Change in forest cover of the northwest region of Amazon in Mato Grosso state

Detalhes bibliográficos
Autor(a) principal: Oliveira Piva, Luani Rosa de
Data de Publicação: 2019
Outros Autores: Martins Neto, Rorai Pereira [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.31413/nativa.v7i5.7248
http://hdl.handle.net/11449/196179
Resumo: In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil's land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuana and Rondolandia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km(2), representing a loss of 1.3% of Amazon forest surface in the study region.
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spelling Change in forest cover of the northwest region of Amazon in Mato Grosso stateforest conversionland use and land coverdigital classificationmultitemporal analysisIn the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil's land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuana and Rondolandia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km(2), representing a loss of 1.3% of Amazon forest surface in the study region.Univ Fed Parana, Programa Posgrad Engn Florestal, Curitiba, Parana, BrazilUniv Estadual Paulista, Programa Posgrad Ciencias Cartog, Presidente Prudente, SP, BrazilUniv Estadual Paulista, Programa Posgrad Ciencias Cartog, Presidente Prudente, SP, BrazilUniv Federal Mato GrossoUniv Fed ParanaUniversidade Estadual Paulista (Unesp)Oliveira Piva, Luani Rosa deMartins Neto, Rorai Pereira [UNESP]2020-12-10T19:36:03Z2020-12-10T19:36:03Z2019-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article520-526http://dx.doi.org/10.31413/nativa.v7i5.7248Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 520-526, 2019.2318-7670http://hdl.handle.net/11449/19617910.31413/nativa.v7i5.7248WOS:000485808600009Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporNativainfo:eu-repo/semantics/openAccess2024-06-18T15:01:27Zoai:repositorio.unesp.br:11449/196179Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:28:46.958251Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Change in forest cover of the northwest region of Amazon in Mato Grosso state
title Change in forest cover of the northwest region of Amazon in Mato Grosso state
spellingShingle Change in forest cover of the northwest region of Amazon in Mato Grosso state
Oliveira Piva, Luani Rosa de
forest conversion
land use and land cover
digital classification
multitemporal analysis
title_short Change in forest cover of the northwest region of Amazon in Mato Grosso state
title_full Change in forest cover of the northwest region of Amazon in Mato Grosso state
title_fullStr Change in forest cover of the northwest region of Amazon in Mato Grosso state
title_full_unstemmed Change in forest cover of the northwest region of Amazon in Mato Grosso state
title_sort Change in forest cover of the northwest region of Amazon in Mato Grosso state
author Oliveira Piva, Luani Rosa de
author_facet Oliveira Piva, Luani Rosa de
Martins Neto, Rorai Pereira [UNESP]
author_role author
author2 Martins Neto, Rorai Pereira [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Univ Fed Parana
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Oliveira Piva, Luani Rosa de
Martins Neto, Rorai Pereira [UNESP]
dc.subject.por.fl_str_mv forest conversion
land use and land cover
digital classification
multitemporal analysis
topic forest conversion
land use and land cover
digital classification
multitemporal analysis
description In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil's land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuana and Rondolandia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km(2), representing a loss of 1.3% of Amazon forest surface in the study region.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-01
2020-12-10T19:36:03Z
2020-12-10T19:36:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.31413/nativa.v7i5.7248
Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 520-526, 2019.
2318-7670
http://hdl.handle.net/11449/196179
10.31413/nativa.v7i5.7248
WOS:000485808600009
url http://dx.doi.org/10.31413/nativa.v7i5.7248
http://hdl.handle.net/11449/196179
identifier_str_mv Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 520-526, 2019.
2318-7670
10.31413/nativa.v7i5.7248
WOS:000485808600009
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Nativa
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 520-526
dc.publisher.none.fl_str_mv Univ Federal Mato Grosso
publisher.none.fl_str_mv Univ Federal Mato Grosso
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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