Monitoring of regional lake water clarity using Landsat imagery

Autores
Bonansea, Matias; Bazán, Raquel; Ledesma, Claudia; Rodriguez, Claudia; Pinotti, Lucio Pedro
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The application of remote sensing technology to water quality monitoring has special significance for lake management at regional scale. Water clarity expressed in terms of Secchi disk transparency (SDT) is a highly useful indicator of trophic status and ecosystem health. In this study, we related Landsat TM and ETM+ data with ground observations to develop a model for the estimation of SDT which can be used as a standardized procedure for regional-scale lake clarity assessment in the central region of Argentina. Samples were taken from two reservoirs of the region. Pearson correlation coefficients and step-wise multiple regression analysis were used to evaluate correlation between Landsat bands and measured SDT. Results suggested that Landsat band 3 plus the ratio 1/3 was a consistent and reliable predictor of SDT (R2 = 0.80). The algorithm was validated (R2 = 0.81) and applied to the November 10, 2010 ETM+ image obtaining a map that characterized water clarity of reservoirs within the study area. The procedure presented here could become a low cost measurement tool for water management authorities and decision-makers, obtaining simpler and practical results for regional water clarity monitoring.
Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Estudios Basicos y Agropecuarios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bazán, Raquel. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Ledesma, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina
Fil: Rodriguez, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina
Fil: Pinotti, Lucio Pedro. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Algorithm
Landsat
Remote Sensing
Reservoir
Secchi Disk Transparency
Water Clarity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/69975
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Monitoring of regional lake water clarity using Landsat imageryBonansea, MatiasBazán, RaquelLedesma, ClaudiaRodriguez, ClaudiaPinotti, Lucio PedroAlgorithmLandsatRemote SensingReservoirSecchi Disk TransparencyWater Clarityhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2The application of remote sensing technology to water quality monitoring has special significance for lake management at regional scale. Water clarity expressed in terms of Secchi disk transparency (SDT) is a highly useful indicator of trophic status and ecosystem health. In this study, we related Landsat TM and ETM+ data with ground observations to develop a model for the estimation of SDT which can be used as a standardized procedure for regional-scale lake clarity assessment in the central region of Argentina. Samples were taken from two reservoirs of the region. Pearson correlation coefficients and step-wise multiple regression analysis were used to evaluate correlation between Landsat bands and measured SDT. Results suggested that Landsat band 3 plus the ratio 1/3 was a consistent and reliable predictor of SDT (R2 = 0.80). The algorithm was validated (R2 = 0.81) and applied to the November 10, 2010 ETM+ image obtaining a map that characterized water clarity of reservoirs within the study area. The procedure presented here could become a low cost measurement tool for water management authorities and decision-makers, obtaining simpler and practical results for regional water clarity monitoring.Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Estudios Basicos y Agropecuarios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bazán, Raquel. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; ArgentinaFil: Ledesma, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; ArgentinaFil: Rodriguez, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; ArgentinaFil: Pinotti, Lucio Pedro. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaBritish Hydrological Society2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/69975Bonansea, Matias; Bazán, Raquel; Ledesma, Claudia; Rodriguez, Claudia; Pinotti, Lucio Pedro; Monitoring of regional lake water clarity using Landsat imagery; British Hydrological Society; Hydrology Research; 46; 5; 10-2015; 661-6702224-7955CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2166/nh.2014.211info:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/hr/article-abstract/46/5/661/1157/Monitoring-of-regional-lake-water-clarity-usinginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:56Zoai:ri.conicet.gov.ar:11336/69975instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:43:57.17CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Monitoring of regional lake water clarity using Landsat imagery
title Monitoring of regional lake water clarity using Landsat imagery
spellingShingle Monitoring of regional lake water clarity using Landsat imagery
Bonansea, Matias
Algorithm
Landsat
Remote Sensing
Reservoir
