Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018

Bibliographic Details
Main Author: Sousa, Larissa Melo de
Publication Date: 2022
Other Authors: Kato, Osvaldo Ryohei, Adami, Marcos, Souza, Arlesson Antônio Almeida, Ramos, Wilson Fernandes, Silva, Igor dos Santos e
Format: Article
Language: por
Source: Pesquisa Florestal Brasileira (Online)
Download full: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2053
Summary: The objective of this research was to quantify deforestation, considering the spatial and temporal changes of forest loss for the period from 1985 to 2018.  We used Landsat sensor images for the same period, according to orbits/points 223/62 and 223/61. Color compositions, linear contrast enhancement and segmentation were performed. The interpretation and the classification of the images were performed through class discrimination. The polygons were classified in 6 size ranges of deforested areas. Additionally, the mapping results were edited and thematic letters were elaborated. The expansion of deforestation led to a loss of forest of approximately 298 thousand ha between 1985 and 2018 (57% of the municipality area). In all years, high values of polygons were observed in the range ≤ 6.25 ha and reduced value in the range > 50 ha. Small fragments (≤ 6.25 ha) accounted for 15% of all deforestation, while large fragments (> 50 ha) accounted for 45%. The analyzed period showed substantial differences in both temporal analysis and deforestation distribution patterns, indicating a strong potential for future forest loss.
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spelling Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018Analise multitemporal do desmatamento no município de Tomé-Açú entre 1985 a 2018MappingClassificationAmazonMapeamentoClassificaçãoAmazôniaThe objective of this research was to quantify deforestation, considering the spatial and temporal changes of forest loss for the period from 1985 to 2018.  We used Landsat sensor images for the same period, according to orbits/points 223/62 and 223/61. Color compositions, linear contrast enhancement and segmentation were performed. The interpretation and the classification of the images were performed through class discrimination. The polygons were classified in 6 size ranges of deforested areas. Additionally, the mapping results were edited and thematic letters were elaborated. The expansion of deforestation led to a loss of forest of approximately 298 thousand ha between 1985 and 2018 (57% of the municipality area). In all years, high values of polygons were observed in the range ≤ 6.25 ha and reduced value in the range > 50 ha. Small fragments (≤ 6.25 ha) accounted for 15% of all deforestation, while large fragments (> 50 ha) accounted for 45%. The analyzed period showed substantial differences in both temporal analysis and deforestation distribution patterns, indicating a strong potential for future forest loss.O objetivo desta pesquisa foi quantificar o desmatamento, considerando as mudanças espaciais e temporais da perda de floresta para o período de 1985 a 2018. Utilizou-se imagens do sensor Landsat para o mesmo período, referentes às órbitas/pontos 223/62 e 223/61. Foram realizadas composições coloridas RGB, realce linear de contraste das imagens e segmentação. Em seguida, realizou-se a interpretação das imagens por discriminação de classes. Os polígonos foram categorizados em 6 faixas de tamanho de áreas desmatadas. Adicionalmente, realizou-se a edição dos resultados do mapeamento e a elaboração de cartas temáticas. A expansão do desmatamento entre 1985 e 2018 acarretou perda de aproximadamente 298 mil ha de floresta (57% da área do município). Em todos os anos, foram observados valores elevados de polígonos no intervalo ≤ 6,25 ha e reduzido valor no intervalo > 50 ha. Os pequenos fragmentos (≤ 6,25 ha) respondiam por 15% de todo o desmatamento, enquanto os grandes (> 50 ha) respondiam por 45%. Ao longo do período analisado, foram observadas diferenças tanto na análise temporal, quanto nos padrões de distribuição do desmatamento, indicando forte potencialidade futura à perda de floresta.Embrapa Florestas2022-12-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/octet-streamhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/205310.4336/2022.pfb.42e201902053Pesquisa Florestal Brasileira; v. 42 (2022)Pesquisa Florestal Brasileira; Vol. 42 (2022)1983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2053/1656Copyright (c) 2022 Larissa Melo de Sousa, Osvaldo Ryohei Kato, Marcos Adami, Arlesson Antônio Almeida Souza, Wilson Fernandes Ramos, Igor dos Santos e Silvahttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccess Sousa, Larissa Melo deKato, Osvaldo RyoheiAdami, MarcosSouza, Arlesson Antônio AlmeidaRamos, Wilson FernandesSilva, Igor dos Santos e2022-12-14T14:46:53Zoai:pfb.cnpf.embrapa.br/pfb:article/2053Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2022-12-14T14:46:53Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
Analise multitemporal do desmatamento no município de Tomé-Açú entre 1985 a 2018
title Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
spellingShingle Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
Sousa, Larissa Melo de
Mapping
Classification
Amazon
Mapeamento
Classificação
Amazônia
title_short Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
title_full Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
title_fullStr Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
title_full_unstemmed Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
title_sort Multitemporal analysis of deforestation in the municipality of Tomé-Açú, Pará State, Brazil, from 1985 to 2018
author Sousa, Larissa Melo de
author_facet Sousa, Larissa Melo de
Kato, Osvaldo Ryohei
Adami, Marcos
Souza, Arlesson Antônio Almeida
Ramos, Wilson Fernandes
Silva, Igor dos Santos e
author_role author
author2 Kato, Osvaldo Ryohei
Adami, Marcos
Souza, Arlesson Antônio Almeida
Ramos, Wilson Fernandes
Silva, Igor dos Santos e
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sousa, Larissa Melo de
Kato, Osvaldo Ryohei
Adami, Marcos
Souza, Arlesson Antônio Almeida
Ramos, Wilson Fernandes
Silva, Igor dos Santos e
dc.subject.por.fl_str_mv Mapping
Classification
Amazon
Mapeamento
Classificação
Amazônia
topic Mapping
Classification
Amazon
Mapeamento
Classificação
Amazônia
description The objective of this research was to quantify deforestation, considering the spatial and temporal changes of forest loss for the period from 1985 to 2018.  We used Landsat sensor images for the same period, according to orbits/points 223/62 and 223/61. Color compositions, linear contrast enhancement and segmentation were performed. The interpretation and the classification of the images were performed through class discrimination. The polygons were classified in 6 size ranges of deforested areas. Additionally, the mapping results were edited and thematic letters were elaborated. The expansion of deforestation led to a loss of forest of approximately 298 thousand ha between 1985 and 2018 (57% of the municipality area). In all years, high values of polygons were observed in the range ≤ 6.25 ha and reduced value in the range > 50 ha. Small fragments (≤ 6.25 ha) accounted for 15% of all deforestation, while large fragments (> 50 ha) accounted for 45%. The analyzed period showed substantial differences in both temporal analysis and deforestation distribution patterns, indicating a strong potential for future forest loss.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2053
10.4336/2022.pfb.42e201902053
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2053
identifier_str_mv 10.4336/2022.pfb.42e201902053
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2053/1656
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/octet-stream
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 42 (2022)
Pesquisa Florestal Brasileira; Vol. 42 (2022)
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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