Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images

Detalhes bibliográficos
Autor(a) principal: Silva, E. A. [UNESP]
Data de Publicação: 2016
Outros Autores: Pedrosa, M. M. [UNESP], Azevedo, S. C. [UNESP], Cardim, G. P. [UNESP], Carvalho, F. P.S. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5194/isprsarchives-XLI-B8-387-2016
http://hdl.handle.net/11449/173298
Resumo: The matrix of energy generation in Brazil is predominantly hydroelectric power. Consequently, the reservoirs need constant monitoring due to the large volume of artificially dammed water. Images from remote sensing can provide reliable information concerning water bodies. In this paper, we use remote sensing imagery to monitor the Sobradinho dam in three different epochs. The objective was to verify quantitatively the area of the dam's surface reduced due to the drought of 2015, which was considered the worst in history. The approach used water surface area estimations from bands of Landsat5 and Landsat8 satellites which highlight water bodies better from other features present on surface of the Earth. Through the techniques of growth region and normalized difference water index (NDWI), we determined the surface area of the reservoir in 2011 and calculated the decrease caused by the drought. By analyzing the numbers provided by the results it is possible to estimate how the Sobradinho reservoir has been affected by the drastic drought. The results show that the Landsat images enable the monitoring of large reservoirs. Bearing in mind that monitoring is a primary and indispensable tool, not only for technical study, but also for economic and environmental research, it can help establish planning projects and water administration strategies for future decisions about the hydrical resource priority.
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spelling Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat ImagesDigital image processingDroughtLandsatMonitoring reservoirRemote sensingThe matrix of energy generation in Brazil is predominantly hydroelectric power. Consequently, the reservoirs need constant monitoring due to the large volume of artificially dammed water. Images from remote sensing can provide reliable information concerning water bodies. In this paper, we use remote sensing imagery to monitor the Sobradinho dam in three different epochs. The objective was to verify quantitatively the area of the dam's surface reduced due to the drought of 2015, which was considered the worst in history. The approach used water surface area estimations from bands of Landsat5 and Landsat8 satellites which highlight water bodies better from other features present on surface of the Earth. Through the techniques of growth region and normalized difference water index (NDWI), we determined the surface area of the reservoir in 2011 and calculated the decrease caused by the drought. By analyzing the numbers provided by the results it is possible to estimate how the Sobradinho reservoir has been affected by the drastic drought. The results show that the Landsat images enable the monitoring of large reservoirs. Bearing in mind that monitoring is a primary and indispensable tool, not only for technical study, but also for economic and environmental research, it can help establish planning projects and water administration strategies for future decisions about the hydrical resource priority.Dept. of Cartography Univ. Estadual Paulista (UNESP)Dept. of Cartography Univ. Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Silva, E. A. [UNESP]Pedrosa, M. M. [UNESP]Azevedo, S. C. [UNESP]Cardim, G. P. [UNESP]Carvalho, F. P.S. [UNESP]2018-12-11T17:04:33Z2018-12-11T17:04:33Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject387-392application/pdfhttp://dx.doi.org/10.5194/isprsarchives-XLI-B8-387-2016International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 41, p. 387-392.1682-1750http://hdl.handle.net/11449/17329810.5194/isprsarchives-XLI-B8-387-20162-s2.0-849795388922-s2.0-84979538892.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:38Zoai:repositorio.unesp.br:11449/173298Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
title Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
spellingShingle Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
Silva, E. A. [UNESP]
Digital image processing
Drought
Landsat
Monitoring reservoir
Remote sensing
title_short Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
title_full Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
title_fullStr Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
title_full_unstemmed Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
title_sort Assessment of surface water at the Sobradinho reservoir under the effects of drought using multi-temporal Landsat Images
author Silva, E. A. [UNESP]
author_facet Silva, E. A. [UNESP]
Pedrosa, M. M. [UNESP]
Azevedo, S. C. [UNESP]
Cardim, G. P. [UNESP]
Carvalho, F. P.S. [UNESP]
author_role author
author2 Pedrosa, M. M. [UNESP]
Azevedo, S. C. [UNESP]
Cardim, G. P. [UNESP]
Carvalho, F. P.S. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva, E. A. [UNESP]
Pedrosa, M. M. [UNESP]
Azevedo, S. C. [UNESP]
Cardim, G. P. [UNESP]
Carvalho, F. P.S. [UNESP]
dc.subject.por.fl_str_mv Digital image processing
Drought
Landsat
Monitoring reservoir
Remote sensing
topic Digital image processing
Drought
Landsat
Monitoring reservoir
Remote sensing
description The matrix of energy generation in Brazil is predominantly hydroelectric power. Consequently, the reservoirs need constant monitoring due to the large volume of artificially dammed water. Images from remote sensing can provide reliable information concerning water bodies. In this paper, we use remote sensing imagery to monitor the Sobradinho dam in three different epochs. The objective was to verify quantitatively the area of the dam's surface reduced due to the drought of 2015, which was considered the worst in history. The approach used water surface area estimations from bands of Landsat5 and Landsat8 satellites which highlight water bodies better from other features present on surface of the Earth. Through the techniques of growth region and normalized difference water index (NDWI), we determined the surface area of the reservoir in 2011 and calculated the decrease caused by the drought. By analyzing the numbers provided by the results it is possible to estimate how the Sobradinho reservoir has been affected by the drastic drought. The results show that the Landsat images enable the monitoring of large reservoirs. Bearing in mind that monitoring is a primary and indispensable tool, not only for technical study, but also for economic and environmental research, it can help establish planning projects and water administration strategies for future decisions about the hydrical resource priority.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-12-11T17:04:33Z
2018-12-11T17:04:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5194/isprsarchives-XLI-B8-387-2016
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 41, p. 387-392.
1682-1750
http://hdl.handle.net/11449/173298
10.5194/isprsarchives-XLI-B8-387-2016
2-s2.0-84979538892
2-s2.0-84979538892.pdf
url http://dx.doi.org/10.5194/isprsarchives-XLI-B8-387-2016
http://hdl.handle.net/11449/173298
identifier_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 41, p. 387-392.
1682-1750
10.5194/isprsarchives-XLI-B8-387-2016
2-s2.0-84979538892
2-s2.0-84979538892.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 387-392
application/pdf
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
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