Secchi Disk Transparency
Water Clarity
title_short Monitoring of regional lake water clarity using Landsat imagery
title_full Monitoring of regional lake water clarity using Landsat imagery
title_fullStr Monitoring of regional lake water clarity using Landsat imagery
title_full_unstemmed Monitoring of regional lake water clarity using Landsat imagery
title_sort Monitoring of regional lake water clarity using Landsat imagery
dc.creator.none.fl_str_mv Bonansea, Matias
Bazán, Raquel
Ledesma, Claudia
Rodriguez, Claudia
Pinotti, Lucio Pedro
author Bonansea, Matias
author_facet Bonansea, Matias
Bazán, Raquel
Ledesma, Claudia
Rodriguez, Claudia
Pinotti, Lucio Pedro
author_role author
author2 Bazán, Raquel
Ledesma, Claudia
Rodriguez, Claudia
Pinotti, Lucio Pedro
author2_role author
author
author
author
dc.subject.none.fl_str_mv Algorithm
Landsat
Remote Sensing
Reservoir
Secchi Disk Transparency
Water Clarity
topic Algorithm
Landsat
Remote Sensing
Reservoir
Secchi Disk Transparency
Water Clarity
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The application of remote sensing technology to water quality monitoring has special significance for lake management at regional scale. Water clarity expressed in terms of Secchi disk transparency (SDT) is a highly useful indicator of trophic status and ecosystem health. In this study, we related Landsat TM and ETM+ data with ground observations to develop a model for the estimation of SDT which can be used as a standardized procedure for regional-scale lake clarity assessment in the central region of Argentina. Samples were taken from two reservoirs of the region. Pearson correlation coefficients and step-wise multiple regression analysis were used to evaluate correlation between Landsat bands and measured SDT. Results suggested that Landsat band 3 plus the ratio 1/3 was a consistent and reliable predictor of SDT (R2 = 0.80). The algorithm was validated (R2 = 0.81) and applied to the November 10, 2010 ETM+ image obtaining a map that characterized water clarity of reservoirs within the study area. The procedure presented here could become a low cost measurement tool for water management authorities and decision-makers, obtaining simpler and practical results for regional water clarity monitoring.
Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Estudios Basicos y Agropecuarios; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bazán, Raquel. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Fil: Ledesma, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina
Fil: Rodriguez, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina
Fil: Pinotti, Lucio Pedro. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The application of remote sensing technology to water quality monitoring has special significance for lake management at regional scale. Water clarity expressed in terms of Secchi disk transparency (SDT) is a highly useful indicator of trophic status and ecosystem health. In this study, we related Landsat TM and ETM+ data with ground observations to develop a model for the estimation of SDT which can be used as a standardized procedure for regional-scale lake clarity assessment in the central region of Argentina. Samples were taken from two reservoirs of the region. Pearson correlation coefficients and step-wise multiple regression analysis were used to evaluate correlation between Landsat bands and measured SDT. Results suggested that Landsat band 3 plus the ratio 1/3 was a consistent and reliable predictor of SDT (R2 = 0.80). The algorithm was validated (R2 = 0.81) and applied to the November 10, 2010 ETM+ image obtaining a map that characterized water clarity of reservoirs within the study area. The procedure presented here could become a low cost measurement tool for water management authorities and decision-makers, obtaining simpler and practical results for regional water clarity monitoring.
publishDate 2015
dc.date.none.fl_str_mv 2015-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/69975
Bonansea, Matias; Bazán, Raquel; Ledesma, Claudia; Rodriguez, Claudia; Pinotti, Lucio Pedro; Monitoring of regional lake water clarity using Landsat imagery; British Hydrological Society; Hydrology Research; 46; 5; 10-2015; 661-670
2224-7955
CONICET Digital
CONICET
url http://hdl.handle.net/11336/69975
identifier_str_mv Bonansea, Matias; Bazán, Raquel; Ledesma, Claudia; Rodriguez, Claudia; Pinotti, Lucio Pedro; Monitoring of regional lake water clarity using Landsat imagery; British Hydrological Society; Hydrology Research; 46; 5; 10-2015; 661-670
2224-7955
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2166/nh.2014.211
info:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/hr/article-abstract/46/5/661/1157/Monitoring-of-regional-lake-water-clarity-using
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv British Hydrological Society
publisher.none.fl_str_mv British Hydrological Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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