Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure

Autores
González Vilas, Luis; Brando, Vittorio E.; Concha, Javier A.; Goyens, Clèmence; Dogliotti, Ana Inés; Doxaran, David; Dille, Antoine; Van der Zande, Dimitry
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A Match-up Database (MDB) file structure and tools were developed to ease thevalidation analysis of satellite water products and to improve the exchange andprocessing of match-up data from different sites, missions and atmosphericcorrection processors. In situ remote sensing reflectance (Rrs) measurementswere available from the HYPSTAR® (HYperspectral Pointable System forTerrestrial and Aquatic Radiometry), a new automated hyperspectralradiometer. An MDB file is a NetCDF file containing all the potential matchupsbetween satellite and in situ data on a specific site and within a given timewindow. These files are generated and manipulated with three modulesdeveloped in Python to implement the validation protocols: extract satellitedata, associate each extract with co-located in situ radiometry data, and thenperform the validation analysis. This work provides details on the implementationof the open-source MDB file structure and tools. The approach is demonstratedby a multi-site matchup comparison based on satellite data from the Sentinel-2MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six watersites with diverse optical regimes from February 2021 to March 2023.The analysisof Sentinel-3 OLCI matchups across the six sites shows consistency with previouscomparisons based on AERONET-OC data over extended reflectance range. Weevaluated Sentinel-2 MSI reflectance data corrected with two atmosphericcorrection processors (ACOLITE and C2RCC) over four sites with clear tohighly turbid waters. Results showed that the performance of the processorsdepends on the optical regime of the sites. Overall, we proved the suitability of theopen-source MDB-based approach to implement validation protocols andgenerate automated matchup analyses for different missions, processorsand sites.
Fil: González Vilas, Luis. Consiglio Nazionale delle Ricerche; Italia
Fil: Brando, Vittorio E.. Consiglio Nazionale delle Ricerche; Italia
Fil: Concha, Javier A.. Consiglio Nazionale delle Ricerche; Italia
Fil: Goyens, Clèmence. Royal Belgian Institute of Natural Sciences; Bélgica
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: Doxaran, David. Centre National de la Recherche Scientifique; Francia
Fil: Dille, Antoine. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Van der Zande, Dimitry. Royal Belgian Institute of Natural Sciences; Bélgica
Materia
ocean color
satellite validation
hyperspectral reflectance
Sentinel-3 OLCI
Sentinel- 2 MSI
Match-up Database (MDB)
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:11336/237373
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/237373
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structureGonzález Vilas, LuisBrando, Vittorio E.Concha, Javier A.Goyens, ClèmenceDogliotti, Ana InésDoxaran, DavidDille, AntoineVan der Zande, Dimitryocean colorsatellite validationhyperspectral reflectanceSentinel-3 OLCISentinel- 2 MSIMatch-up Database (MDB)https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1A Match-up Database (MDB) file structure and tools were developed to ease thevalidation analysis of satellite water products and to improve the exchange andprocessing of match-up data from different sites, missions and atmosphericcorrection processors. In situ remote sensing reflectance (Rrs) measurementswere available from the HYPSTAR® (HYperspectral Pointable System forTerrestrial and Aquatic Radiometry), a new automated hyperspectralradiometer. An MDB file is a NetCDF file containing all the potential matchupsbetween satellite and in situ data on a specific site and within a given timewindow. These files are generated and manipulated with three modulesdeveloped in Python to implement the validation protocols: extract satellitedata, associate each extract with co-located in situ radiometry data, and thenperform the validation analysis. This work provides details on the implementationof the open-source MDB file structure and tools. The approach is demonstratedby a multi-site matchup comparison based on satellite data from the Sentinel-2MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six watersites with diverse optical regimes from February 2021 to March 2023.The analysisof Sentinel-3 OLCI matchups across the six sites shows consistency with previouscomparisons based on AERONET-OC data over extended reflectance range. Weevaluated Sentinel-2 MSI reflectance data corrected with two atmosphericcorrection processors (ACOLITE and C2RCC) over four sites with clear tohighly turbid waters. Results showed that the performance of the processorsdepends on the optical regime of the sites. Overall, we proved the suitability of theopen-source MDB-based approach to implement validation protocols andgenerate automated matchup analyses for different missions, processorsand sites.Fil: González Vilas, Luis. Consiglio Nazionale delle Ricerche; ItaliaFil: Brando, Vittorio E.. Consiglio Nazionale delle Ricerche; ItaliaFil: Concha, Javier A.. Consiglio Nazionale delle Ricerche; ItaliaFil: Goyens, Clèmence. Royal Belgian Institute of Natural Sciences; BélgicaFil: 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: Doxaran, David. Centre National de la Recherche Scientifique; FranciaFil: Dille, Antoine. Royal Belgian Institute of Natural Sciences; BélgicaFil: Van der Zande, Dimitry. Royal Belgian Institute of Natural Sciences; BélgicaFrontiers Media2024-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/237373González Vilas, Luis; Brando, Vittorio E.; Concha, Javier A.; Goyens, Clèmence; Dogliotti, Ana Inés; et al.; Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure; Frontiers Media; Frontiers in Remote Sensing; 5; 3-2024; 1-232673-6187CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/frsen.2024.1330317/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/frsen.2024.1330317info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:59:09Zoai:ri.conicet.gov.ar:11336/237373instacron: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:34982025-10-15 14:59:09.311CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
title Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
spellingShingle Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
González Vilas, Luis
ocean color
satellite validation
hyperspectral reflectance
Sentinel-3 OLCI
Sentinel- 2 MSI
Match-up Database (MDB)
title_short Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
title_full Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
title_fullStr Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
title_full_unstemmed Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
title_sort Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure
dc.creator.none.fl_str_mv González Vilas, Luis
Brando, Vittorio E.
