Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Biodiversidade Brasileira |
Texto Completo: | https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1068 |
Resumo: | Prescribed burning (PB) is a commonly used technique to reduce fuel loads, where fire is introduced under specific and controlled conditions before fire season, thus mitigating the risk and the adverse effects of wildland fire, and the associated high suppressions costs. Fire management agencies require estimations about recovery time over areas under prescribed fire activities in order to determine the extent and spatiotemporal pattern of required actions needed to reduce future fire risk. Post-fire dynamics is a complex phenomenon in which remote sensing techniques play a significant role, providing the opportunity to study fire effects and vegetation recovery over large areas on a long-term basis. In 2014, PB under the scope of the Integrated Fire Management (IFM) were started in some Conservation Units located at Cerrado. However, until now, there is a gap in studies investigating how vegetation behaves after those prescribed fires using satellite data. Therefore, here we aim to estimate and evaluate the vegetation recovery rate over areas managed with prescribed fires based on satellite-derived indexes. Time-series of spectral indices, such as Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI) and Burn Recovery Ratio (BRR), are derived from multi-spectral Landsat surface reflectance imagery through Google Earth Engine platform. Special attention is devoted to the identification of which factors are most important for the recovery process. The duration of the effectiveness of fuel reduction due to PB activities is analysed between 2010 and 2018, in order to verify pre e postIMF conditions. By evaluating the vegetation post-fire recovery time we envisage the construction of indicators about the longevity of the inhibitory effect of PB, allowing the quantification of its impacts on the incidence, severity and extent of unplanned fires. Thus, this work may provide clear directions in the IFM related to PB. |
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Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing DataVegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing DataVegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing DataPrescribed burning (PB) is a commonly used technique to reduce fuel loads, where fire is introduced under specific and controlled conditions before fire season, thus mitigating the risk and the adverse effects of wildland fire, and the associated high suppressions costs. Fire management agencies require estimations about recovery time over areas under prescribed fire activities in order to determine the extent and spatiotemporal pattern of required actions needed to reduce future fire risk. Post-fire dynamics is a complex phenomenon in which remote sensing techniques play a significant role, providing the opportunity to study fire effects and vegetation recovery over large areas on a long-term basis. In 2014, PB under the scope of the Integrated Fire Management (IFM) were started in some Conservation Units located at Cerrado. However, until now, there is a gap in studies investigating how vegetation behaves after those prescribed fires using satellite data. Therefore, here we aim to estimate and evaluate the vegetation recovery rate over areas managed with prescribed fires based on satellite-derived indexes. Time-series of spectral indices, such as Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI) and Burn Recovery Ratio (BRR), are derived from multi-spectral Landsat surface reflectance imagery through Google Earth Engine platform. Special attention is devoted to the identification of which factors are most important for the recovery process. The duration of the effectiveness of fuel reduction due to PB activities is analysed between 2010 and 2018, in order to verify pre e postIMF conditions. By evaluating the vegetation post-fire recovery time we envisage the construction of indicators about the longevity of the inhibitory effect of PB, allowing the quantification of its impacts on the incidence, severity and extent of unplanned fires. Thus, this work may provide clear directions in the IFM related to PB.Prescribed burning (PB) is a commonly used technique to reduce fuel loads, where fire is introduced under specific and controlled conditions before fire season, thus mitigating the risk and the adverse effects of wildland fire, and the associated high suppressions costs. Fire management agencies require estimations about recovery time over areas under prescribed fire activities in order to determine the extent and spatiotemporal pattern of required actions needed to reduce future fire risk. Post-fire dynamics is a complex phenomenon in which remote sensing techniques play a significant role, providing the opportunity to study fire effects and vegetation recovery over large areas on a long-term basis. In 2014, PB under the scope of the Integrated Fire Management (IFM) were started in some Conservation Units located at Cerrado. However, until now, there is a gap in studies investigating how vegetation behaves after those prescribed fires using satellite data. Therefore, here we aim to estimate and evaluate the vegetation recovery rate over areas managed with prescribed fires based on satellite-derived indexes. Time-series of spectral indices, such as Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI) and Burn Recovery Ratio (BRR), are derived from multi-spectral Landsat surface reflectance imagery through Google Earth Engine platform. Special attention is devoted to the identification of which factors are most important for the recovery process. The duration of the effectiveness of fuel reduction due to PB activities is analysed between 2010 and 2018, in order to verify pre e postIMF conditions. By evaluating the vegetation post-fire recovery time we envisage the construction of indicators about the longevity of the inhibitory effect of PB, allowing the quantification of its impacts on the incidence, severity and extent of unplanned fires. Thus, this work may provide clear directions in the IFM related to PB.Prescribed burning (PB) is a commonly used technique to reduce fuel loads, where fire is introduced under specific and controlled conditions before fire season, thus mitigating the risk and the adverse effects of wildland fire, and the associated high suppressions costs. Fire management agencies require estimations about recovery time over areas under prescribed fire activities in order to determine the extent and spatiotemporal pattern of required actions needed to reduce future fire risk. Post-fire dynamics is a complex phenomenon in which remote sensing techniques play a significant role, providing the opportunity to study fire effects and vegetation recovery over large areas on a long-term basis. In 2014, PB under the scope of the Integrated Fire Management (IFM) were started in some Conservation