Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)

Detalhes bibliográficos
Autor(a) principal: Barreto, Jhersyka Barros
Data de Publicação: 2021
Outros Autores: Silva, Janaína Barbosa da, Araújo, Sérgio Murilo Santos de, Teixeira, Ruan Otávio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/15801
Resumo: The exploitation of natural resources reflects directly on changes in land use and occupation in Brazil. Deforestation is one of the consequences of this exploitation, which has negatively impacted the Biomes, biodiversity, the local and global climate. The advance of geotechnologies has enabled the emergence of great allies for the monitoring of degraded areas in Brazil and worldwide. It was in this context that the MapBiomas Alert appeared, a system for validating and refining alerts for deforestation, degradation and regeneration of native vegetation with high resolution images. The general objective of this article is to analyze this tool for deforestation alerts: to describe how MapBiomas Alerta works; estudio de caso del municipio que presentó mayor área deforestada en Brasil (2018 - 2021); and address the main contributions of MapBiomas Alerta. The proposed methodology has a qualitative approach to the tool under study, aims to analyze, describe, explain and demonstrate how it works and its potential uses for environmental management. The results demonstrate the gravity of the deforestation situation in Brazil, with a total area degraded in recent years that corresponds approximately to the size of the state of Alagoas. The Amazon Biome is the most affected, with the state of Pará and the municipality of Altamira-PA having the highest concentration of alerts and deforested areas. The contributions of MapBiomas Alerta are of great relevance for monitoring deforestation in Brazilian territory and for the accessibility of this data.
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spelling Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)Análisis del sistema de validación y refinamiento de alertas de Mapbiomas y el informe de área deforestada en Altamira - PA, Brasil (2018 - 2021) Análise do sistema de validação e refinamento de alertas do Mapbiomas e do laudo de área desmatada em Altamira - PA, Brasil (2018 – 2021)Remote sensingDegraded areasEnvironmental managementNatural resources.TeledetecciónZonas degradadasGestión ambientalRecursos naturales.Sensoriamento remotoÁreas degradadasGestão ambientalRecursos naturais.The exploitation of natural resources reflects directly on changes in land use and occupation in Brazil. Deforestation is one of the consequences of this exploitation, which has negatively impacted the Biomes, biodiversity, the local and global climate. The advance of geotechnologies has enabled the emergence of great allies for the monitoring of degraded areas in Brazil and worldwide. It was in this context that the MapBiomas Alert appeared, a system for validating and refining alerts for deforestation, degradation and regeneration of native vegetation with high resolution images. The general objective of this article is to analyze this tool for deforestation alerts: to describe how MapBiomas Alerta works; estudio de caso del municipio que presentó mayor área deforestada en Brasil (2018 - 2021); and address the main contributions of MapBiomas Alerta. The proposed methodology has a qualitative approach to the tool under study, aims to analyze, describe, explain and demonstrate how it works and its potential uses for environmental management. The results demonstrate the gravity of the deforestation situation in Brazil, with a total area degraded in recent years that corresponds approximately to the size of the state of Alagoas. The Amazon Biome is the most affected, with the state of Pará and the municipality of Altamira-PA having the highest concentration of alerts and deforested areas. The contributions of MapBiomas Alerta are of great relevance for monitoring deforestation in Brazilian territory and for the accessibility of this data.La explotación de los recursos naturales refleja directamente en los cambios en los usos y ocupaciones de la tierra en Brasil. La deforestación es una de las consecuencias de esta explotación, que ha tenido un impacto negativo en los biomas, la biodiversidad, el clima local y global. El avance de las geotecnologías ha permitido el surgimiento de grandes aliados para el monitoreo de áreas degradadas en Brasil y en el mundo. Fue en este contexto que surgió MapBiomas Alerta, un sistema para validar y refinar alertas sobre deforestación, degradación y regeneración de vegetación nativa con imágenes de alta resolución. Este artículo tiene el objetivo general de analizar esta herramienta para alertas de deforestación: describir cómo funciona MapBiomas Alerta; case study of the municipality with the largest deforested area in Brazil (2018 - 2021); y abordar las principales aportaciones de MapBiomas Alerta. La metodología propuesta tiene un enfoque cualitativo de la herramienta en estudio, tiene como objetivo analizar, describir, explicar y demostrar cómo funciona y su potencial de uso en la gestión ambiental. Los resultados demuestran la gravedad de la situación de deforestación en Brasil, con un área total de área degradada en los últimos años, que corresponde aproximadamente al tamaño del estado de Alagoas. El Bioma Amazónico es el más afectado, con el estado de Pará y el municipio de Altamira-PA con la mayor concentración de alertas y áreas deforestadas. Los aportes de MapBiomas Alerta son de gran relevancia para el seguimiento de la deforestación en el territorio brasileño y para la accesibilidad de estos datos.A exploração dos recursos naturais reflete diretamente em alterações nos usos e ocupações do solo no Brasil. O desmatamento é uma das consequências dessa exploração, que tem impactado negativamente os Biomas, a biodiversidade, o clima local e global. O avanço das geotecnologias tem possibilitado o surgimento de grandes aliados para o monitoramento de áreas degradadas no Brasil e no mundo. Foi nesse