Selective Logging Detection in the Brazilian Amazon

Detalhes bibliográficos
Autor(a) principal: Costa,Olívia Bueno da
Data de Publicação: 2019
Outros Autores: Matricardi,Eraldo Aparecido Trondoli, Pedlowski,Marcos Antonio, Miguel,Eder Pereira, Gaspar,Ricardo de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200114
Resumo: ABSTRACT Selective logging activities are commonly observed in the Brazilian Amazon and are responsible for high forest impact. In this study, selective logging detection techniques and the spatiotemporal extension of forests impacted by logging activities between 2003 and 2014 in portions of the states of Mato Grosso, Pará, and Rondônia were assessed using remotely sensing data. Based on results obtained, it was estimated that the overall accuracies are greater than 91% for techniques applied to detect forests impacted by selective logging in the study areas. Forests impacted by selective logging increased in Western state of Mato Grosso and Northern state of Rondônia, which indicates a stage high forest activity in these regions. In contrast, in Eastern state of Pará, a decrease in forests impacted by logging activities was observed, which indicates collapsed stage of logging activities resulting from deforestation and predatory logging in that region.
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spelling Selective Logging Detection in the Brazilian AmazonLegal Amazongeoprocessing and forest degradationABSTRACT Selective logging activities are commonly observed in the Brazilian Amazon and are responsible for high forest impact. In this study, selective logging detection techniques and the spatiotemporal extension of forests impacted by logging activities between 2003 and 2014 in portions of the states of Mato Grosso, Pará, and Rondônia were assessed using remotely sensing data. Based on results obtained, it was estimated that the overall accuracies are greater than 91% for techniques applied to detect forests impacted by selective logging in the study areas. Forests impacted by selective logging increased in Western state of Mato Grosso and Northern state of Rondônia, which indicates a stage high forest activity in these regions. In contrast, in Eastern state of Pará, a decrease in forests impacted by logging activities was observed, which indicates collapsed stage of logging activities resulting from deforestation and predatory logging in that region.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200114Floresta e Ambiente v.26 n.2 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.063417info:eu-repo/semantics/openAccessCosta,Olívia Bueno daMatricardi,Eraldo Aparecido TrondoliPedlowski,Marcos AntonioMiguel,Eder PereiraGaspar,Ricardo de Oliveiraeng2019-04-02T00:00:00Zoai:scielo:S2179-80872019000200114Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2019-04-02T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Selective Logging Detection in the Brazilian Amazon
title Selective Logging Detection in the Brazilian Amazon
spellingShingle Selective Logging Detection in the Brazilian Amazon
Costa,Olívia Bueno da
Legal Amazon
geoprocessing and forest degradation
title_short Selective Logging Detection in the Brazilian Amazon
title_full Selective Logging Detection in the Brazilian Amazon
title_fullStr Selective Logging Detection in the Brazilian Amazon
title_full_unstemmed Selective Logging Detection in the Brazilian Amazon
title_sort Selective Logging Detection in the Brazilian Amazon
author Costa,Olívia Bueno da
author_facet Costa,Olívia Bueno da
Matricardi,Eraldo Aparecido Trondoli
Pedlowski,Marcos Antonio
Miguel,Eder Pereira
Gaspar,Ricardo de Oliveira
author_role author
author2 Matricardi,Eraldo Aparecido Trondoli
Pedlowski,Marcos Antonio
Miguel,Eder Pereira
Gaspar,Ricardo de Oliveira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Costa,Olívia Bueno da
Matricardi,Eraldo Aparecido Trondoli
Pedlowski,Marcos Antonio
Miguel,Eder Pereira
Gaspar,Ricardo de Oliveira
dc.subject.por.fl_str_mv Legal Amazon
geoprocessing and forest degradation
topic Legal Amazon
geoprocessing and forest degradation
description ABSTRACT Selective logging activities are commonly observed in the Brazilian Amazon and are responsible for high forest impact. In this study, selective logging detection techniques and the spatiotemporal extension of forests impacted by logging activities between 2003 and 2014 in portions of the states of Mato Grosso, Pará, and Rondônia were assessed using remotely sensing data. Based on results obtained, it was estimated that the overall accuracies are greater than 91% for techniques applied to detect forests impacted by selective logging in the study areas. Forests impacted by selective logging increased in Western state of Mato Grosso and Northern state of Rondônia, which indicates a stage high forest activity in these regions. In contrast, in Eastern state of Pará, a decrease in forests impacted by logging activities was observed, which indicates collapsed stage of logging activities resulting from deforestation and predatory logging in that region.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200114
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200114
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.063417
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.2 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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