and inaccessible regions. In this paper the usefulness of the best known satellitederived severity indices was tested on a large wildfire occurred in January 1999 in a steppe of Northwestern Patagonia. The main objective of the work was to analyze and compare the behavior of dNBR and RdNBR in their ability to discriminate the degrees of fire severity in semiarid ecosystems principally dominated by herbaceous vegetation. For this purpose the values of the two indexes were compared in all vegetation communities (shrubl and, meadow, grassland and forestation). To interpret the results, we considered the variability of the principal factors that influence the fire severity, as fire intensity, fire duration and vegetation susceptibility to fire. The analysis showed that the interaction between fire and vegetation changes the fire effects because the vegetation parameter as fuel load, moisture content, species composition, horizontal continuity and the topography affect the fire behavior and then the fire severity. Furthermore the results suggest that dNBR and RdNBR provide substantially different information respectively related to the effects on soil and vegetation. This work is an important contribution to the utilization of fire severity indexes in ecosystems dominated by herbaceous species that change more subtly the post-fire biomass than ecosystems dominated by woody species.
Fil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina
Fil: Lanorte, Antonio. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; Italia
Fil: Oddi, Facundo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina
Fil: Lasaponara, Rosa. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; Italia
Materia
Grassland fires
Remote sensing
Fire severity
Patagonia
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/123329
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR IndicesGhermandi, LucianaLanorte, AntonioOddi, Facundo JoséLasaponara, RosaGrassland firesRemote sensingFire severityPatagoniahttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Available remote sensing historical Landsat TM images allow identifying of first order effects of wildfires also in huge and inaccessible regions. In this paper the usefulness of the best known satellitederived severity indices was tested on a large wildfire occurred in January 1999 in a steppe of Northwestern Patagonia. The main objective of the work was to analyze and compare the behavior of dNBR and RdNBR in their ability to discriminate the degrees of fire severity in semiarid ecosystems principally dominated by herbaceous vegetation. For this purpose the values of the two indexes were compared in all vegetation communities (shrubl and, meadow, grassland and forestation). To interpret the results, we considered the variability of the principal factors that influence the fire severity, as fire intensity, fire duration and vegetation susceptibility to fire. The analysis showed that the interaction between fire and vegetation changes the fire effects because the vegetation parameter as fuel load, moisture content, species composition, horizontal continuity and the topography affect the fire behavior and then the fire severity. Furthermore the results suggest that dNBR and RdNBR provide substantially different information respectively related to the effects on soil and vegetation. This work is an important contribution to the utilization of fire severity indexes in ecosystems dominated by herbaceous species that change more subtly the post-fire biomass than ecosystems dominated by woody species.Fil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; ArgentinaFil: Lanorte, Antonio. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; ItaliaFil: Oddi, Facundo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; ArgentinaFil: Lasaponara, Rosa. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; ItaliaGlobal Journals2019-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/123329Ghermandi, Luciana; Lanorte, Antonio; Oddi, Facundo José; Lasaponara, Rosa; Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices; Global Journals; Global Journal of Science Frontier Research; 19; 1; 31-3-2019; 27-440975-58962249-4626CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journalofscience.org/index.php/GJSFR/issue/view/388info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:55:28Zoai:ri.conicet.gov.ar:11336/123329instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:55:28.698CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
title Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
spellingShingle Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
Ghermandi, Luciana
Grassland fires
Remote sensing
Fire severity
Patagonia
title_short Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
title_full Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
title_fullStr Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
title_full_unstemmed Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
title_sort Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices
dc.creator.none.fl_str_mv Ghermandi, Luciana
Lanorte, Antonio
Oddi, Facundo José
Lasaponara, Rosa
author Ghermandi, Luciana
author_facet Ghermandi, Luciana
Lanorte, Antonio
Oddi, Facundo José
Lasaponara, Rosa
author_role author
author2 Lanorte, Antonio
Oddi, Facundo José
Lasaponara, Rosa
author2_role author
author
author
dc.subject.none.fl_str_mv Grassland fires
Remote sensing
Fire severity
Patagonia
topic Grassland fires
Remote sensing
Fire severity
Patagonia
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Available remote sensing historical Landsat TM images allow identifying of first order effects of wildfires also in huge and inaccessible regions. In this paper the usefulness of the best known satellitederived severity indices was tested on a large wildfire occurred in January 1999 in a steppe of Northwestern Patagonia. The main objective of the work was to analyze and compare the behavior of dNBR and RdNBR in their ability to discriminate the degrees of fire severity in semiarid ecosystems principally dominated by herbaceous vegetation. For this purpose the values of the two indexes were compared in all vegetation communities (shrubl and, meadow, grassland and forestation). To interpret the results, we considered the variability of the principal factors that influence the fire severity, as fire intensity, fire duration and vegetation susceptibility to fire. The analysis showed that the interaction between fire and vegetation changes the fire effects because the vegetation parameter as fuel load, moisture content, species composition, horizontal continuity and the topography affect the fire behavior and then the fire severity. Furthermore the results suggest that dNBR and RdNBR provide substantially different information respectively related to the effects on soil and vegetation. This work is an important contribution to the utilization of fire severity indexes in ecosystems dominated by herbaceous species that change more subtly the post-fire biomass than ecosystems dominated by woody species.
Fil: Ghermandi, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina
Fil: Lanorte, Antonio. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; Italia
Fil: Oddi, Facundo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. - Universidad Nacional de Rio Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina
Fil: Lasaponara, Rosa. Consiglio Nazionale delle Ricerche; Italia. Istituto di Metodologie per l Analisi Ambientale; Italia
description Available remote sensing historical Landsat TM images allow identifying of first order effects of wildfires also in huge and inaccessible regions. In this paper the usefulness of the best known satellitederived severity indices was tested on a large wildfire occurred in January 1999 in a steppe of Northwestern Patagonia. The main objective of the work was to analyze and compare the behavior of dNBR and RdNBR in their ability to discriminate the degrees of fire severity in semiarid ecosystems principally dominated by herbaceous vegetation. For this purpose the values of the two indexes were compared in all vegetation communities (shrubl and, meadow, grassland and forestation). To interpret the results, we considered the variability of the principal factors that influence the fire severity, as fire intensity, fire duration and vegetation susceptibility to fire. The analysis showed that the interaction between fire and vegetation changes the fire effects because the vegetation parameter as fuel load, moisture content, species composition, horizontal continuity and the topography affect the fire behavior and then the fire severity. Furthermore the results suggest that dNBR and RdNBR provide substantially different information respectively related to the effects on soil and vegetation. This work is an important contribution to the utilization of fire severity indexes in ecosystems dominated by herbaceous species that change more subtly the post-fire biomass than ecosystems dominated by woody species.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-31
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/123329
Ghermandi, Luciana; Lanorte, Antonio; Oddi, Facundo José; Lasaponara, Rosa; Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices; Global Journals; Global Journal of Science Frontier Research; 19; 1; 31-3-2019; 27-44
0975-5896
2249-4626
CONICET Digital
CONICET
url http://hdl.handle.net/11336/123329
identifier_str_mv Ghermandi, Luciana; Lanorte, Antonio; Oddi, Facundo José; Lasaponara, Rosa; Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices; Global Journals; Global Journal of Science Frontier Research; 19; 1; 31-3-2019; 27-44
0975-5896
2249-4626
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journalofscience.org/index.php/GJSFR/issue/view/388
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Global Journals
publisher.none.fl_str_mv Global Journals
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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