UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park

Detalhes bibliográficos
Autor(a) principal: Braga Belchior, Isabela
Data de Publicação: 2020
Outros Autores: Tavares de Carvalho, Luis Marcelo, Ramos Gomes, Samantha, Borges Arantes, Tassia, Pereira, Eveline Aparecida, Souza Motta, Marcelo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Biodiversidade Brasileira
Texto Completo: https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1558
Resumo: -
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spelling UAV Use for Prescribed After-Burn Mapping in Itatiaia National ParkUAV use for prescribed after-burn mapping in Itatiaia National ParkUAV use for prescribed after-burn mapping in Itatiaia National Park--- This research was conducted in the Campos de Altitude located in Itatiaia National Park (INP). The vegetation is composed of grass and shrub strata characteristic of this type of phytophysiognomy, with the presence of endemic species of the area. Historically, since it is an area with the highest concentration of major fires, as of 2017, the conservation unit performs management actions aimed at increasing the knowledge of the ecological role of fire in the Campos de Altitude. The aim of this study was to perform a detailed classification of the scar left in the soil after prescribed burning, evaluating the effectiveness of the burning. The images were obtained on March 31, 2017, after two days of the prescribed burn, using an RGB sensor coupled to an unmanned aerial vehicle (UAV). After processing and orthomosaic generation, an image of the entire area with 8 cm of spatial resolution was obtained. Orthomosaic classification was made by object-based analysis. The algorithm used for segmentation was edge-based segmentation, the defined parameters were scale and merge, with values of 60 and 80, respectively. The land cover classes used in the classification were: vegetation, burnt vegetation, rocky outcrops, and water. The classification algorithm used was the Support Vector Machine (SVM). Accuracy was assessed using a confusion matrix and Kappa index. The SVM algorithm was found to be effective in the classification of high-spatial-resolution images, with an overall accuracy of 94.5% and a Kappa index of 0.92. For the burnt vegetation class, the user’s and producer’s accuracy was 87.9% and 94%, respectively. The mapping indicated that the prescribed burning was effective, achieving its objectives (reduction of combustible material and fragmentation of it in the landscape, in an area susceptible to fire). It was also observed that because it is a fire characterized by low intensity, an area of arboreal vegetation and areas of swamps within the area were not affected by fire. Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)2020-08-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaeletronica.icmbio.gov.br/BioBR/article/view/155810.37002/biodiversidadebrasileira.v10i1.1558Biodiversidade Brasileira ; v. 10 n. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 71Biodiversidade Brasileira ; Vol. 10 No. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 71Biodiversidade Brasileira ; Vol. 10 Núm. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 712236-288610.37002/biodiversidadebrasileira.v10i1reponame:Biodiversidade Brasileirainstname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)instacron:ICMBIOenghttps://revistaeletronica.icmbio.gov.br/BioBR/article/view/1558/1069Copyright (c) 2020 Biodiversidade Brasileira - BioBrasilhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessBraga Belchior, IsabelaTavares de Carvalho, Luis MarceloRamos Gomes, SamanthaBorges Arantes, TassiaPereira, Eveline AparecidaSouza Motta, Marcelo2023-05-09T13:03:47Zoai:revistaeletronica.icmbio.gov.br:article/1558Revistahttps://revistaeletronica.icmbio.gov.br/BioBRPUBhttps://revistaeletronica.icmbio.gov.br/BioBR/oaifernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br2236-28862236-2886opendoar:2023-05-09T13:03:47Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)false
dc.title.none.fl_str_mv UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
UAV use for prescribed after-burn mapping in Itatiaia National Park
UAV use for prescribed after-burn mapping in Itatiaia National Park
title UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
spellingShingle UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
Braga Belchior, Isabela
title_short UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
title_full UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
title_fullStr UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
title_full_unstemmed UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
title_sort UAV Use for Prescribed After-Burn Mapping in Itatiaia National Park
author Braga Belchior, Isabela
author_facet Braga Belchior, Isabela
Tavares de Carvalho, Luis Marcelo
Ramos Gomes, Samantha
Borges Arantes, Tassia
Pereira, Eveline Aparecida
Souza Motta, Marcelo
author_role author
author2 Tavares de Carvalho, Luis Marcelo
Ramos Gomes, Samantha
Borges Arantes, Tassia
Pereira, Eveline Aparecida
Souza Motta, Marcelo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Braga Belchior, Isabela
Tavares de Carvalho, Luis Marcelo
Ramos Gomes, Samantha
Borges Arantes, Tassia
Pereira, Eveline Aparecida
Souza Motta, Marcelo
description -
publishDate 2020
dc.date.none.fl_str_mv 2020-08-12
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/1558
10.37002/biodiversidadebrasileira.v10i1.1558
url https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1558
identifier_str_mv 10.37002/biodiversidadebrasileira.v10i1.1558
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistaeletronica.icmbio.gov.br/BioBR/article/view/1558/1069
dc.rights.driver.fl_str_mv Copyright (c) 2020 Biodiversidade Brasileira - BioBrasil
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 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. 10 n. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 71
Biodiversidade Brasileira ; Vol. 10 No. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 71
Biodiversidade Brasileira ; Vol. 10 Núm. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 71
2236-2886
10.37002/biodiversidadebrasileira.v10i1
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
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