SuperDove radiometric data assessment in coastal and inland waters

Autores
Cazzaniga, Ilaria; Dogliotti, Ana Inés; Kratzer, Susanne; Mélin, Frédéric
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The use of high-resolution data in aquatic applications increased significantly in the last decade with the launch of decametre-scale optical sensors. More recently, commercial very-high resolution (VHR) sensors, offering finer spatial and temporal resolutions, have shown the potential of complementing data from high-resolution missions. Planet SuperDove (SD), with a band-setting similar to the Copernicus Sentinel-2 MultiSpectral Instrument (S2-MSI), a 3-m spatial resolution and quasi-daily revisiting time, show the potential for wideningwater monitoring applications to smaller water basins, and finer-scale phenomena. However, the uncertainties in SD products need to be quantified, to assess their fitness-for-purpose for these applications. This work aims to provide uncertainty estimates for SD-derived aquatic remote sensing reflectance (RRS) in different water types, benefitting from the radiometric measurements of the AERONET-OC network. RRS was derived from bothSurface Reflectance (SR) products, distributed by Planet, or from data processed with ACOLITE. The comparability between SD and S2-MSI products was also assessed comparing RRS and Rayleigh-corrected reflectance (RRC) from S2-MSI and SD. The results indicate generally low performance across all bands for both SD RRS products, except in the most turbid waters, and highlight the lack of a publicly available robust atmospheric correction processor for SD data for most optical water types. The comparison to S2-MSI shows promising results only when comparing RRC values, but differences still suggest issues associated with calibration and radiometry of the SD sensors. The results also highlight the need for a harmonization strategy to ensure consistent integration of thesedatasets within multi-source monitoring systems.
Fil: Cazzaniga, Ilaria. No especifíca;
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Kratzer, Susanne. No especifíca;
Fil: Mélin, Frédéric. No especifíca;
Materia
very-high resolution
Planet SuperDove
atmospheric correction
remote sensing reflectance
radiometry
ocean color
harmful algal blooms
Sentinel-2
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:11336/287628
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/287628
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling SuperDove radiometric data assessment in coastal and inland watersCazzaniga, IlariaDogliotti, Ana InésKratzer, SusanneMélin, Frédéricvery-high resolutionPlanet SuperDoveatmospheric correctionremote sensing reflectanceradiometryocean colorharmful algal bloomsSentinel-2https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The use of high-resolution data in aquatic applications increased significantly in the last decade with the launch of decametre-scale optical sensors. More recently, commercial very-high resolution (VHR) sensors, offering finer spatial and temporal resolutions, have shown the potential of complementing data from high-resolution missions. Planet SuperDove (SD), with a band-setting similar to the Copernicus Sentinel-2 MultiSpectral Instrument (S2-MSI), a 3-m spatial resolution and quasi-daily revisiting time, show the potential for wideningwater monitoring applications to smaller water basins, and finer-scale phenomena. However, the uncertainties in SD products need to be quantified, to assess their fitness-for-purpose for these applications. This work aims to provide uncertainty estimates for SD-derived aquatic remote sensing reflectance (RRS) in different water types, benefitting from the radiometric measurements of the AERONET-OC network. RRS was derived from bothSurface Reflectance (SR) products, distributed by Planet, or from data processed with ACOLITE. The comparability between SD and S2-MSI products was also assessed comparing RRS and Rayleigh-corrected reflectance (RRC) from S2-MSI and SD. The results indicate generally low performance across all bands for both SD RRS products, except in the most turbid waters, and highlight the lack of a publicly available robust atmospheric correction processor for SD data for most optical water types. The comparison to S2-MSI shows promising results only when comparing RRC values, but differences still suggest issues associated with calibration and radiometry of the SD sensors. The results also highlight the need for a harmonization strategy to ensure consistent integration of thesedatasets within multi-source monitoring systems.Fil: Cazzaniga, Ilaria. No especifíca;Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Kratzer, Susanne. No especifíca;Fil: Mélin, Frédéric. No especifíca;Frontiers Media2026-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/287628Cazzaniga, Ilaria; Dogliotti, Ana Inés; Kratzer, Susanne; Mélin, Frédéric; SuperDove radiometric data assessment in coastal and inland waters; Frontiers Media; Frontiers in Remote Sensing; 6; 2-2026; 1-132673-6187CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/frsen.2025.1753296/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/frsen.2025.1753296info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:34:03Zoai:ri.conicet.gov.ar:11336/287628instacron: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 14:34:03.503CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv SuperDove radiometric data assessment in coastal and inland waters
title SuperDove radiometric data assessment in coastal and inland waters
spellingShingle SuperDove radiometric data assessment in coastal and inland waters
Cazzaniga, Ilaria
very-high resolution
Planet SuperDove
atmospheric correction
remote sensing reflectance
radiometry
ocean color
harmful algal blooms
Sentinel-2
