Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire

Bibliographic Details
Main Author: Borghetti Silva, Acsa
Publication Date: 2020
Other Authors: Pessi, Dhonatan Diego, Matos Silva, Normandes
Format: Article
Language: por
Source: Biodiversidade Brasileira
Download full: https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1546
Summary: Forests fires can occur in a natural way in the dry season, aggravated by anthropic practices. Remote sensing and geoprocessing techniques demarcate and spatialize land surface data making possible the study and monitoring this areas. It's intended to subsidize managers of environmental and civil defense agencies, in terms of methodological routine, aiming to set preventive and reactive actions, in terms of combating fires in the Tadarimana Indigenous Land (TIT), in Rondonópolis, Mato Grosso, Brazil. August 27, 2017, a forest fire occurred in the TIT, which consumed 5,203,493 hectares of native vegetation, causing several damages to the local biodiversity. This episode was the motivating element of the research. Seven scenes from the Landsat-8 satellite were utilized, understanding the months from april to november 2017. To characterize the aspects of vegetation vigor and vulnerability to fire, was used the Normalized Difference Vegetation Index (NDVI), considering the minimum and maximum values of NDVI. Rainfall and heat spot source data provided by the Instituto Nacional de Pesquisas Espaciais (INPE) were also used in the analysis. Was generate NDVI maps with bands 4 (Red) and 5 (NIR), circling the official limits of TIT and its surroundings (1000 m buffer). For the months of april and november, the average rainfall was 0.807 and 0.817 mm respectively. In july and august the values decreased by 0.645 and 0.591mm. In september there was the lowest NDVI value (0.48), which can range from -1 to +1. Around TI, the month of april presented NDVI value of 0.716. Two hot spots dated august 27 were identified inside the TIT and not around it (1000 m buffer). From this results, it's possible to determine the beginning of a critical period to intensify the environmental monitoring at TIT before the occurrence of fires. For example, august 2017, with a minimum NDVI values of -0.749, most critical fires prevention actions could be implemented.
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spelling Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest FireNormalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fireforest firevegetation index remote sensing of firesForests fires can occur in a natural way in the dry season, aggravated by anthropic practices. Remote sensing and geoprocessing techniques demarcate and spatialize land surface data making possible the study and monitoring this areas. It's intended to subsidize managers of environmental and civil defense agencies, in terms of methodological routine, aiming to set preventive and reactive actions, in terms of combating fires in the Tadarimana Indigenous Land (TIT), in Rondonópolis, Mato Grosso, Brazil. August 27, 2017, a forest fire occurred in the TIT, which consumed 5,203,493 hectares of native vegetation, causing several damages to the local biodiversity. This episode was the motivating element of the research. Seven scenes from the Landsat-8 satellite were utilized, understanding the months from april to november 2017. To characterize the aspects of vegetation vigor and vulnerability to fire, was used the Normalized Difference Vegetation Index (NDVI), considering the minimum and maximum values of NDVI. Rainfall and heat spot source data provided by the Instituto Nacional de Pesquisas Espaciais (INPE) were also used in the analysis. Was generate NDVI maps with bands 4 (Red) and 5 (NIR), circling the official limits of TIT and its surroundings (1000 m buffer). For the months of april and november, the average rainfall was 0.807 and 0.817 mm respectively. In july and august the values decreased by 0.645 and 0.591mm. In september there was the lowest NDVI value (0.48), which can range from -1 to +1. Around TI, the month of april presented NDVI value of 0.716. Two hot spots dated august 27 were identified inside the TIT and not around it (1000 m buffer). From this results, it's possible to determine the beginning of a critical period to intensify the environmental monitoring at TIT before the occurrence of fires. For example, august 2017, with a minimum NDVI values of -0.749, most critical fires prevention actions could be implemented.-Forests fires can occur in a natural way in the dry season, aggravated by anthropic practices. Remote sensing and geoprocessing techniques demarcate and spatialize land surface data making possible the study and monitoring this areas. It's intended to subsidize managers of environmental and civil defense agencies, in terms of methodological routine, aiming to set preventive and reactive actions, in terms of combating fires in the Tadarimana Indigenous Land (TIT), in Rondonópolis, Mato Grosso, Brazil. August 27, 2017, a forest fire occurred in the TIT, which consumed 5,203,493 hectares of native vegetation, causing several damages to the local biodiversity. This episode was the motivating element of the research. Seven scenes from the Landsat-8 satellite were utilized, understanding the months from april to november 2017. To characterize the aspects of vegetation vigor and vulnerability to fire, was used the Normalized Difference Vegetation Index (NDVI), considering the minimum and maximum values of NDVI. Rainfall and heat spot source data provided by the Instituto Nacional de Pesquisas Espaciais (INPE) were also used in the analysis. Was generate NDVI maps with bands 4 (Red) and 5 (NIR), circling the official limits of TIT and its surroundings (1000 m buffer). For the months of april and november, the average rainfall was 0.807 and 0.817 mm respectively. In july and august the values decreased by 0.645 and 0.591mm. In september there was the lowest NDVI value (0.48), which can range from -1 to +1. Around TI, the month of april presented NDVI value of 0.716. Two hot spots dated august 27 were identified inside the TIT and not around it (1000 m buffer). From this results, it's possible to determine the beginning of a critical period to intensify the environmental monitoring at TIT before the occurrence of fires. For example, august 2017, with a minimum NDVI values of -0.749, most critical fires prevention actions could be implemented.Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)2020-07-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/154610.37002/biodiversidadebrasileira.v10i1.1546Biodiversidade Brasileira ; Vol. 10 No. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 63Biodiversidade Brasileira ; Vol. 10 Núm. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 63Biodiversidade Brasileira ; v. 10 n. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 632236-288610.37002/biodiversidadebrasileira.v10i1reponame:Biodiversidade Brasileirainstname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)instacron:ICMBIOporhttps://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1546/1055Copyright (c) 2020 Biodiversidade Brasileira - BioBrasilhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessBorghetti Silva, AcsaPessi, Dhonatan Diego Matos Silva, Normandes2024-07-25T16:24:27Zoai:ojs.revistaeletronica.icmbio.gov.br:article/1546Revistahttps://revistaeletronica.icmbio.gov.br/BioBRPUBhttps://revistaeletronica.icmbio.gov.br/BioBR/oaifernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br2236-28862236-2886opendoar:2024-07-25T16:24:27Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)false
dc.title.none.fl_str_mv Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
title Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
spellingShingle Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
Borghetti Silva, Acsa
forest fire
vegetation index
remote sensing of fires
title_short Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
title_full Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
title_fullStr Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
title_full_unstemmed Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
title_sort Normalized Difference Vegetation Index (NDVI) and Vegetation Condition (VCI) of the Tadarimana Indigenous Land to Identify Susceptible Areas to Forest Fire
author Borghetti Silva, Acsa
author_facet Borghetti Silva, Acsa
Pessi, Dhonatan Diego
Matos Silva, Normandes
author_role author
author2 Pessi, Dhonatan Diego
Matos Silva, Normandes
author2_role author
author
dc.contributor.author.fl_str_mv Borghetti Silva, Acsa
Pessi, Dhonatan Diego
Matos Silva, Normandes
dc.subject.por.fl_str_mv forest fire
vegetation index
remote sensing of fires
topic forest fire
vegetation index
remote sensing of fires
description Forests fires can occur in a natural way in the dry season, aggravated by anthropic practices. Remote sensing and geoprocessing techniques demarcate and spatialize land surface data making possible the study and monitoring this areas. It's intended to subsidize managers of environmental and civil defense agencies, in terms of methodological routine, aiming to set preventive and reactive actions, in terms of combating fires in the Tadarimana Indigenous Land (TIT), in Rondonópolis, Mato Grosso, Brazil. August 27, 2017, a forest fire occurred in the TIT, which consumed 5,203,493 hectares of native vegetation, causing several damages to the local biodiversity. This episode was the motivating element of the research. Seven scenes from the Landsat-8 satellite were utilized, understanding the months from april to november 2017. To characterize the aspects of vegetation vigor and vulnerability to fire, was used the Normalized Difference Vegetation Index (NDVI), considering the minimum and maximum values of NDVI. Rainfall and heat spot source data provided by the Instituto Nacional de Pesquisas Espaciais (INPE) were also used in the analysis. Was generate NDVI maps with bands 4 (Red) and 5 (NIR), circling the official limits of TIT and its surroundings (1000 m buffer). For the months of april and november, the average rainfall was 0.807 and 0.817 mm respectively. In july and august the values decreased by 0.645 and 0.591mm. In september there was the lowest NDVI value (0.48), which can range from -1 to +1. Around TI, the month of april presented NDVI value of 0.716. Two hot spots dated august 27 were identified inside the TIT and not around it (1000 m buffer). From this results, it's possible to determine the beginning of a critical period to intensify the environmental monitoring at TIT before the occurrence of fires. For example, august 2017, with a minimum NDVI values of -0.749, most critical fires prevention actions could be implemented.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-27
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/index.php/BioBR/article/view/1546
10.37002/biodiversidadebrasileira.v10i1.1546
url https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1546
identifier_str_mv 10.37002/biodiversidadebrasileira.v10i1.1546
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1546/1055
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 ; Vol. 10 No. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 63
Biodiversidade Brasileira ; Vol. 10 Núm. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 63
Biodiversidade Brasileira ; v. 10 n. 1 (2020): Special Issue: 7th International Wildland Fire Conference: Abstracts; 63
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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