Severity analysis of burnt areas in the municipality of Poconé - MT
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/27882 |
Resumo: | The objective of this work was to analyze the severity of burned areas in the municipality of Poconé located in the State of Mato Grosso. Remote sensing techniques were used, using the OLI sensor (Operational Land Imager) of the Landsat 8 satellite to analyze the severity levels with 3 scenes in April (pre-fire) and 3 scenes in September (post-fire) The dNBR (Normalized Burn Ratio Difference) allowed the identification of 70,08% of burned areas in the total area of the municipality, reaching about 1.201.269,36 hectares. The areas affected by fires in the present biomes were also analyzed in the municipality , computing about 68,80% in the Cerrado biome and 70,41% in the Pantanal Biome, totaling an area of 228.947,09 ha and 972.038,65 ha, respectively. |
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Severity analysis of burnt areas in the municipality of Poconé - MTAnálisis de severidad de areas quemadas en el municipio de Poconé – MTAnálise de severidade de áreas queimadas no município de Poconé – MTSensoriamento remotoNBRPantanal.TeledetecciónNBRHumedal.Remote sensingNBRWetland.The objective of this work was to analyze the severity of burned areas in the municipality of Poconé located in the State of Mato Grosso. Remote sensing techniques were used, using the OLI sensor (Operational Land Imager) of the Landsat 8 satellite to analyze the severity levels with 3 scenes in April (pre-fire) and 3 scenes in September (post-fire) The dNBR (Normalized Burn Ratio Difference) allowed the identification of 70,08% of burned areas in the total area of the municipality, reaching about 1.201.269,36 hectares. The areas affected by fires in the present biomes were also analyzed in the municipality , computing about 68,80% in the Cerrado biome and 70,41% in the Pantanal Biome, totaling an area of 228.947,09 ha and 972.038,65 ha, respectively.El objetivo de este trabajo fue analizar la severidad de las áreas quemadas en el municipio de Poconé ubicado en el Estado de Mato Grosso. Se utilizaron técnicas de teledetección utilizando el sensor OLI (Operational Land Imager) del satélite Landsat 8 para analizar los niveles de severidad con 3 escenas en abril (pre-incendio) y 3 escenas en septiembre (post-incendio) El dNBR (Normalized Burn Relación Diferencia) permitió identificar el 70,08% de áreas quemadas en el área total del municipio, alcanzando cerca de 1.201.269,36 hectáreas.También se analizaron las áreas afectadas por incendios en los biomas presentes en el municipio, computando alrededor del 68,80% en el Cerrado bioma y 70,41% en el Bioma Pantanal, totalizando una superficie de 228.947,09 ha y 972.038,65 ha, respectivamente.O objetivo deste trabalho foi analisar a severidade de áreas queimadas no município de Poconé localizado no Estado de Mato Grosso. Utilizou-se técnicas de sensoriamento remoto, utilizando o sensor OLI (Operational Land Imager) do satélite Landsat 8 para analisar os níveis de severidade com 3 cenas do mês de abril (pré-fogo) e 3 cenas do mês de setembro (pós-fogo. O dNBR (Normalized Burn Ratio Difference) permitiu identificar 70,08% de áreas queimadas da área total do município, atingindo cerca de 1.201.269,36 de hectares. As áreas atingidas pelos incêndios nos biomas presentes, também, foram analisadas no município, computando cerca de 68,80 % no bioma Cerrado e de 70,41% no Bioma Pantanal, somando uma área de 228.947,09 ha e 972.038,65 ha, respectivamente.Research, Society and Development2022-03-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2788210.33448/rsd-v11i5.27882Research, Society and Development; Vol. 11 No. 5; e6311527882Research, Society and Development; Vol. 11 Núm. 5; e6311527882Research, Society and Development; v. 11 n. 5; e63115278822525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/27882/24329Copyright (c) 2022 Mariane da Silva Novais; Evelin Dias Barros Latorraca; Adele Caroline Braga R. de Campos; Noelto da Cruz Teixeira; Geraldo Antônio Gomes de Almeida; Norka da Silva Albernaz Marciliohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNovais, Mariane da Silva Latorraca, Evelin Dias Barros Campos, Adele Caroline Braga R. de Teixeira, Noelto da Cruz Almeida, Geraldo Antônio Gomes deMarcilio, Norka da Silva Albernaz 2022-04-17T18:18:56Zoai:ojs.pkp.sfu.ca:article/27882Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:28.292988Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Severity analysis of burnt areas in the municipality of Poconé - MT Análisis de severidad de areas quemadas en el municipio de Poconé – MT Análise de severidade de áreas queimadas no município de Poconé – MT |
title |
Severity analysis of burnt areas in the municipality of Poconé - MT |
spellingShingle |
Severity analysis of burnt areas in the municipality of Poconé - MT Novais, Mariane da Silva Sensoriamento remoto NBR Pantanal. Teledetección NBR Humedal. Remote sensing NBR Wetland. |
title_short |
Severity analysis of burnt areas in the municipality of Poconé - MT |
title_full |
Severity analysis of burnt areas in the municipality of Poconé - MT |
title_fullStr |
Severity analysis of burnt areas in the municipality of Poconé - MT |
title_full_unstemmed |
Severity analysis of burnt areas in the municipality of Poconé - MT |
title_sort |
Severity analysis of burnt areas in the municipality of Poconé - MT |
author |
Novais, Mariane da Silva |
author_facet |
Novais, Mariane da Silva Latorraca, Evelin Dias Barros Campos, Adele Caroline Braga R. de Teixeira, Noelto da Cruz Almeida, Geraldo Antônio Gomes de Marcilio, Norka da Silva Albernaz |
author_role |
author |
author2 |
Latorraca, Evelin Dias Barros Campos, Adele Caroline Braga R. de Teixeira, Noelto da Cruz Almeida, Geraldo Antônio Gomes de Marcilio, Norka da Silva Albernaz |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Novais, Mariane da Silva Latorraca, Evelin Dias Barros Campos, Adele Caroline Braga R. de Teixeira, Noelto da Cruz Almeida, Geraldo Antônio Gomes de Marcilio, Norka da Silva Albernaz |
dc.subject.por.fl_str_mv |
Sensoriamento remoto NBR Pantanal. Teledetección NBR Humedal. Remote sensing NBR Wetland. |
topic |
Sensoriamento remoto NBR Pantanal. Teledetección NBR Humedal. Remote sensing NBR Wetland. |
description |
The objective of this work was to analyze the severity of burned areas in the municipality of Poconé located in the State of Mato Grosso. Remote sensing techniques were used, using the OLI sensor (Operational Land Imager) of the Landsat 8 satellite to analyze the severity levels with 3 scenes in April (pre-fire) and 3 scenes in September (post-fire) The dNBR (Normalized Burn Ratio Difference) allowed the identification of 70,08% of burned areas in the total area of the municipality, reaching about 1.201.269,36 hectares. The areas affected by fires in the present biomes were also analyzed in the municipality , computing about 68,80% in the Cerrado biome and 70,41% in the Pantanal Biome, totaling an area of 228.947,09 ha and 972.038,65 ha, respectively. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-29 |
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://rsdjournal.org/index.php/rsd/article/view/27882 10.33448/rsd-v11i5.27882 |
url |
https://rsdjournal.org/index.php/rsd/article/view/27882 |
identifier_str_mv |
10.33448/rsd-v11i5.27882 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/27882/24329 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 5; e6311527882 Research, Society and Development; Vol. 11 Núm. 5; e6311527882 Research, Society and Development; v. 11 n. 5; e6311527882 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052708447846400 |