Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina

Autores
Ferral, Anabella; Luccini, Eduardo; Aleksinkó, Alejandro; Scavuzzo, Carlos M.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Fil: Ferral, Anabella. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; Argentina
Fil: Ferral, Anabella. Universidad Blas Pascal; Argentina
Fil: Luccini, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Excelencia en Productos y Procesos de Córdoba; Argentina
Fil: Luccini, Eduardo. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario; Argentina
Fil: Aleksinkó, Alejandro. Secretaría de Recursos Hídricos y Coordinación de la Provincia de Córdoba; Argentina
Fil: Scavuzzo, Carlos M. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; Argentina
Abstract: The protection and restoration of water-related ecosystems is one of the goals to be achieved by the United Nations’ 2030 Agenda for Sustainable Development. In this framework and requested by government Argentine institutions concerned with water, biodiversity and territorial management, this study analyzes the evolution of the flooded area within the Dulce River wetlands and Mar Chiquita Lake Nature Reserve (centered around 30.6°S, 62.6°W, 70m above sea level) in Argentina since 2003, when the historical maximum extent was reached, until 2017. The Modified Normalized Difference Water Index (MNDWI) was calculated on atmospherically corrected NASA Landsat 5 Thematic Mapper (L5-TM) and Landsat 8 Operational Land Imager (L8-OLI) reflectance data over two-scene cloudless-sky mosaics to cover the whole Reserve. Mixed-water pixels constituted an important fraction of the total-water covered area, particularly during years of minimum water level in Mar Chiquita Lake. So, MNDWI values were analyzed along transects crossing two stable regional water bodies to determine precise thresholds for detection of non-water (MNDWI < −0.15 for L5-TM, MNDWI < −0.35 for L8-OLI), mixedwater (−0.15 < MNDWI < 0.4 for L5-TM, −0.35 < MNDWI < 0.5 for L8-OLI) and open-water (0.4 < MNDWI for L5-TM, 0.5 < MNDWI for L8-OLI) pixels. A higher spatial resolution image, SPOT5-HGR2, was used to validate the classification method. A confusion matrix was built which resulted in an overall accuracy of 99.2% and a Kappa coefficient of 0.98. In-situ Geo-referenced photographic registers were also taken simultaneously to a Landsat 8 overpass to confirm the classification thresholds. The analysis of simulated MNDWI response, by using the assumption of the linear mixture model, showed that mixed pixels should present from 9% to 76% of detectable open-water area. Maximum total flooded area extensions of about 3600 km2 by 2003–2005 and a minimum one of 2050 km2 by the end of 2011 were established, followed by a recent trend to the recovering with a total flooded area of about 3400 km2 in the period 2015–2017. Open-water covered area follows closely the behavior of in-situ water level measurements of Mar Chiquita Lake, showing a maximum in year 2003 and a minimum towards the end of 2013, in a significant linear relation from which a topographical slope of the terrain of about 0.012% is inferred that agrees with previous bathymetric studies. Results show the powerful complement between a reliable water satellite monitoring tool and locally-measured parameters in so dynamic wetland regions.
Fuente
Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. No.15, 2019.
