Effects of atmospheric correction of Landsat imagery on lake water clarity assessment

Autores
Bonansea, Matias; Ledesma, Claudia; Rodriguez, Maria Claudia; Pinotti, Lucio Pedro; Homem Antunes, Mauro
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtained from top-of-atmosphere reflectance. The objective of this study was to evaluate whether the reliability of water clarity can be improved applying atmospheric correction of Landsat imagery. Further, a general predictive algorithm to determine water clarity in the reservoir was developed. Samples of SDT were taken from Río Tercero reservoir (Argentina). Landsat images were atmospheric corrected using the 6S code. Estimated values of SDT with and without atmospheric correction were compared for their differences. Results suggested that atmospheric corrected values of Landsat band 3 and the ratio 1/3 proved to be the best predictor of water clarity in the reservoir (R 2 = 0.84). Using the 6S code we demonstrate the usefulness of atmospheric correction to Landsat data since water clarity algorithm using surface reflectance was more reliable than the top-of atmosphere reflectance model.
Fil: Bonansea, Matias. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ledesma, Claudia. Universidad Nacional de Río Cuarto; Argentina
Fil: Rodriguez, Maria Claudia. Universidad Nacional de Río Cuarto; Argentina
Fil: Pinotti, Lucio Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Homem Antunes, Mauro. Universidade Federal Rural do Rio de Janeiro; Brasil
Materia
6S MODEL
ATMOSPHERIC CORRECTION
LANDSAT
RESERVOIR
WATER CLARITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180104
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/180104
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Effects of atmospheric correction of Landsat imagery on lake water clarity assessmentBonansea, MatiasLedesma, ClaudiaRodriguez, Maria ClaudiaPinotti, Lucio PedroHomem Antunes, Mauro6S MODELATMOSPHERIC CORRECTIONLANDSATRESERVOIRWATER CLARITYhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtained from top-of-atmosphere reflectance. The objective of this study was to evaluate whether the reliability of water clarity can be improved applying atmospheric correction of Landsat imagery. Further, a general predictive algorithm to determine water clarity in the reservoir was developed. Samples of SDT were taken from Río Tercero reservoir (Argentina). Landsat images were atmospheric corrected using the 6S code. Estimated values of SDT with and without atmospheric correction were compared for their differences. Results suggested that atmospheric corrected values of Landsat band 3 and the ratio 1/3 proved to be the best predictor of water clarity in the reservoir (R 2 = 0.84). Using the 6S code we demonstrate the usefulness of atmospheric correction to Landsat data since water clarity algorithm using surface reflectance was more reliable than the top-of atmosphere reflectance model.Fil: Bonansea, Matias. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Ledesma, Claudia. Universidad Nacional de Río Cuarto; ArgentinaFil: Rodriguez, Maria Claudia. Universidad Nacional de Río Cuarto; ArgentinaFil: Pinotti, Lucio Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Homem Antunes, Mauro. Universidade Federal Rural do Rio de Janeiro; BrasilElsevier2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180104Bonansea, Matias; Ledesma, Claudia; Rodriguez, Maria Claudia; Pinotti, Lucio Pedro; Homem Antunes, Mauro; Effects of atmospheric correction of Landsat imagery on lake water clarity assessment; Elsevier; Advances in Space Research; 56; 11; 12-2015; 2345-23550273-1177CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0273117715006602info:eu-repo/semantics/altIdentifier/doi/10.1016/j.asr.2015.09.018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:44Zoai:ri.conicet.gov.ar:11336/180104instacron: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 10:05:44.383CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
title Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
spellingShingle Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
Bonansea, Matias
6S MODEL
ATMOSPHERIC CORRECTION
LANDSAT
RESERVOIR
WATER CLARITY
title_short Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
title_full Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
title_fullStr Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
title_full_unstemmed Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
title_sort Effects of atmospheric correction of Landsat imagery on lake water clarity assessment
dc.creator.none.fl_str_mv Bonansea, Matias
Ledesma, Claudia
Rodriguez, Maria Claudia
Pinotti, Lucio Pedro
Homem Antunes, Mauro
author Bonansea, Matias
author_facet Bonansea, Matias
Ledesma, Claudia
Rodriguez, Maria Claudia
Pinotti, Lucio Pedro
Homem Antunes, Mauro
author_role author
author2 Ledesma, Claudia
Rodriguez, Maria Claudia
Pinotti, Lucio Pedro
Homem Antunes, Mauro
author2_role author
author
author
author
dc.subject.none.fl_str_mv 6S MODEL
ATMOSPHERIC CORRECTION
LANDSAT
RESERVOIR
WATER CLARITY
topic 6S MODEL
ATMOSPHERIC CORRECTION
LANDSAT
RESERVOIR
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 Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtained from top-of-atmosphere reflectance. The objective of this study was to evaluate whether the reliability of water clarity can be improved applying atmospheric correction of Landsat imagery. Further, a general predictive algorithm to determine water clarity in the reservoir was developed. Samples of SDT were taken from Río Tercero reservoir (Argentina). Landsat images were atmospheric corrected using the 6S code. Estimated values of SDT with and without atmospheric correction were compared for their differences. Results suggested that atmospheric corrected values of Landsat band 3 and the ratio 1/3 proved to be the best predictor of water clarity in the reservoir (R 2 = 0.84). Using the 6S code we demonstrate the usefulness of atmospheric correction to Landsat data since water clarity algorithm using surface reflectance was more reliable than the top-of atmosphere reflectance model.
Fil: Bonansea, Matias. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ledesma, Claudia. Universidad Nacional de Río Cuarto; Argentina
Fil: Rodriguez, Maria Claudia. Universidad Nacional de Río Cuarto; Argentina
Fil: Pinotti, Lucio Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Homem Antunes, Mauro. Universidade Federal Rural do Rio de Janeiro; Brasil
description Empirical relationships between Landsat data and water clarity expressed in terms of Secchi disk transparency (SDT) have been widely used for monitoring and assessment of water quality. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the relationships obtained from top-of-atmosphere reflectance. The objective of this study was to evaluate whether the reliability of water clarity can be improved applying atmospheric correction of Landsat imagery. Further, a general predictive algorithm to determine water clarity in the reservoir was developed. Samples of SDT were taken from Río Tercero reservoir (Argentina). Landsat images were atmospheric corrected using the 6S code. Estimated values of SDT with and without atmospheric correction were compared for their differences. Results suggested that atmospheric corrected values of Landsat band 3 and the ratio 1/3 proved to be the best predictor of water clarity in the reservoir (R 2 = 0.84). Using the 6S code we demonstrate the usefulness of atmospheric correction to Landsat data since water clarity algorithm using surface reflectance was more reliable than the top-of atmosphere reflectance model.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/180104
Bonansea, Matias; Ledesma, Claudia; Rodriguez, Maria Claudia; Pinotti, Lucio Pedro; Homem Antunes, Mauro; Effects of atmospheric correction of Landsat imagery on lake water clarity assessment; Elsevier; Advances in Space Research; 56; 11; 12-2015; 2345-2355
0273-1177
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180104
identifier_str_mv Bonansea, Matias; Ledesma, Claudia; Rodriguez, Maria Claudia; Pinotti, Lucio Pedro; Homem Antunes, Mauro; Effects of atmospheric correction of Landsat imagery on lake water clarity assessment; Elsevier; Advances in Space Research; 56; 11; 12-2015; 2345-2355
0273-1177
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0273117715006602
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.asr.2015.09.018
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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