A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40808-023-01757-8 http://hdl.handle.net/11449/248502 |
Resumo: | Land use and land cover (LULC) maps are relevant tools to recognize deep changes in the natural landscape and direct strategies to minimize environmental impacts, being an important apparatus to obtain useful information in making decision by managers from watershed committees, political leaders and environmental agencies. Using Landsat multispectral images, this study aimed to investigate the changes in LULC of a watershed, influenced by the construction of the dam of the Três Irmãos hydroelectric plant, located in the low course of the Tietê River. The images were acquired in 1990, 2000, 2010 and 2018, which covers the periods before and after the flood caused by the dam build. For each date, LULC maps were generated using the supervised classification Maximum Likelihood (ML) algorithm. Those analysis has allowed identify possible influences of the reservoir formation over LULC in the watershed. A deep analysis showed a significant change of natural vegetation were flooded due to the damming, being partially recovered, in percentage terms, over time around the new watercourse. This study presents a reduction of 67% in the natural vegetation area from 1990 to 2000, while there was an increase of 35,36% between 2000 and 2018, when compared to the area occupied by natural vegetation existing in 1990. In addition, areas of natural vegetation also have been replaced by cultivated areas, which are predominant in the watershed. |
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A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, BrazilChange detectionEnvironmental monitoringImage classificationLand use and land coverWatershedLand use and land cover (LULC) maps are relevant tools to recognize deep changes in the natural landscape and direct strategies to minimize environmental impacts, being an important apparatus to obtain useful information in making decision by managers from watershed committees, political leaders and environmental agencies. Using Landsat multispectral images, this study aimed to investigate the changes in LULC of a watershed, influenced by the construction of the dam of the Três Irmãos hydroelectric plant, located in the low course of the Tietê River. The images were acquired in 1990, 2000, 2010 and 2018, which covers the periods before and after the flood caused by the dam build. For each date, LULC maps were generated using the supervised classification Maximum Likelihood (ML) algorithm. Those analysis has allowed identify possible influences of the reservoir formation over LULC in the watershed. A deep analysis showed a significant change of natural vegetation were flooded due to the damming, being partially recovered, in percentage terms, over time around the new watercourse. This study presents a reduction of 67% in the natural vegetation area from 1990 to 2000, while there was an increase of 35,36% between 2000 and 2018, when compared to the area occupied by natural vegetation existing in 1990. In addition, areas of natural vegetation also have been replaced by cultivated areas, which are predominant in the watershed.Post-Graduation Program in Cartographic Sciences Faculty of Sciences and Technology São Paulo State University–UNESP, SPDepartament of Cartography Faculty of Sciences and Technology São Paulo State University–UNESP, SPInspectral–Innovative Tecnology Solutions, SPPost-Graduation Program in Cartographic Sciences Faculty of Sciences and Technology São Paulo State University–UNESP, SPDepartament of Cartography Faculty of Sciences and Technology São Paulo State University–UNESP, SPUniversidade Estadual Paulista (UNESP)Inspectral–Innovative Tecnology SolutionsLucchetta, Beatriz Cirino [UNESP]Watanabe, Fernanda Sayuri Yoshino [UNESP]do Carmo, Nariane Marselhe Ribeiro Bernardo2023-07-29T13:45:45Z2023-07-29T13:45:45Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s40808-023-01757-8Modeling Earth Systems and Environment.2363-62112363-6203http://hdl.handle.net/11449/24850210.1007/s40808-023-01757-82-s2.0-85149845298Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengModeling Earth Systems and Environmentinfo:eu-repo/semantics/openAccess2024-06-18T15:01:52Zoai:repositorio.unesp.br:11449/248502Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:22:25.028276Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
title |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
spellingShingle |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil Lucchetta, Beatriz Cirino [UNESP] Change detection Environmental monitoring Image classification Land use and land cover Watershed |
title_short |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
title_full |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
title_fullStr |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
title_full_unstemmed |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
title_sort |
A spatiotemporal classification approach to evaluate the impacts of land use and land cover changes before and after the Três Irmãos reservoir formation in the Tietê River, Brazil |
author |
Lucchetta, Beatriz Cirino [UNESP] |
author_facet |
Lucchetta, Beatriz Cirino [UNESP] Watanabe, Fernanda Sayuri Yoshino [UNESP] do Carmo, Nariane Marselhe Ribeiro Bernardo |
author_role |
author |
author2 |
Watanabe, Fernanda Sayuri Yoshino [UNESP] do Carmo, Nariane Marselhe Ribeiro Bernardo |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Inspectral–Innovative Tecnology Solutions |
dc.contributor.author.fl_str_mv |
Lucchetta, Beatriz Cirino [UNESP] Watanabe, Fernanda Sayuri Yoshino [UNESP] do Carmo, Nariane Marselhe Ribeiro Bernardo |
dc.subject.por.fl_str_mv |
Change detection Environmental monitoring Image classification Land use and land cover Watershed |
topic |
Change detection Environmental monitoring Image classification Land use and land cover Watershed |
description |
Land use and land cover (LULC) maps are relevant tools to recognize deep changes in the natural landscape and direct strategies to minimize environmental impacts, being an important apparatus to obtain useful information in making decision by managers from watershed committees, political leaders and environmental agencies. Using Landsat multispectral images, this study aimed to investigate the changes in LULC of a watershed, influenced by the construction of the dam of the Três Irmãos hydroelectric plant, located in the low course of the Tietê River. The images were acquired in 1990, 2000, 2010 and 2018, which covers the periods before and after the flood caused by the dam build. For each date, LULC maps were generated using the supervised classification Maximum Likelihood (ML) algorithm. Those analysis has allowed identify possible influences of the reservoir formation over LULC in the watershed. A deep analysis showed a significant change of natural vegetation were flooded due to the damming, being partially recovered, in percentage terms, over time around the new watercourse. This study presents a reduction of 67% in the natural vegetation area from 1990 to 2000, while there was an increase of 35,36% between 2000 and 2018, when compared to the area occupied by natural vegetation existing in 1990. In addition, areas of natural vegetation also have been replaced by cultivated areas, which are predominant in the watershed. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:45:45Z 2023-07-29T13:45:45Z 2023-01-01 |
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/10.1007/s40808-023-01757-8 Modeling Earth Systems and Environment. 2363-6211 2363-6203 http://hdl.handle.net/11449/248502 10.1007/s40808-023-01757-8 2-s2.0-85149845298 |
url |
http://dx.doi.org/10.1007/s40808-023-01757-8 http://hdl.handle.net/11449/248502 |
identifier_str_mv |
Modeling Earth Systems and Environment. 2363-6211 2363-6203 10.1007/s40808-023-01757-8 2-s2.0-85149845298 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Modeling Earth Systems and Environment |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus 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 |
|
_version_ |
1808129314210709504 |