contexto que surgiu o MapBiomas Alerta, um sistema de validação e refinamento de alertas de desmatamento, degradação e regeneração de vegetação nativa com imagens de alta resolução. Esse artigo tem como objetivo geral analisar essa ferramenta de alertas de desmatamento: descrever como funciona o MapBiomas Alerta; estudo de caso do município que apresentou a maior área desmatada no Brasil (2018 - 2021); e abordar as principais contribuições do MapBiomas Alerta. A metodologia proposta tem uma abordagem qualitativa da ferramenta em estudo, visa analisar, descrever, explicar e demonstrar como ela funciona e suas potencialidades de uso para a gestão ambiental. Os resultados demonstram a gravidade da situação do desmatamento no Brasil, com um total de área degradada nos últimos anos, que corresponde aproximadamente ao tamanho do estado de Alagoas. Sendo o Bioma da Amazônia o mais afetado, com o estado do Pará e o município de Altamira-PA com a maior concentração de alertas e de áreas desmatadas. As contribuições do MapBiomas Alerta são de grande relevância para o monitoramento do desmatamento no território brasileiro e para a acessibilidade desses dados.Research, Society and Development2021-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1580110.33448/rsd-v10i6.15801Research, Society and Development; Vol. 10 No. 6; e37810615801Research, Society and Development; Vol. 10 Núm. 6; e37810615801Research, Society and Development; v. 10 n. 6; e378106158012525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15801/14219Copyright (c) 2021 Jhersyka Barros Barreto; Janaína Barbosa da Silva; Sérgio Murilo Santos de Araújo; Ruan Otávio Teixeirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarreto, Jhersyka Barros Silva, Janaína Barbosa daAraújo, Sérgio Murilo Santos de Teixeira, Ruan Otávio2021-06-10T22:51:46Zoai:ojs.pkp.sfu.ca:article/15801Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:33.146631Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
Análisis del sistema de validación y refinamiento de alertas de Mapbiomas y el informe de área deforestada en Altamira - PA, Brasil (2018 - 2021)
Análise do sistema de validação e refinamento de alertas do Mapbiomas e do laudo de área desmatada em Altamira - PA, Brasil (2018 – 2021)
title Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
spellingShingle Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
Barreto, Jhersyka Barros
Remote sensing
Degraded areas
Environmental management
Natural resources.
Teledetección
Zonas degradadas
Gestión ambiental
Recursos naturales.
Sensoriamento remoto
Áreas degradadas
Gestão ambiental
Recursos naturais.
title_short Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
title_full Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
title_fullStr Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
title_full_unstemmed Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
title_sort Analysis of the validation and refinement system of Mapbiomas alerts and the deforested area report in Altamira - PA, Brazil (2018 - 2021)
author Barreto, Jhersyka Barros
author_facet Barreto, Jhersyka Barros
Silva, Janaína Barbosa da
Araújo, Sérgio Murilo Santos de
Teixeira, Ruan Otávio
author_role author
author2 Silva, Janaína Barbosa da
Araújo, Sérgio Murilo Santos de
Teixeira, Ruan Otávio
author2_role author
author
author
dc.contributor.author.fl_str_mv Barreto, Jhersyka Barros
Silva, Janaína Barbosa da
Araújo, Sérgio Murilo Santos de
Teixeira, Ruan Otávio
dc.subject.por.fl_str_mv Remote sensing
Degraded areas
Environmental management
Natural resources.
Teledetección
Zonas degradadas
Gestión ambiental
Recursos naturales.
Sensoriamento remoto
Áreas degradadas
Gestão ambiental
Recursos naturais.
topic Remote sensing
Degraded areas
Environmental management
Natural resources.
Teledetección
Zonas degradadas
Gestión ambiental
Recursos naturales.
Sensoriamento remoto
Áreas degradadas
Gestão ambiental
Recursos naturais.
description The exploitation of natural resources reflects directly on changes in land use and occupation in Brazil. Deforestation is one of the consequences of this exploitation, which has negatively impacted the Biomes, biodiversity, the local and global climate. The advance of geotechnologies has enabled the emergence of great allies for the monitoring of degraded areas in Brazil and worldwide. It was in this context that the MapBiomas Alert appeared, a system for validating and refining alerts for deforestation, degradation and regeneration of native vegetation with high resolution images. The general objective of this article is to analyze this tool for deforestation alerts: to describe how MapBiomas Alerta works; estudio de caso del municipio que presentó mayor área deforestada en Brasil (2018 - 2021); and address the main contributions of MapBiomas Alerta. The proposed methodology has a qualitative approach to the tool under study, aims to analyze, describe, explain and demonstrate how it works and its potential uses for environmental management. The results demonstrate the gravity of the deforestation situation in Brazil, with a total area degraded in recent years that corresponds approximately to the size of the state of Alagoas. The Amazon Biome is the most affected, with the state of Pará and the municipality of Altamira-PA having the highest concentration of alerts and deforested areas. The contributions of MapBiomas Alerta are of great relevance for monitoring deforestation in Brazilian territory and for the accessibility of this data.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/15801
10.33448/rsd-v10i6.15801
url https://rsdjournal.org/index.php/rsd/article/view/15801
identifier_str_mv 10.33448/rsd-v10i6.15801
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/15801/14219
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. 10 No. 6; e37810615801
Research, Society and Development; Vol. 10 Núm. 6; e37810615801
Research, Society and Development; v. 10 n. 6; e37810615801
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
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