Units located at Cerrado. However, until now, there is a gap in studies investigating how vegetation behaves after those prescribed fires using satellite data. Therefore, here we aim to estimate and evaluate the vegetation recovery rate over areas managed with prescribed fires based on satellite-derived indexes. Time-series of spectral indices, such as Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI) and Burn Recovery Ratio (BRR), are derived from multi-spectral Landsat surface reflectance imagery through Google Earth Engine platform. Special attention is devoted to the identification of which factors are most important for the recovery process. The duration of the effectiveness of fuel reduction due to PB activities is analysed between 2010 and 2018, in order to verify pre e postIMF conditions. By evaluating the vegetation post-fire recovery time we envisage the construction of indicators about the longevity of the inhibitory effect of PB, allowing the quantification of its impacts on the incidence, severity and extent of unplanned fires. Thus, this work may provide clear directions in the IFM related to PB.Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)2019-11-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaeletronica.icmbio.gov.br/BioBR/article/view/106810.37002/biodiversidadebrasileira.v9i1.1068Biodiversidade Brasileira ; v. 9 n. 1 (2019): Wildfire Conference: Resumos; 166Biodiversidade Brasileira ; Vol. 9 No. 1 (2019): Wildfire Conference: Resumos; 166Biodiversidade Brasileira ; Vol. 9 Núm. 1 (2019): Wildfire Conference: Resumos; 1662236-288610.37002/biodiversidadebrasileira.v9i1reponame:Biodiversidade Brasileirainstname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)instacron:ICMBIOenghttps://revistaeletronica.icmbio.gov.br/BioBR/article/view/1068/813Copyright (c) 2021 Biodiversidade Brasileira - BioBrasilhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessLemos Maia Santos, FilippeAbrantes Rodrigues, JuliaArantes Pereira, Allande Faria Peres, LeonardoGouveia, CéliaLibonati, Renata2023-05-09T12:56:02Zoai:revistaeletronica.icmbio.gov.br:article/1068Revistahttps://revistaeletronica.icmbio.gov.br/BioBRPUBhttps://revistaeletronica.icmbio.gov.br/BioBR/oaifernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br2236-28862236-2886opendoar:2023-05-09T12:56:02Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)false |
dc.title.none.fl_str_mv |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
title |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
spellingShingle |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data Lemos Maia Santos, Filippe |
title_short |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
title_full |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
title_fullStr |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
title_full_unstemmed |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
title_sort |
Vegetation Recovery Analysis Over Areas Managed with Prescribed Fires: an Approach Using Remote Sensing Data |
author |
Lemos Maia Santos, Filippe |
author_facet |
Lemos Maia Santos, Filippe Abrantes Rodrigues, Julia Arantes Pereira, Allan de Faria Peres, Leonardo Gouveia, Célia Libonati, Renata |
author_role |
author |
author2 |
Abrantes Rodrigues, Julia Arantes Pereira, Allan de Faria Peres, Leonardo Gouveia, Célia Libonati, Renata |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lemos Maia Santos, Filippe Abrantes Rodrigues, Julia Arantes Pereira, Allan de Faria Peres, Leonardo Gouveia, Célia Libonati, Renata |
description |
Prescribed burning (PB) is a commonly used technique to reduce fuel loads, where fire is introduced under specific and controlled conditions before fire season, thus mitigating the risk and the adverse effects of wildland fire, and the associated high suppressions costs. Fire management agencies require estimations about recovery time over areas under prescribed fire activities in order to determine the extent and spatiotemporal pattern of required actions needed to reduce future fire risk. Post-fire dynamics is a complex phenomenon in which remote sensing techniques play a significant role, providing the opportunity to study fire effects and vegetation recovery over large areas on a long-term basis. In 2014, PB under the scope of the Integrated Fire Management (IFM) were started in some Conservation Units located at Cerrado. However, until now, there is a gap in studies investigating how vegetation behaves after those prescribed fires using satellite data. Therefore, here we aim to estimate and evaluate the vegetation recovery rate over areas managed with prescribed fires based on satellite-derived indexes. Time-series of spectral indices, such as Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI) and Burn Recovery Ratio (BRR), are derived from multi-spectral Landsat surface reflectance imagery through Google Earth Engine platform. Special attention is devoted to the identification of which factors are most important for the recovery process. The duration of the effectiveness of fuel reduction due to PB activities is analysed between 2010 and 2018, in order to verify pre e postIMF conditions. By evaluating the vegetation post-fire recovery time we envisage the construction of indicators about the longevity of the inhibitory effect of PB, allowing the quantification of its impacts on the incidence, severity and extent of unplanned fires. Thus, this work may provide clear directions in the IFM related to PB. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1068 10.37002/biodiversidadebrasileira.v9i1.1068 |
url |
https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1068 |
identifier_str_mv |
10.37002/biodiversidadebrasileira.v9i1.1068 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1068/813 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Biodiversidade Brasileira - BioBrasil https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Biodiversidade Brasileira - BioBrasil https://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 |
Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) |
publisher.none.fl_str_mv |
Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) |
dc.source.none.fl_str_mv |
Biodiversidade Brasileira ; v. 9 n. 1 (2019): Wildfire Conference: Resumos; 166 Biodiversidade Brasileira ; Vol. 9 No. 1 (2019): Wildfire Conference: Resumos; 166 Biodiversidade Brasileira ; Vol. 9 Núm. 1 (2019): Wildfire Conference: Resumos; 166 2236-2886 10.37002/biodiversidadebrasileira.v9i1 reponame:Biodiversidade Brasileira instname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO) instacron:ICMBIO |
instname_str |
Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO) |
instacron_str |
ICMBIO |
institution |
ICMBIO |
reponame_str |
Biodiversidade Brasileira |
collection |
Biodiversidade Brasileira |
repository.name.fl_str_mv |
Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO) |
repository.mail.fl_str_mv |
fernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br |
_version_ |
1797042391518019584 |