Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review

Autores
Garzo, Pedro Andrés; Merlotto, Alejandra; Fernández Montblanc, Tomás
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Coastal management relies on the monitoring of coastal behavior, both in the short and long term, which requires a high availability of accurate and up-to-date data. Conventional in situ surveying methods are constrained by spatiotemporal limitations and high operational and logistical costs. In response, satellite-derived methods offer a powerful alternative based on the remote assessment of morphodynamic features. Despite their advantages, these methods are limited by the influence of deterministic and stochastic sea-level variations, which introduce significant errors. Currently, corrections based on deterministic components (i.e., astronomical tides) are widely incorporated into scientific assessments. However, stochastic variations, such as waves and surge conditions, are not equally represented. This work conducted a systematic review of published scientific literature to assess the integration of corrections for stochastically induced errors. The results demonstrated that a limited number of studies have developed an approach that substantially improves error reduction across a wide range of coastal settings. However, environmental and methodological–conceptual aspects still constrain these techniques for large-scale applications. If robust adjustments are achieved through highly reliable topo-bathymetric, water-level, and wave datasets, satellite-derived data become a unique tool that can directly support coastal disaster mitigation and risk management.
Fil: Garzo, Pedro Andrés. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; Argentina
Fil: Merlotto, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Fernández Montblanc, Tomás. Universidad de Cádiz; España
Materia
Wave setup
Wave runup
Storm surge
Remote sensing
Shoreline change
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/288127
Acceder
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spelling Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic ReviewGarzo, Pedro AndrésMerlotto, AlejandraFernández Montblanc, TomásWave setupWave runupStorm surgeRemote sensingShoreline changehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Coastal management relies on the monitoring of coastal behavior, both in the short and long term, which requires a high availability of accurate and up-to-date data. Conventional in situ surveying methods are constrained by spatiotemporal limitations and high operational and logistical costs. In response, satellite-derived methods offer a powerful alternative based on the remote assessment of morphodynamic features. Despite their advantages, these methods are limited by the influence of deterministic and stochastic sea-level variations, which introduce significant errors. Currently, corrections based on deterministic components (i.e., astronomical tides) are widely incorporated into scientific assessments. However, stochastic variations, such as waves and surge conditions, are not equally represented. This work conducted a systematic review of published scientific literature to assess the integration of corrections for stochastically induced errors. The results demonstrated that a limited number of studies have developed an approach that substantially improves error reduction across a wide range of coastal settings. However, environmental and methodological–conceptual aspects still constrain these techniques for large-scale applications. If robust adjustments are achieved through highly reliable topo-bathymetric, water-level, and wave datasets, satellite-derived data become a unique tool that can directly support coastal disaster mitigation and risk management.Fil: Garzo, Pedro Andrés. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; ArgentinaFil: Merlotto, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Fernández Montblanc, Tomás. Universidad de Cádiz; EspañaMDPI2026-02info: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/11336/288127Garzo, Pedro Andrés; Merlotto, Alejandra; Fernández Montblanc, Tomás; Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review; MDPI; Remote Sensing; 18; 5; 2-2026; 1-242072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/18/5/680info:eu-repo/semantics/altIdentifier/doi/10.3390/rs18050680info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:31:00Zoai:ri.conicet.gov.ar:11336/288127instacron: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:34982026-08-25 14:31:00.347CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
title Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
spellingShingle Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
Garzo, Pedro Andrés
Wave setup
Wave runup
Storm surge
Remote sensing
Shoreline change
title_short Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
title_full Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
title_fullStr Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
title_full_unstemmed Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
title_sort Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review
dc.creator.none.fl_str_mv Garzo, Pedro Andrés
Merlotto, Alejandra
Fernández Montblanc, Tomás
author Garzo, Pedro Andrés
author_facet Garzo, Pedro Andrés
Merlotto, Alejandra
Fernández Montblanc, Tomás
author_role author
author2 Merlotto, Alejandra
Fernández Montblanc, Tomás
author2_role author
author
dc.subject.none.fl_str_mv Wave setup
Wave runup
Storm surge
Remote sensing
Shoreline change
topic Wave setup
Wave runup
Storm surge
Remote sensing
Shoreline change
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Coastal management relies on the monitoring of coastal behavior, both in the short and long term, which requires a high availability of accurate and up-to-date data. Conventional in situ surveying methods are constrained by spatiotemporal limitations and high operational and logistical costs. In response, satellite-derived methods offer a powerful alternative based on the remote assessment of morphodynamic features. Despite their advantages, these methods are limited by the influence of deterministic and stochastic sea-level variations, which introduce significant errors. Currently, corrections based on deterministic components (i.e., astronomical tides) are widely incorporated into scientific assessments. However, stochastic variations, such as waves and surge conditions, are not equally represented. This work conducted a systematic review of published scientific literature to assess the integration of corrections for stochastically induced errors. The results demonstrated that a limited number of studies have developed an approach that substantially improves error reduction across a wide range of coastal settings. However, environmental and methodological–conceptual aspects still constrain these techniques for large-scale applications. If robust adjustments are achieved through highly reliable topo-bathymetric, water-level, and wave datasets, satellite-derived data become a unique tool that can directly support coastal disaster mitigation and risk management.
Fil: Garzo, Pedro Andrés. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Geología de Costas y del Cuaternario. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Geología de Costas y del Cuaternario; Argentina
Fil: Merlotto, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Fernández Montblanc, Tomás. Universidad de Cádiz; España
description Coastal management relies on the monitoring of coastal behavior, both in the short and long term, which requires a high availability of accurate and up-to-date data. Conventional in situ surveying methods are constrained by spatiotemporal limitations and high operational and logistical costs. In response, satellite-derived methods offer a powerful alternative based on the remote assessment of morphodynamic features. Despite their advantages, these methods are limited by the influence of deterministic and stochastic sea-level variations, which introduce significant errors. Currently, corrections based on deterministic components (i.e., astronomical tides) are widely incorporated into scientific assessments. However, stochastic variations, such as waves and surge conditions, are not equally represented. This work conducted a systematic review of published scientific literature to assess the integration of corrections for stochastically induced errors. The results demonstrated that a limited number of studies have developed an approach that substantially improves error reduction across a wide range of coastal settings. However, environmental and methodological–conceptual aspects still constrain these techniques for large-scale applications. If robust adjustments are achieved through highly reliable topo-bathymetric, water-level, and wave datasets, satellite-derived data become a unique tool that can directly support coastal disaster mitigation and risk management.
publishDate 2026
dc.date.none.fl_str_mv 2026-02
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/11336/288127
Garzo, Pedro Andrés; Merlotto, Alejandra; Fernández Montblanc, Tomás; Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review; MDPI; Remote Sensing; 18; 5; 2-2026; 1-24
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/288127
identifier_str_mv Garzo, Pedro Andrés; Merlotto, Alejandra; Fernández Montblanc, Tomás; Stochastic Water-Level Fluctuations in Satellite-Derived Shoreline Assessments: A Systematic Review; MDPI; Remote Sensing; 18; 5; 2-2026; 1-24
2072-4292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/18/5/680
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs18050680
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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 13.24418

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