title_short SuperDove radiometric data assessment in coastal and inland waters
title_full SuperDove radiometric data assessment in coastal and inland waters
title_fullStr SuperDove radiometric data assessment in coastal and inland waters
title_full_unstemmed SuperDove radiometric data assessment in coastal and inland waters
title_sort SuperDove radiometric data assessment in coastal and inland waters
dc.creator.none.fl_str_mv Cazzaniga, Ilaria
Dogliotti, Ana Inés
Kratzer, Susanne
Mélin, Frédéric
author Cazzaniga, Ilaria
author_facet Cazzaniga, Ilaria
Dogliotti, Ana Inés
Kratzer, Susanne
Mélin, Frédéric
author_role author
author2 Dogliotti, Ana Inés
Kratzer, Susanne
Mélin, Frédéric
author2_role author
author
author
dc.subject.none.fl_str_mv very-high resolution
Planet SuperDove
atmospheric correction
remote sensing reflectance
radiometry
ocean color
harmful algal blooms
Sentinel-2
topic very-high resolution
Planet SuperDove
atmospheric correction
remote sensing reflectance
radiometry
ocean color
harmful algal blooms
Sentinel-2
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The use of high-resolution data in aquatic applications increased significantly in the last decade with the launch of decametre-scale optical sensors. More recently, commercial very-high resolution (VHR) sensors, offering finer spatial and temporal resolutions, have shown the potential of complementing data from high-resolution missions. Planet SuperDove (SD), with a band-setting similar to the Copernicus Sentinel-2 MultiSpectral Instrument (S2-MSI), a 3-m spatial resolution and quasi-daily revisiting time, show the potential for wideningwater monitoring applications to smaller water basins, and finer-scale phenomena. However, the uncertainties in SD products need to be quantified, to assess their fitness-for-purpose for these applications. This work aims to provide uncertainty estimates for SD-derived aquatic remote sensing reflectance (RRS) in different water types, benefitting from the radiometric measurements of the AERONET-OC network. RRS was derived from bothSurface Reflectance (SR) products, distributed by Planet, or from data processed with ACOLITE. The comparability between SD and S2-MSI products was also assessed comparing RRS and Rayleigh-corrected reflectance (RRC) from S2-MSI and SD. The results indicate generally low performance across all bands for both SD RRS products, except in the most turbid waters, and highlight the lack of a publicly available robust atmospheric correction processor for SD data for most optical water types. The comparison to S2-MSI shows promising results only when comparing RRC values, but differences still suggest issues associated with calibration and radiometry of the SD sensors. The results also highlight the need for a harmonization strategy to ensure consistent integration of thesedatasets within multi-source monitoring systems.
Fil: Cazzaniga, Ilaria. No especifíca;
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Kratzer, Susanne. No especifíca;
Fil: Mélin, Frédéric. No especifíca;
description The use of high-resolution data in aquatic applications increased significantly in the last decade with the launch of decametre-scale optical sensors. More recently, commercial very-high resolution (VHR) sensors, offering finer spatial and temporal resolutions, have shown the potential of complementing data from high-resolution missions. Planet SuperDove (SD), with a band-setting similar to the Copernicus Sentinel-2 MultiSpectral Instrument (S2-MSI), a 3-m spatial resolution and quasi-daily revisiting time, show the potential for wideningwater monitoring applications to smaller water basins, and finer-scale phenomena. However, the uncertainties in SD products need to be quantified, to assess their fitness-for-purpose for these applications. This work aims to provide uncertainty estimates for SD-derived aquatic remote sensing reflectance (RRS) in different water types, benefitting from the radiometric measurements of the AERONET-OC network. RRS was derived from bothSurface Reflectance (SR) products, distributed by Planet, or from data processed with ACOLITE. The comparability between SD and S2-MSI products was also assessed comparing RRS and Rayleigh-corrected reflectance (RRC) from S2-MSI and SD. The results indicate generally low performance across all bands for both SD RRS products, except in the most turbid waters, and highlight the lack of a publicly available robust atmospheric correction processor for SD data for most optical water types. The comparison to S2-MSI shows promising results only when comparing RRC values, but differences still suggest issues associated with calibration and radiometry of the SD sensors. The results also highlight the need for a harmonization strategy to ensure consistent integration of thesedatasets within multi-source monitoring systems.
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/11336/287628
Cazzaniga, Ilaria; Dogliotti, Ana Inés; Kratzer, Susanne; Mélin, Frédéric; SuperDove radiometric data assessment in coastal and inland waters; Frontiers Media; Frontiers in Remote Sensing; 6; 2-2026; 1-13
2673-6187
CONICET Digital
CONICET
url http://hdl.handle.net/11336/287628
identifier_str_mv Cazzaniga, Ilaria; Dogliotti, Ana Inés; Kratzer, Susanne; Mélin, Frédéric; SuperDove radiometric data assessment in coastal and inland waters; Frontiers Media; Frontiers in Remote Sensing; 6; 2-2026; 1-13
2673-6187
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.frontiersin.org/articles/10.3389/frsen.2025.1753296/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/frsen.2025.1753296
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
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
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 13.265058

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