Materia
HUMEDALES
BIODIVERSIDAD
AGUA
ECOSISTEMA
RESERVAS NATURALES
MEDIO AMBIENTE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/9005

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oai_identifier_str oai:ucacris:123456789/9005
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in ArgentinaFerral, AnabellaLuccini, EduardoAleksinkó, AlejandroScavuzzo, Carlos M.HUMEDALESBIODIVERSIDADAGUAECOSISTEMARESERVAS NATURALESMEDIO AMBIENTEFil: Ferral, Anabella. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; ArgentinaFil: Ferral, Anabella. Universidad Blas Pascal; ArgentinaFil: Luccini, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Excelencia en Productos y Procesos de Córdoba; ArgentinaFil: Luccini, Eduardo. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario; ArgentinaFil: Aleksinkó, Alejandro. Secretaría de Recursos Hídricos y Coordinación de la Provincia de Córdoba; ArgentinaFil: Scavuzzo, Carlos M. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; ArgentinaAbstract: The protection and restoration of water-related ecosystems is one of the goals to be achieved by the United Nations’ 2030 Agenda for Sustainable Development. In this framework and requested by government Argentine institutions concerned with water, biodiversity and territorial management, this study analyzes the evolution of the flooded area within the Dulce River wetlands and Mar Chiquita Lake Nature Reserve (centered around 30.6°S, 62.6°W, 70m above sea level) in Argentina since 2003, when the historical maximum extent was reached, until 2017. The Modified Normalized Difference Water Index (MNDWI) was calculated on atmospherically corrected NASA Landsat 5 Thematic Mapper (L5-TM) and Landsat 8 Operational Land Imager (L8-OLI) reflectance data over two-scene cloudless-sky mosaics to cover the whole Reserve. Mixed-water pixels constituted an important fraction of the total-water covered area, particularly during years of minimum water level in Mar Chiquita Lake. So, MNDWI values were analyzed along transects crossing two stable regional water bodies to determine precise thresholds for detection of non-water (MNDWI < −0.15 for L5-TM, MNDWI < −0.35 for L8-OLI), mixedwater (−0.15 < MNDWI < 0.4 for L5-TM, −0.35 < MNDWI < 0.5 for L8-OLI) and open-water (0.4 < MNDWI for L5-TM, 0.5 < MNDWI for L8-OLI) pixels. A higher spatial resolution image, SPOT5-HGR2, was used to validate the classification method. A confusion matrix was built which resulted in an overall accuracy of 99.2% and a Kappa coefficient of 0.98. In-situ Geo-referenced photographic registers were also taken simultaneously to a Landsat 8 overpass to confirm the classification thresholds. The analysis of simulated MNDWI response, by using the assumption of the linear mixture model, showed that mixed pixels should present from 9% to 76% of detectable open-water area. Maximum total flooded area extensions of about 3600 km2 by 2003–2005 and a minimum one of 2050 km2 by the end of 2011 were established, followed by a recent trend to the recovering with a total flooded area of about 3400 km2 in the period 2015–2017. Open-water covered area follows closely the behavior of in-situ water level measurements of Mar Chiquita Lake, showing a maximum in year 2003 and a minimum towards the end of 2013, in a significant linear relation from which a topographical slope of the terrain of about 0.012% is inferred that agrees with previous bathymetric studies. Results show the powerful complement between a reliable water satellite monitoring tool and locally-measured parameters in so dynamic wetland regions.Elsevier2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/90052352-938510.1016/j.rsase.2019.04.003Ferral, A. Luccini, E. Aleksinkó, A. Scavuzzo, Carlos M. Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina [en línea]. Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. 2019, 15. doy. 10.1016/j.rsase.2019.04.003. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9005Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. No.15, 2019.reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica ArgentinaengCórdoba (Argentina: provincia)info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:56:58Zoai:ucacris:123456789/9005instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:56:59.137Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
dc.title.none.fl_str_mv Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
title Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
spellingShingle Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
Ferral, Anabella
HUMEDALES
BIODIVERSIDAD
AGUA
ECOSISTEMA
RESERVAS NATURALES
MEDIO AMBIENTE
title_short Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
title_full Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
title_fullStr Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
title_full_unstemmed Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
title_sort Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina
dc.creator.none.fl_str_mv Ferral, Anabella
Luccini, Eduardo
Aleksinkó, Alejandro
Scavuzzo, Carlos M.
author Ferral, Anabella
author_facet Ferral, Anabella
Luccini, Eduardo
Aleksinkó, Alejandro
Scavuzzo, Carlos M.
author_role author
author2 Luccini, Eduardo
Aleksinkó, Alejandro
Scavuzzo, Carlos M.