Concha, Javier A.
Goyens, Clèmence
Dogliotti, Ana Inés
Doxaran, David
Dille, Antoine
Van der Zande, Dimitry
author González Vilas, Luis
author_facet González Vilas, Luis
Brando, Vittorio E.
Concha, Javier A.
Goyens, Clèmence
Dogliotti, Ana Inés
Doxaran, David
Dille, Antoine
Van der Zande, Dimitry
author_role author
author2 Brando, Vittorio E.
Concha, Javier A.
Goyens, Clèmence
Dogliotti, Ana Inés
Doxaran, David
Dille, Antoine
Van der Zande, Dimitry
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ocean color
satellite validation
hyperspectral reflectance
Sentinel-3 OLCI
Sentinel- 2 MSI
Match-up Database (MDB)
topic ocean color
satellite validation
hyperspectral reflectance
Sentinel-3 OLCI
Sentinel- 2 MSI
Match-up Database (MDB)
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A Match-up Database (MDB) file structure and tools were developed to ease thevalidation analysis of satellite water products and to improve the exchange andprocessing of match-up data from different sites, missions and atmosphericcorrection processors. In situ remote sensing reflectance (Rrs) measurementswere available from the HYPSTAR® (HYperspectral Pointable System forTerrestrial and Aquatic Radiometry), a new automated hyperspectralradiometer. An MDB file is a NetCDF file containing all the potential matchupsbetween satellite and in situ data on a specific site and within a given timewindow. These files are generated and manipulated with three modulesdeveloped in Python to implement the validation protocols: extract satellitedata, associate each extract with co-located in situ radiometry data, and thenperform the validation analysis. This work provides details on the implementationof the open-source MDB file structure and tools. The approach is demonstratedby a multi-site matchup comparison based on satellite data from the Sentinel-2MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six watersites with diverse optical regimes from February 2021 to March 2023.The analysisof Sentinel-3 OLCI matchups across the six sites shows consistency with previouscomparisons based on AERONET-OC data over extended reflectance range. Weevaluated Sentinel-2 MSI reflectance data corrected with two atmosphericcorrection processors (ACOLITE and C2RCC) over four sites with clear tohighly turbid waters. Results showed that the performance of the processorsdepends on the optical regime of the sites. Overall, we proved the suitability of theopen-source MDB-based approach to implement validation protocols andgenerate automated matchup analyses for different missions, processorsand sites.
Fil: González Vilas, Luis. Consiglio Nazionale delle Ricerche; Italia
Fil: Brando, Vittorio E.. Consiglio Nazionale delle Ricerche; Italia
Fil: Concha, Javier A.. Consiglio Nazionale delle Ricerche; Italia
Fil: Goyens, Clèmence. Royal Belgian Institute of Natural Sciences; Bélgica
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: Doxaran, David. Centre National de la Recherche Scientifique; Francia
Fil: Dille, Antoine. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Van der Zande, Dimitry. Royal Belgian Institute of Natural Sciences; Bélgica
description A Match-up Database (MDB) file structure and tools were developed to ease thevalidation analysis of satellite water products and to improve the exchange andprocessing of match-up data from different sites, missions and atmosphericcorrection processors. In situ remote sensing reflectance (Rrs) measurementswere available from the HYPSTAR® (HYperspectral Pointable System forTerrestrial and Aquatic Radiometry), a new automated hyperspectralradiometer. An MDB file is a NetCDF file containing all the potential matchupsbetween satellite and in situ data on a specific site and within a given timewindow. These files are generated and manipulated with three modulesdeveloped in Python to implement the validation protocols: extract satellitedata, associate each extract with co-located in situ radiometry data, and thenperform the validation analysis. This work provides details on the implementationof the open-source MDB file structure and tools. The approach is demonstratedby a multi-site matchup comparison based on satellite data from the Sentinel-2MSI and Sentinel-3 OLCI sensors, and HYPSTAR® data acquired over six watersites with diverse optical regimes from February 2021 to March 2023.The analysisof Sentinel-3 OLCI matchups across the six sites shows consistency with previouscomparisons based on AERONET-OC data over extended reflectance range. Weevaluated Sentinel-2 MSI reflectance data corrected with two atmosphericcorrection processors (ACOLITE and C2RCC) over four sites with clear tohighly turbid waters. Results showed that the performance of the processorsdepends on the optical regime of the sites. Overall, we proved the suitability of theopen-source MDB-based approach to implement validation protocols andgenerate automated matchup analyses for different missions, processorsand sites.
publishDate 2024
dc.date.none.fl_str_mv 2024-03
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/11336/237373
González Vilas, Luis; Brando, Vittorio E.; Concha, Javier A.; Goyens, Clèmence; Dogliotti, Ana Inés; et al.; Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure; Frontiers Media; Frontiers in Remote Sensing; 5; 3-2024; 1-23
2673-6187
CONICET Digital
CONICET
url http://hdl.handle.net/11336/237373
identifier_str_mv González Vilas, Luis; Brando, Vittorio E.; Concha, Javier A.; Goyens, Clèmence; Dogliotti, Ana Inés; et al.; Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure; Frontiers Media; Frontiers in Remote Sensing; 5; 3-2024; 1-23
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.2024.1330317/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/frsen.2024.1330317
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 13.22299

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