author2_role author
author
author
dc.subject.none.fl_str_mv HUMEDALES
BIODIVERSIDAD
AGUA
ECOSISTEMA
RESERVAS NATURALES
MEDIO AMBIENTE
topic HUMEDALES
BIODIVERSIDAD
AGUA
ECOSISTEMA
RESERVAS NATURALES
MEDIO AMBIENTE
dc.description.none.fl_txt_mv Fil: Ferral, Anabella. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; Argentina
Fil: Ferral, Anabella. Universidad Blas Pascal; Argentina
Fil: Luccini, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Excelencia en Productos y Procesos de Córdoba; Argentina
Fil: Luccini, Eduardo. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario; Argentina
Fil: Aleksinkó, Alejandro. Secretaría de Recursos Hídricos y Coordinación de la Provincia de Córdoba; Argentina
Fil: Scavuzzo, Carlos M. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; Argentina
Abstract: The protection and restoration of water-related ecosystems is one of the goals to be achieved by the United Nations’ 2030 Agenda for Sustainable Development. In this framework and requested by government Argentine institutions concerned with water, biodiversity and territorial management, this study analyzes the evolution of the flooded area within the Dulce River wetlands and Mar Chiquita Lake Nature Reserve (centered around 30.6°S, 62.6°W, 70m above sea level) in Argentina since 2003, when the historical maximum extent was reached, until 2017. The Modified Normalized Difference Water Index (MNDWI) was calculated on atmospherically corrected NASA Landsat 5 Thematic Mapper (L5-TM) and Landsat 8 Operational Land Imager (L8-OLI) reflectance data over two-scene cloudless-sky mosaics to cover the whole Reserve. Mixed-water pixels constituted an important fraction of the total-water covered area, particularly during years of minimum water level in Mar Chiquita Lake. So, MNDWI values were analyzed along transects crossing two stable regional water bodies to determine precise thresholds for detection of non-water (MNDWI < −0.15 for L5-TM, MNDWI < −0.35 for L8-OLI), mixedwater (−0.15 < MNDWI < 0.4 for L5-TM, −0.35 < MNDWI < 0.5 for L8-OLI) and open-water (0.4 < MNDWI for L5-TM, 0.5 < MNDWI for L8-OLI) pixels. A higher spatial resolution image, SPOT5-HGR2, was used to validate the classification method. A confusion matrix was built which resulted in an overall accuracy of 99.2% and a Kappa coefficient of 0.98. In-situ Geo-referenced photographic registers were also taken simultaneously to a Landsat 8 overpass to confirm the classification thresholds. The analysis of simulated MNDWI response, by using the assumption of the linear mixture model, showed that mixed pixels should present from 9% to 76% of detectable open-water area. Maximum total flooded area extensions of about 3600 km2 by 2003–2005 and a minimum one of 2050 km2 by the end of 2011 were established, followed by a recent trend to the recovering with a total flooded area of about 3400 km2 in the period 2015–2017. Open-water covered area follows closely the behavior of in-situ water level measurements of Mar Chiquita Lake, showing a maximum in year 2003 and a minimum towards the end of 2013, in a significant linear relation from which a topographical slope of the terrain of about 0.012% is inferred that agrees with previous bathymetric studies. Results show the powerful complement between a reliable water satellite monitoring tool and locally-measured parameters in so dynamic wetland regions.
description Fil: Ferral, Anabella. Universidad Nacional de Córdoba. Comisión Nacional de Actividades Espaciales. Instituto Gulich. Centro Espacial Teófilo Tabanera; Argentina
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://repositorio.uca.edu.ar/handle/123456789/9005
2352-9385
10.1016/j.rsase.2019.04.003
Ferral, A. Luccini, E. Aleksinkó, A. Scavuzzo, Carlos M. Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina [en línea]. Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. 2019, 15. doy. 10.1016/j.rsase.2019.04.003. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9005
url https://repositorio.uca.edu.ar/handle/123456789/9005
identifier_str_mv 2352-9385
10.1016/j.rsase.2019.04.003
Ferral, A. Luccini, E. Aleksinkó, A. Scavuzzo, Carlos M. Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina [en línea]. Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. 2019, 15. doy. 10.1016/j.rsase.2019.04.003. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9005
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Córdoba (Argentina: provincia)
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Postprint del artículo publicado en Remote Sensing Applications: Society and Environment. No.15, 2019.
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
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